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a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas.h new file mode 100644 index 0000000000000000000000000000000000000000..96eadad8a8e8c3979b99910ceea41ceaf2c8b58e --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas.h @@ -0,0 +1,891 @@ +/* + * Copyright 1993-2019 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +/* + * This is the public header file for the CUBLAS library, defining the API + * + * CUBLAS is an implementation of BLAS (Basic Linear Algebra Subroutines) + * on top of the CUDA runtime. + */ + +#if !defined(CUBLAS_H_) +#define CUBLAS_H_ + +#if defined(CUBLAS_V2_H_) +#error "It is an error to include both cublas.h and cublas_v2.h" +#endif + +#include + +#ifndef CUBLASWINAPI +#ifdef _WIN32 +#define CUBLASWINAPI __stdcall +#else +#define CUBLASWINAPI +#endif +#endif + +#undef CUBLASAPI +#ifdef __CUDACC__ +#define CUBLASAPI __host__ +#else +#define CUBLASAPI +#endif + +#include "cublas_api.h" + +#if defined(__cplusplus) +extern "C" { +#endif + +/* CUBLAS data types */ +#define cublasStatus cublasStatus_t + +cublasStatus CUBLASWINAPI cublasInit(void); +cublasStatus CUBLASWINAPI cublasShutdown(void); +cublasStatus CUBLASWINAPI cublasGetError(void); + +cublasStatus CUBLASWINAPI cublasGetVersion(int* version); +cublasStatus CUBLASWINAPI cublasAlloc(int n, int elemSize, void** devicePtr); + +cublasStatus CUBLASWINAPI cublasFree(void* devicePtr); + +cublasStatus CUBLASWINAPI cublasSetKernelStream(cudaStream_t stream); + +/* ---------------- CUBLAS BLAS1 functions ---------------- */ +/* NRM2 */ +float CUBLASWINAPI cublasSnrm2(int n, const float* x, int incx); +double CUBLASWINAPI cublasDnrm2(int n, const double* x, int incx); +float CUBLASWINAPI cublasScnrm2(int n, const cuComplex* x, int incx); +double CUBLASWINAPI cublasDznrm2(int n, const cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* DOT */ +float CUBLASWINAPI cublasSdot(int n, const float* x, int incx, const float* y, int incy); +double CUBLASWINAPI cublasDdot(int n, const double* x, int incx, const double* y, int incy); +cuComplex CUBLASWINAPI cublasCdotu(int n, const cuComplex* x, int incx, const cuComplex* y, int incy); +cuComplex CUBLASWINAPI cublasCdotc(int n, const cuComplex* x, int incx, const cuComplex* y, int incy); +cuDoubleComplex CUBLASWINAPI cublasZdotu(int n, const cuDoubleComplex* x, int incx, const cuDoubleComplex* y, int incy); +cuDoubleComplex CUBLASWINAPI cublasZdotc(int n, const cuDoubleComplex* x, int incx, const cuDoubleComplex* y, int incy); +/*------------------------------------------------------------------------*/ +/* SCAL */ +void CUBLASWINAPI cublasSscal(int n, float alpha, float* x, int incx); +void CUBLASWINAPI cublasDscal(int n, double alpha, double* x, int incx); +void CUBLASWINAPI cublasCscal(int n, cuComplex alpha, cuComplex* x, int incx); +void CUBLASWINAPI cublasZscal(int n, cuDoubleComplex alpha, cuDoubleComplex* x, int incx); + +void CUBLASWINAPI cublasCsscal(int n, float alpha, cuComplex* x, int incx); +void CUBLASWINAPI cublasZdscal(int n, double alpha, cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* AXPY */ +void CUBLASWINAPI cublasSaxpy(int n, float alpha, const float* x, int incx, float* y, int incy); +void CUBLASWINAPI cublasDaxpy(int n, double alpha, const double* x, int incx, double* y, int incy); +void CUBLASWINAPI cublasCaxpy(int n, cuComplex alpha, const cuComplex* x, int incx, cuComplex* y, int incy); +void CUBLASWINAPI +cublasZaxpy(int n, cuDoubleComplex alpha, const cuDoubleComplex* x, int incx, cuDoubleComplex* y, int incy); +/*------------------------------------------------------------------------*/ +/* COPY */ +void CUBLASWINAPI cublasScopy(int n, const float* x, int incx, float* y, int incy); +void CUBLASWINAPI cublasDcopy(int n, const double* x, int incx, double* y, int incy); +void CUBLASWINAPI cublasCcopy(int n, const cuComplex* x, int incx, cuComplex* y, int incy); +void CUBLASWINAPI cublasZcopy(int n, const cuDoubleComplex* x, int incx, cuDoubleComplex* y, int incy); +/*------------------------------------------------------------------------*/ +/* SWAP */ +void CUBLASWINAPI cublasSswap(int n, float* x, int incx, float* y, int incy); +void CUBLASWINAPI cublasDswap(int n, double* x, int incx, double* y, int incy); +void CUBLASWINAPI cublasCswap(int n, cuComplex* x, int incx, cuComplex* y, int incy); +void CUBLASWINAPI cublasZswap(int n, cuDoubleComplex* x, int incx, cuDoubleComplex* y, int incy); +/*------------------------------------------------------------------------*/ +/* AMAX */ +int CUBLASWINAPI cublasIsamax(int n, const float* x, int incx); +int CUBLASWINAPI cublasIdamax(int n, const double* x, int incx); +int CUBLASWINAPI cublasIcamax(int n, const cuComplex* x, int incx); +int CUBLASWINAPI cublasIzamax(int n, const cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* AMIN */ +int CUBLASWINAPI cublasIsamin(int n, const float* x, int incx); +int CUBLASWINAPI cublasIdamin(int n, const double* x, int incx); + +int CUBLASWINAPI cublasIcamin(int n, const cuComplex* x, int incx); +int CUBLASWINAPI cublasIzamin(int n, const cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* ASUM */ +float CUBLASWINAPI cublasSasum(int n, const float* x, int incx); +double CUBLASWINAPI cublasDasum(int n, const double* x, int incx); +float CUBLASWINAPI cublasScasum(int n, const cuComplex* x, int incx); +double CUBLASWINAPI cublasDzasum(int n, const cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* ROT */ +void CUBLASWINAPI cublasSrot(int n, float* x, int incx, float* y, int incy, float sc, float ss); +void CUBLASWINAPI cublasDrot(int n, double* x, int incx, double* y, int incy, double sc, double ss); +void CUBLASWINAPI cublasCrot(int n, cuComplex* x, int incx, cuComplex* y, int incy, float c, cuComplex s); +void CUBLASWINAPI +cublasZrot(int n, cuDoubleComplex* x, int incx, cuDoubleComplex* y, int incy, double sc, cuDoubleComplex cs); +void CUBLASWINAPI cublasCsrot(int n, cuComplex* x, int incx, cuComplex* y, int incy, float c, float s); +void CUBLASWINAPI cublasZdrot(int n, cuDoubleComplex* x, int incx, cuDoubleComplex* y, int incy, double c, double s); +/*------------------------------------------------------------------------*/ +/* ROTG */ +void CUBLASWINAPI cublasSrotg(float* sa, float* sb, float* sc, float* ss); +void CUBLASWINAPI cublasDrotg(double* sa, double* sb, double* sc, double* ss); +void CUBLASWINAPI cublasCrotg(cuComplex* ca, cuComplex cb, float* sc, cuComplex* cs); +void CUBLASWINAPI cublasZrotg(cuDoubleComplex* ca, cuDoubleComplex cb, double* sc, cuDoubleComplex* cs); +/*------------------------------------------------------------------------*/ +/* ROTM */ +void CUBLASWINAPI cublasSrotm(int n, float* x, int incx, float* y, int incy, const float* sparam); +void CUBLASWINAPI cublasDrotm(int n, double* x, int incx, double* y, int incy, const double* sparam); +/*------------------------------------------------------------------------*/ +/* ROTMG */ +void CUBLASWINAPI cublasSrotmg(float* sd1, float* sd2, float* sx1, const float* sy1, float* sparam); +void CUBLASWINAPI cublasDrotmg(double* sd1, double* sd2, double* sx1, const double* sy1, double* sparam); + +/* --------------- CUBLAS BLAS2 functions ---------------- */ +/* GEMV */ +void CUBLASWINAPI cublasSgemv(char trans, + int m, + int n, + float alpha, + const float* A, + int lda, + const float* x, + int incx, + float beta, + float* y, + int incy); +void CUBLASWINAPI cublasDgemv(char trans, + int m, + int n, + double alpha, + const double* A, + int lda, + const double* x, + int incx, + double beta, + double* y, + int incy); +void CUBLASWINAPI cublasCgemv(char trans, + int m, + int n, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + cuComplex beta, + cuComplex* y, + int incy); +void CUBLASWINAPI cublasZgemv(char trans, + int m, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex beta, + cuDoubleComplex* y, + int incy); +/*------------------------------------------------------------------------*/ +/* GBMV */ +void CUBLASWINAPI cublasSgbmv(char trans, + int m, + int n, + int kl, + int ku, + float alpha, + const float* A, + int lda, + const float* x, + int incx, + float beta, + float* y, + int incy); +void CUBLASWINAPI cublasDgbmv(char trans, + int m, + int n, + int kl, + int ku, + double alpha, + const double* A, + int lda, + const double* x, + int incx, + double beta, + double* y, + int incy); +void CUBLASWINAPI cublasCgbmv(char trans, + int m, + int n, + int kl, + int ku, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + cuComplex beta, + cuComplex* y, + int incy); +void CUBLASWINAPI cublasZgbmv(char trans, + int m, + int n, + int kl, + int ku, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex beta, + cuDoubleComplex* y, + int incy); +/*------------------------------------------------------------------------*/ +/* TRMV */ +void CUBLASWINAPI cublasStrmv(char uplo, char trans, char diag, int n, const float* A, int lda, float* x, int incx); +void CUBLASWINAPI cublasDtrmv(char uplo, char trans, char diag, int n, const double* A, int lda, double* x, int incx); +void CUBLASWINAPI +cublasCtrmv(char uplo, char trans, char diag, int n, const cuComplex* A, int lda, cuComplex* x, int incx); +void CUBLASWINAPI +cublasZtrmv(char uplo, char trans, char diag, int n, const cuDoubleComplex* A, int lda, cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* TBMV */ +void CUBLASWINAPI +cublasStbmv(char uplo, char trans, char diag, int n, int k, const float* A, int lda, float* x, int incx); +void CUBLASWINAPI +cublasDtbmv(char uplo, char trans, char diag, int n, int k, const double* A, int lda, double* x, int incx); +void CUBLASWINAPI +cublasCtbmv(char uplo, char trans, char diag, int n, int k, const cuComplex* A, int lda, cuComplex* x, int incx); +void CUBLASWINAPI cublasZtbmv( + char uplo, char trans, char diag, int n, int k, const cuDoubleComplex* A, int lda, cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* TPMV */ +void CUBLASWINAPI cublasStpmv(char uplo, char trans, char diag, int n, const float* AP, float* x, int incx); + +void CUBLASWINAPI cublasDtpmv(char uplo, char trans, char diag, int n, const double* AP, double* x, int incx); + +void CUBLASWINAPI cublasCtpmv(char uplo, char trans, char diag, int n, const cuComplex* AP, cuComplex* x, int incx); + +void CUBLASWINAPI +cublasZtpmv(char uplo, char trans, char diag, int n, const cuDoubleComplex* AP, cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* TRSV */ +void CUBLASWINAPI cublasStrsv(char uplo, char trans, char diag, int n, const float* A, int lda, float* x, int incx); + +void CUBLASWINAPI cublasDtrsv(char uplo, char trans, char diag, int n, const double* A, int lda, double* x, int incx); + +void CUBLASWINAPI +cublasCtrsv(char uplo, char trans, char diag, int n, const cuComplex* A, int lda, cuComplex* x, int incx); + +void CUBLASWINAPI +cublasZtrsv(char uplo, char trans, char diag, int n, const cuDoubleComplex* A, int lda, cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* TPSV */ +void CUBLASWINAPI cublasStpsv(char uplo, char trans, char diag, int n, const float* AP, float* x, int incx); + +void CUBLASWINAPI cublasDtpsv(char uplo, char trans, char diag, int n, const double* AP, double* x, int incx); + +void CUBLASWINAPI cublasCtpsv(char uplo, char trans, char diag, int n, const cuComplex* AP, cuComplex* x, int incx); + +void CUBLASWINAPI +cublasZtpsv(char uplo, char trans, char diag, int n, const cuDoubleComplex* AP, cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* TBSV */ +void CUBLASWINAPI +cublasStbsv(char uplo, char trans, char diag, int n, int k, const float* A, int lda, float* x, int incx); + +void CUBLASWINAPI +cublasDtbsv(char uplo, char trans, char diag, int n, int k, const double* A, int lda, double* x, int incx); +void CUBLASWINAPI +cublasCtbsv(char uplo, char trans, char diag, int n, int k, const cuComplex* A, int lda, cuComplex* x, int incx); + +void CUBLASWINAPI cublasZtbsv( + char uplo, char trans, char diag, int n, int k, const cuDoubleComplex* A, int lda, cuDoubleComplex* x, int incx); +/*------------------------------------------------------------------------*/ +/* SYMV/HEMV */ +void CUBLASWINAPI cublasSsymv( + char uplo, int n, float alpha, const float* A, int lda, const float* x, int incx, float beta, float* y, int incy); +void CUBLASWINAPI cublasDsymv(char uplo, + int n, + double alpha, + const double* A, + int lda, + const double* x, + int incx, + double beta, + double* y, + int incy); +void CUBLASWINAPI cublasChemv(char uplo, + int n, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + cuComplex beta, + cuComplex* y, + int incy); +void CUBLASWINAPI cublasZhemv(char uplo, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex beta, + cuDoubleComplex* y, + int incy); +/*------------------------------------------------------------------------*/ +/* SBMV/HBMV */ +void CUBLASWINAPI cublasSsbmv(char uplo, + int n, + int k, + float alpha, + const float* A, + int lda, + const float* x, + int incx, + float beta, + float* y, + int incy); +void CUBLASWINAPI cublasDsbmv(char uplo, + int n, + int k, + double alpha, + const double* A, + int lda, + const double* x, + int incx, + double beta, + double* y, + int incy); +void CUBLASWINAPI cublasChbmv(char uplo, + int n, + int k, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + cuComplex beta, + cuComplex* y, + int incy); +void CUBLASWINAPI cublasZhbmv(char uplo, + int n, + int k, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex beta, + cuDoubleComplex* y, + int incy); +/*------------------------------------------------------------------------*/ +/* SPMV/HPMV */ +void CUBLASWINAPI +cublasSspmv(char uplo, int n, float alpha, const float* AP, const float* x, int incx, float beta, float* y, int incy); +void CUBLASWINAPI cublasDspmv( + char uplo, int n, double alpha, const double* AP, const double* x, int incx, double beta, double* y, int incy); +void CUBLASWINAPI cublasChpmv(char uplo, + int n, + cuComplex alpha, + const cuComplex* AP, + const cuComplex* x, + int incx, + cuComplex beta, + cuComplex* y, + int incy); +void CUBLASWINAPI cublasZhpmv(char uplo, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* AP, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex beta, + cuDoubleComplex* y, + int incy); + +/*------------------------------------------------------------------------*/ +/* GER */ +void CUBLASWINAPI +cublasSger(int m, int n, float alpha, const float* x, int incx, const float* y, int incy, float* A, int lda); +void CUBLASWINAPI +cublasDger(int m, int n, double alpha, const double* x, int incx, const double* y, int incy, double* A, int lda); + +void CUBLASWINAPI cublasCgeru( + int m, int n, cuComplex alpha, const cuComplex* x, int incx, const cuComplex* y, int incy, cuComplex* A, int lda); +void CUBLASWINAPI cublasCgerc( + int m, int n, cuComplex alpha, const cuComplex* x, int incx, const cuComplex* y, int incy, cuComplex* A, int lda); +void CUBLASWINAPI cublasZgeru(int m, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* A, + int lda); +void CUBLASWINAPI cublasZgerc(int m, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* A, + int lda); +/*------------------------------------------------------------------------*/ +/* SYR/HER */ +void CUBLASWINAPI cublasSsyr(char uplo, int n, float alpha, const float* x, int incx, float* A, int lda); +void CUBLASWINAPI cublasDsyr(char uplo, int n, double alpha, const double* x, int incx, double* A, int lda); + +void CUBLASWINAPI cublasCher(char uplo, int n, float alpha, const cuComplex* x, int incx, cuComplex* A, int lda); +void CUBLASWINAPI +cublasZher(char uplo, int n, double alpha, const cuDoubleComplex* x, int incx, cuDoubleComplex* A, int lda); + +/*------------------------------------------------------------------------*/ +/* SPR/HPR */ +void CUBLASWINAPI cublasSspr(char uplo, int n, float alpha, const float* x, int incx, float* AP); +void CUBLASWINAPI cublasDspr(char uplo, int n, double alpha, const double* x, int incx, double* AP); +void CUBLASWINAPI cublasChpr(char uplo, int n, float alpha, const cuComplex* x, int incx, cuComplex* AP); +void CUBLASWINAPI cublasZhpr(char uplo, int n, double alpha, const cuDoubleComplex* x, int incx, cuDoubleComplex* AP); +/*------------------------------------------------------------------------*/ +/* SYR2/HER2 */ +void CUBLASWINAPI +cublasSsyr2(char uplo, int n, float alpha, const float* x, int incx, const float* y, int incy, float* A, int lda); +void CUBLASWINAPI +cublasDsyr2(char uplo, int n, double alpha, const double* x, int incx, const double* y, int incy, double* A, int lda); +void CUBLASWINAPI cublasCher2(char uplo, + int n, + cuComplex alpha, + const cuComplex* x, + int incx, + const cuComplex* y, + int incy, + cuComplex* A, + int lda); +void CUBLASWINAPI cublasZher2(char uplo, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* A, + int lda); + +/*------------------------------------------------------------------------*/ +/* SPR2/HPR2 */ +void CUBLASWINAPI +cublasSspr2(char uplo, int n, float alpha, const float* x, int incx, const float* y, int incy, float* AP); +void CUBLASWINAPI +cublasDspr2(char uplo, int n, double alpha, const double* x, int incx, const double* y, int incy, double* AP); +void CUBLASWINAPI cublasChpr2( + char uplo, int n, cuComplex alpha, const cuComplex* x, int incx, const cuComplex* y, int incy, cuComplex* AP); +void CUBLASWINAPI cublasZhpr2(char uplo, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* AP); +/* ------------------------BLAS3 Functions ------------------------------- */ +/* GEMM */ +void CUBLASWINAPI cublasSgemm(char transa, + char transb, + int m, + int n, + int k, + float alpha, + const float* A, + int lda, + const float* B, + int ldb, + float beta, + float* C, + int ldc); +void CUBLASWINAPI cublasDgemm(char transa, + char transb, + int m, + int n, + int k, + double alpha, + const double* A, + int lda, + const double* B, + int ldb, + double beta, + double* C, + int ldc); +void CUBLASWINAPI cublasCgemm(char transa, + char transb, + int m, + int n, + int k, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + cuComplex beta, + cuComplex* C, + int ldc); +void CUBLASWINAPI cublasZgemm(char transa, + char transb, + int m, + int n, + int k, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + cuDoubleComplex beta, + cuDoubleComplex* C, + int ldc); +/* -------------------------------------------------------*/ +/* SYRK */ +void CUBLASWINAPI +cublasSsyrk(char uplo, char trans, int n, int k, float alpha, const float* A, int lda, float beta, float* C, int ldc); +void CUBLASWINAPI cublasDsyrk( + char uplo, char trans, int n, int k, double alpha, const double* A, int lda, double beta, double* C, int ldc); + +void CUBLASWINAPI cublasCsyrk(char uplo, + char trans, + int n, + int k, + cuComplex alpha, + const cuComplex* A, + int lda, + cuComplex beta, + cuComplex* C, + int ldc); +void CUBLASWINAPI cublasZsyrk(char uplo, + char trans, + int n, + int k, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex beta, + cuDoubleComplex* C, + int ldc); +/* ------------------------------------------------------- */ +/* HERK */ +void CUBLASWINAPI cublasCherk( + char uplo, char trans, int n, int k, float alpha, const cuComplex* A, int lda, float beta, cuComplex* C, int ldc); +void CUBLASWINAPI cublasZherk(char uplo, + char trans, + int n, + int k, + double alpha, + const cuDoubleComplex* A, + int lda, + double beta, + cuDoubleComplex* C, + int ldc); +/* ------------------------------------------------------- */ +/* SYR2K */ +void CUBLASWINAPI cublasSsyr2k(char uplo, + char trans, + int n, + int k, + float alpha, + const float* A, + int lda, + const float* B, + int ldb, + float beta, + float* C, + int ldc); + +void CUBLASWINAPI cublasDsyr2k(char uplo, + char trans, + int n, + int k, + double alpha, + const double* A, + int lda, + const double* B, + int ldb, + double beta, + double* C, + int ldc); +void CUBLASWINAPI cublasCsyr2k(char uplo, + char trans, + int n, + int k, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + cuComplex beta, + cuComplex* C, + int ldc); + +void CUBLASWINAPI cublasZsyr2k(char uplo, + char trans, + int n, + int k, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + cuDoubleComplex beta, + cuDoubleComplex* C, + int ldc); +/* ------------------------------------------------------- */ +/* HER2K */ +void CUBLASWINAPI cublasCher2k(char uplo, + char trans, + int n, + int k, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + float beta, + cuComplex* C, + int ldc); + +void CUBLASWINAPI cublasZher2k(char uplo, + char trans, + int n, + int k, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + double beta, + cuDoubleComplex* C, + int ldc); + +/*------------------------------------------------------------------------*/ +/* SYMM*/ +void CUBLASWINAPI cublasSsymm(char side, + char uplo, + int m, + int n, + float alpha, + const float* A, + int lda, + const float* B, + int ldb, + float beta, + float* C, + int ldc); +void CUBLASWINAPI cublasDsymm(char side, + char uplo, + int m, + int n, + double alpha, + const double* A, + int lda, + const double* B, + int ldb, + double beta, + double* C, + int ldc); + +void CUBLASWINAPI cublasCsymm(char side, + char uplo, + int m, + int n, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + cuComplex beta, + cuComplex* C, + int ldc); + +void CUBLASWINAPI cublasZsymm(char side, + char uplo, + int m, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + cuDoubleComplex beta, + cuDoubleComplex* C, + int ldc); +/*------------------------------------------------------------------------*/ +/* HEMM*/ +void CUBLASWINAPI cublasChemm(char side, + char uplo, + int m, + int n, + cuComplex alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + cuComplex beta, + cuComplex* C, + int ldc); +void CUBLASWINAPI cublasZhemm(char side, + char uplo, + int m, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + cuDoubleComplex beta, + cuDoubleComplex* C, + int ldc); + +/*------------------------------------------------------------------------*/ +/* TRSM*/ +void CUBLASWINAPI cublasStrsm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + float alpha, + const float* A, + int lda, + float* B, + int ldb); + +void CUBLASWINAPI cublasDtrsm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + double alpha, + const double* A, + int lda, + double* B, + int ldb); + +void CUBLASWINAPI cublasCtrsm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + cuComplex alpha, + const cuComplex* A, + int lda, + cuComplex* B, + int ldb); + +void CUBLASWINAPI cublasZtrsm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex* B, + int ldb); +/*------------------------------------------------------------------------*/ +/* TRMM*/ +void CUBLASWINAPI cublasStrmm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + float alpha, + const float* A, + int lda, + float* B, + int ldb); +void CUBLASWINAPI cublasDtrmm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + double alpha, + const double* A, + int lda, + double* B, + int ldb); +void CUBLASWINAPI cublasCtrmm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + cuComplex alpha, + const cuComplex* A, + int lda, + cuComplex* B, + int ldb); +void CUBLASWINAPI cublasZtrmm(char side, + char uplo, + char transa, + char diag, + int m, + int n, + cuDoubleComplex alpha, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex* B, + int ldb); + +#if defined(__cplusplus) +} +#endif /* __cplusplus */ + +#endif /* !defined(CUBLAS_H_) */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublasLt.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublasLt.h new file mode 100644 index 0000000000000000000000000000000000000000..ffe628de2ca547186be8667120131b07d51757d2 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublasLt.h @@ -0,0 +1,1815 @@ +/* + * Copyright 1993-2022 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ +#pragma once + +#ifndef CUBLASAPI +#ifdef __CUDACC__ +#define CUBLASAPI __host__ __device__ +#else +#define CUBLASAPI +#endif +#endif + +#include + +#include +#include +#include + +#if defined(__cplusplus) +extern "C" { +#endif /* __cplusplus */ + +/** Opaque structure holding CUBLASLT context + */ +typedef struct cublasLtContext* cublasLtHandle_t; + +cublasStatus_t CUBLASWINAPI cublasLtCreate(cublasLtHandle_t* lightHandle); + +cublasStatus_t CUBLASWINAPI cublasLtDestroy(cublasLtHandle_t lightHandle); + +const char* CUBLASWINAPI cublasLtGetStatusName(cublasStatus_t status); + +const char* CUBLASWINAPI cublasLtGetStatusString(cublasStatus_t status); + +size_t CUBLASWINAPI cublasLtGetVersion(void); + +size_t CUBLASWINAPI cublasLtGetCudartVersion(void); + +cublasStatus_t CUBLASWINAPI cublasLtGetProperty(libraryPropertyType type, int* value); + +cublasStatus_t CUBLASWINAPI cublasLtHeuristicsCacheGetCapacity(size_t* capacity); +cublasStatus_t CUBLASWINAPI cublasLtHeuristicsCacheSetCapacity(size_t capacity); + +/** Restricts usage of CPU instructions (ISA) specified by the flags in the mask. + * + * Flags can be combined with bitwise OR(|) operator. Supported flags: + * - 0x1 -- x86-64 AVX512 ISA + * + * Default mask: 0 (any applicable ISA is allowed). + * + * The function returns the previous value of the mask. + * The function takes precedence over the environment variable CUBLASLT_DISABLE_CPU_INSTRUCTIONS_MASK. + */ +unsigned CUBLASWINAPI cublasLtDisableCpuInstructionsSetMask(unsigned mask); + +/** Semi-opaque descriptor for matrix memory layout + */ +typedef struct { + uint64_t data[8]; +} cublasLtMatrixLayoutOpaque_t; + +/** Opaque descriptor for matrix memory layout + */ +typedef cublasLtMatrixLayoutOpaque_t* cublasLtMatrixLayout_t; + +/** Semi-opaque algorithm descriptor (to avoid complicated alloc/free schemes) + * + * This structure can be trivially serialized and later restored for use with the same version of cuBLAS library to save + * on selecting the right configuration again. + */ +typedef struct { + uint64_t data[8]; +} cublasLtMatmulAlgo_t; + +/** Semi-opaque descriptor for cublasLtMatmul() operation details + */ +typedef struct { + uint64_t data[23]; +} cublasLtMatmulDescOpaque_t; + +/** Opaque descriptor for cublasLtMatmul() operation details + */ +typedef cublasLtMatmulDescOpaque_t* cublasLtMatmulDesc_t; + +/** Semi-opaque descriptor for cublasLtMatrixTransform() operation details + */ +typedef struct { + uint64_t data[8]; +} cublasLtMatrixTransformDescOpaque_t; + +/** Opaque descriptor for cublasLtMatrixTransform() operation details + */ +typedef cublasLtMatrixTransformDescOpaque_t* cublasLtMatrixTransformDesc_t; + +/** Semi-opaque descriptor for cublasLtMatmulPreference() operation details + */ +typedef struct { + uint64_t data[8]; +} cublasLtMatmulPreferenceOpaque_t; + +/** Opaque descriptor for cublasLtMatmulAlgoGetHeuristic() configuration + */ +typedef cublasLtMatmulPreferenceOpaque_t* cublasLtMatmulPreference_t; + +/** Tile size (in C/D matrix Rows x Cols) + * + * General order of tile IDs is sorted by size first and by first dimension second. + */ +typedef enum { + CUBLASLT_MATMUL_TILE_UNDEFINED = 0, + CUBLASLT_MATMUL_TILE_8x8 = 1, + CUBLASLT_MATMUL_TILE_8x16 = 2, + CUBLASLT_MATMUL_TILE_16x8 = 3, + CUBLASLT_MATMUL_TILE_8x32 = 4, + CUBLASLT_MATMUL_TILE_16x16 = 5, + CUBLASLT_MATMUL_TILE_32x8 = 6, + CUBLASLT_MATMUL_TILE_8x64 = 7, + CUBLASLT_MATMUL_TILE_16x32 = 8, + CUBLASLT_MATMUL_TILE_32x16 = 9, + CUBLASLT_MATMUL_TILE_64x8 = 10, + CUBLASLT_MATMUL_TILE_32x32 = 11, + CUBLASLT_MATMUL_TILE_32x64 = 12, + CUBLASLT_MATMUL_TILE_64x32 = 13, + CUBLASLT_MATMUL_TILE_32x128 = 14, + CUBLASLT_MATMUL_TILE_64x64 = 15, + CUBLASLT_MATMUL_TILE_128x32 = 16, + CUBLASLT_MATMUL_TILE_64x128 = 17, + CUBLASLT_MATMUL_TILE_128x64 = 18, + CUBLASLT_MATMUL_TILE_64x256 = 19, + CUBLASLT_MATMUL_TILE_128x128 = 20, + CUBLASLT_MATMUL_TILE_256x64 = 21, + CUBLASLT_MATMUL_TILE_64x512 = 22, + CUBLASLT_MATMUL_TILE_128x256 = 23, + CUBLASLT_MATMUL_TILE_256x128 = 24, + CUBLASLT_MATMUL_TILE_512x64 = 25, + CUBLASLT_MATMUL_TILE_64x96 = 26, + CUBLASLT_MATMUL_TILE_96x64 = 27, + CUBLASLT_MATMUL_TILE_96x128 = 28, + CUBLASLT_MATMUL_TILE_128x160 = 29, + CUBLASLT_MATMUL_TILE_160x128 = 30, + CUBLASLT_MATMUL_TILE_192x128 = 31, + CUBLASLT_MATMUL_TILE_128x192 = 32, + CUBLASLT_MATMUL_TILE_128x96 = 33, + CUBLASLT_MATMUL_TILE_32x256 = 34, + CUBLASLT_MATMUL_TILE_256x32 = 35, + CUBLASLT_MATMUL_TILE_END +} cublasLtMatmulTile_t; + +/** Size and number of stages in which elements are read into shared memory + * + * General order of stages IDs is sorted by stage size first and by number of stages second. + */ +typedef enum { + CUBLASLT_MATMUL_STAGES_UNDEFINED = 0, + CUBLASLT_MATMUL_STAGES_16x1 = 1, + CUBLASLT_MATMUL_STAGES_16x2 = 2, + CUBLASLT_MATMUL_STAGES_16x3 = 3, + CUBLASLT_MATMUL_STAGES_16x4 = 4, + CUBLASLT_MATMUL_STAGES_16x5 = 5, + CUBLASLT_MATMUL_STAGES_16x6 = 6, + CUBLASLT_MATMUL_STAGES_32x1 = 7, + CUBLASLT_MATMUL_STAGES_32x2 = 8, + CUBLASLT_MATMUL_STAGES_32x3 = 9, + CUBLASLT_MATMUL_STAGES_32x4 = 10, + CUBLASLT_MATMUL_STAGES_32x5 = 11, + CUBLASLT_MATMUL_STAGES_32x6 = 12, + CUBLASLT_MATMUL_STAGES_64x1 = 13, + CUBLASLT_MATMUL_STAGES_64x2 = 14, + CUBLASLT_MATMUL_STAGES_64x3 = 15, + CUBLASLT_MATMUL_STAGES_64x4 = 16, + CUBLASLT_MATMUL_STAGES_64x5 = 17, + CUBLASLT_MATMUL_STAGES_64x6 = 18, + CUBLASLT_MATMUL_STAGES_128x1 = 19, + CUBLASLT_MATMUL_STAGES_128x2 = 20, + CUBLASLT_MATMUL_STAGES_128x3 = 21, + CUBLASLT_MATMUL_STAGES_128x4 = 22, + CUBLASLT_MATMUL_STAGES_128x5 = 23, + CUBLASLT_MATMUL_STAGES_128x6 = 24, + CUBLASLT_MATMUL_STAGES_32x10 = 25, + CUBLASLT_MATMUL_STAGES_8x4 = 26, + CUBLASLT_MATMUL_STAGES_16x10 = 27, + CUBLASLT_MATMUL_STAGES_8x5 = 28, + CUBLASLT_MATMUL_STAGES_8x3 = 31, + CUBLASLT_MATMUL_STAGES_8xAUTO = 32, + CUBLASLT_MATMUL_STAGES_16xAUTO = 33, + CUBLASLT_MATMUL_STAGES_32xAUTO = 34, + CUBLASLT_MATMUL_STAGES_64xAUTO = 35, + CUBLASLT_MATMUL_STAGES_128xAUTO = 36, + CUBLASLT_MATMUL_STAGES_END +} cublasLtMatmulStages_t; + +/** Thread Block Cluster size + * + * Typically dimensioned similar to cublasLtMatmulTile_t, with the third coordinate unused at this time. + */ +typedef enum { + /** Let library pick cluster shape automatically */ + CUBLASLT_CLUSTER_SHAPE_AUTO = 0, + CUBLASLT_CLUSTER_SHAPE_1x1x1 = 2, + CUBLASLT_CLUSTER_SHAPE_2x1x1 = 3, + CUBLASLT_CLUSTER_SHAPE_4x1x1 = 4, + CUBLASLT_CLUSTER_SHAPE_1x2x1 = 5, + CUBLASLT_CLUSTER_SHAPE_2x2x1 = 6, + CUBLASLT_CLUSTER_SHAPE_4x2x1 = 7, + CUBLASLT_CLUSTER_SHAPE_1x4x1 = 8, + CUBLASLT_CLUSTER_SHAPE_2x4x1 = 9, + CUBLASLT_CLUSTER_SHAPE_4x4x1 = 10, + CUBLASLT_CLUSTER_SHAPE_8x1x1 = 11, + CUBLASLT_CLUSTER_SHAPE_1x8x1 = 12, + CUBLASLT_CLUSTER_SHAPE_8x2x1 = 13, + CUBLASLT_CLUSTER_SHAPE_2x8x1 = 14, + CUBLASLT_CLUSTER_SHAPE_16x1x1 = 15, + CUBLASLT_CLUSTER_SHAPE_1x16x1 = 16, + CUBLASLT_CLUSTER_SHAPE_3x1x1 = 17, + CUBLASLT_CLUSTER_SHAPE_5x1x1 = 18, + CUBLASLT_CLUSTER_SHAPE_6x1x1 = 19, + CUBLASLT_CLUSTER_SHAPE_7x1x1 = 20, + CUBLASLT_CLUSTER_SHAPE_9x1x1 = 21, + CUBLASLT_CLUSTER_SHAPE_10x1x1 = 22, + CUBLASLT_CLUSTER_SHAPE_11x1x1 = 23, + CUBLASLT_CLUSTER_SHAPE_12x1x1 = 24, + CUBLASLT_CLUSTER_SHAPE_13x1x1 = 25, + CUBLASLT_CLUSTER_SHAPE_14x1x1 = 26, + CUBLASLT_CLUSTER_SHAPE_15x1x1 = 27, + CUBLASLT_CLUSTER_SHAPE_3x2x1 = 28, + CUBLASLT_CLUSTER_SHAPE_5x2x1 = 29, + CUBLASLT_CLUSTER_SHAPE_6x2x1 = 30, + CUBLASLT_CLUSTER_SHAPE_7x2x1 = 31, + CUBLASLT_CLUSTER_SHAPE_1x3x1 = 32, + CUBLASLT_CLUSTER_SHAPE_2x3x1 = 33, + CUBLASLT_CLUSTER_SHAPE_3x3x1 = 34, + CUBLASLT_CLUSTER_SHAPE_4x3x1 = 35, + CUBLASLT_CLUSTER_SHAPE_5x3x1 = 36, + CUBLASLT_CLUSTER_SHAPE_3x4x1 = 37, + CUBLASLT_CLUSTER_SHAPE_1x5x1 = 38, + CUBLASLT_CLUSTER_SHAPE_2x5x1 = 39, + CUBLASLT_CLUSTER_SHAPE_3x5x1 = 40, + CUBLASLT_CLUSTER_SHAPE_1x6x1 = 41, + CUBLASLT_CLUSTER_SHAPE_2x6x1 = 42, + CUBLASLT_CLUSTER_SHAPE_1x7x1 = 43, + CUBLASLT_CLUSTER_SHAPE_2x7x1 = 44, + CUBLASLT_CLUSTER_SHAPE_1x9x1 = 45, + CUBLASLT_CLUSTER_SHAPE_1x10x1 = 46, + CUBLASLT_CLUSTER_SHAPE_1x11x1 = 47, + CUBLASLT_CLUSTER_SHAPE_1x12x1 = 48, + CUBLASLT_CLUSTER_SHAPE_1x13x1 = 49, + CUBLASLT_CLUSTER_SHAPE_1x14x1 = 50, + CUBLASLT_CLUSTER_SHAPE_1x15x1 = 51, + CUBLASLT_CLUSTER_SHAPE_END +} cublasLtClusterShape_t; + +/** Inner size of the kernel + * + * Represents various aspects of internal kernel design, that don't impact CUDA grid size but may have other more subtle + * effects. + * + */ +typedef enum { + CUBLASLT_MATMUL_INNER_SHAPE_UNDEFINED = 0, + CUBLASLT_MATMUL_INNER_SHAPE_MMA884 = 1, + CUBLASLT_MATMUL_INNER_SHAPE_MMA1684 = 2, + CUBLASLT_MATMUL_INNER_SHAPE_MMA1688 = 3, + CUBLASLT_MATMUL_INNER_SHAPE_MMA16816 = 4, + CUBLASLT_MATMUL_INNER_SHAPE_END +} cublasLtMatmulInnerShape_t; + +/** Pointer mode to use for alpha/beta */ +typedef enum { + /** matches CUBLAS_POINTER_MODE_HOST, pointer targets a single value host memory */ + CUBLASLT_POINTER_MODE_HOST = CUBLAS_POINTER_MODE_HOST, + /** matches CUBLAS_POINTER_MODE_DEVICE, pointer targets a single value device memory */ + CUBLASLT_POINTER_MODE_DEVICE = CUBLAS_POINTER_MODE_DEVICE, + /** pointer targets an array in device memory */ + CUBLASLT_POINTER_MODE_DEVICE_VECTOR = 2, + /** alpha pointer targets an array in device memory, beta is zero. Note: + CUBLASLT_MATMUL_DESC_ALPHA_VECTOR_BATCH_STRIDE is not supported, must be 0. */ + CUBLASLT_POINTER_MODE_ALPHA_DEVICE_VECTOR_BETA_ZERO = 3, + /** alpha pointer targets an array in device memory, beta is a single value in host memory. */ + CUBLASLT_POINTER_MODE_ALPHA_DEVICE_VECTOR_BETA_HOST = 4, +} cublasLtPointerMode_t; + +/** Mask to define pointer mode capability */ +typedef enum { + /** see CUBLASLT_POINTER_MODE_HOST */ + CUBLASLT_POINTER_MODE_MASK_HOST = 1, + /** see CUBLASLT_POINTER_MODE_DEVICE */ + CUBLASLT_POINTER_MODE_MASK_DEVICE = 2, + /** see CUBLASLT_POINTER_MODE_DEVICE_VECTOR */ + CUBLASLT_POINTER_MODE_MASK_DEVICE_VECTOR = 4, + /** see CUBLASLT_POINTER_MODE_ALPHA_DEVICE_VECTOR_BETA_ZERO */ + CUBLASLT_POINTER_MODE_MASK_ALPHA_DEVICE_VECTOR_BETA_ZERO = 8, + /** see CUBLASLT_POINTER_MODE_ALPHA_DEVICE_VECTOR_BETA_HOST */ + CUBLASLT_POINTER_MODE_MASK_ALPHA_DEVICE_VECTOR_BETA_HOST = 16, +} cublasLtPointerModeMask_t; + +/** Implementation details that may affect numerical behavior of algorithms. */ +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_FMA (0x01ull << 0) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_HMMA (0x02ull << 0) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_IMMA (0x04ull << 0) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_DMMA (0x08ull << 0) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_TENSOR_OP_MASK (0xfeull << 0) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_OP_TYPE_MASK (0xffull << 0) + +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_ACCUMULATOR_16F (0x01ull << 8) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_ACCUMULATOR_32F (0x02ull << 8) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_ACCUMULATOR_64F (0x04ull << 8) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_ACCUMULATOR_32I (0x08ull << 8) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_ACCUMULATOR_TYPE_MASK (0xffull << 8) + +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_16F (0x01ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_16BF (0x02ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_TF32 (0x04ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_32F (0x08ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_64F (0x10ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_8I (0x20ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_8F_E4M3 (0x40ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_INPUT_8F_E5M2 (0x80ull << 16) +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_OP_INPUT_TYPE_MASK (0xffull << 16) + +#define CUBLASLT_NUMERICAL_IMPL_FLAGS_GAUSSIAN (0x01ull << 32) +typedef uint64_t cublasLtNumericalImplFlags_t; + +/** Execute matrix multiplication (D = alpha * op(A) * op(B) + beta * C). + * + * \retval CUBLAS_STATUS_NOT_INITIALIZED if cuBLASLt handle has not been initialized + * \retval CUBLAS_STATUS_INVALID_VALUE if parameters are in conflict or in an impossible configuration; e.g. + * when workspaceSizeInBytes is less than workspace required by configured + * algo + * \retval CUBLAS_STATUS_NOT_SUPPORTED if current implementation on selected device doesn't support configured + * operation + * \retval CUBLAS_STATUS_ARCH_MISMATCH if configured operation cannot be run using selected device + * \retval CUBLAS_STATUS_EXECUTION_FAILED if cuda reported execution error from the device + * \retval CUBLAS_STATUS_SUCCESS if the operation completed successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmul(cublasLtHandle_t lightHandle, + cublasLtMatmulDesc_t computeDesc, + const void* alpha, /* host or device pointer */ + const void* A, + cublasLtMatrixLayout_t Adesc, + const void* B, + cublasLtMatrixLayout_t Bdesc, + const void* beta, /* host or device pointer */ + const void* C, + cublasLtMatrixLayout_t Cdesc, + void* D, + cublasLtMatrixLayout_t Ddesc, + const cublasLtMatmulAlgo_t* algo, + void* workspace, + size_t workspaceSizeInBytes, + cudaStream_t stream); + +/** Matrix layout conversion helper (C = alpha * op(A) + beta * op(B)) + * + * Can be used to change memory order of data or to scale and shift the values. + * + * \retval CUBLAS_STATUS_NOT_INITIALIZED if cuBLASLt handle has not been initialized + * \retval CUBLAS_STATUS_INVALID_VALUE if parameters are in conflict or in an impossible configuration; e.g. + * when A is not NULL, but Adesc is NULL + * \retval CUBLAS_STATUS_NOT_SUPPORTED if current implementation on selected device doesn't support configured + * operation + * \retval CUBLAS_STATUS_ARCH_MISMATCH if configured operation cannot be run using selected device + * \retval CUBLAS_STATUS_EXECUTION_FAILED if cuda reported execution error from the device + * \retval CUBLAS_STATUS_SUCCESS if the operation completed successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixTransform(cublasLtHandle_t lightHandle, + cublasLtMatrixTransformDesc_t transformDesc, + const void* alpha, /* host or device pointer */ + const void* A, + cublasLtMatrixLayout_t Adesc, + const void* beta, /* host or device pointer */ + const void* B, + cublasLtMatrixLayout_t Bdesc, + void* C, + cublasLtMatrixLayout_t Cdesc, + cudaStream_t stream); + +/* ---------------------------------------------------------------------------------------*/ +/* Helper functions for cublasLtMatrixLayout_t */ +/* ---------------------------------------------------------------------------------------*/ + +/** Enum for data ordering */ +typedef enum { + /** Column-major + * + * Leading dimension is the stride (in elements) to the beginning of next column in memory. + */ + CUBLASLT_ORDER_COL = 0, + /** Row major + * + * Leading dimension is the stride (in elements) to the beginning of next row in memory. + */ + CUBLASLT_ORDER_ROW = 1, + /** Column-major ordered tiles of 32 columns. + * + * Leading dimension is the stride (in elements) to the beginning of next group of 32-columns. E.g. if matrix has 33 + * columns and 2 rows, ld must be at least (32) * 2 = 64. + */ + CUBLASLT_ORDER_COL32 = 2, + /** Column-major ordered tiles of composite tiles with total 32 columns and 8 rows, tile composed of interleaved + * inner tiles of 4 columns within 4 even or odd rows in an alternating pattern. + * + * Leading dimension is the stride (in elements) to the beginning of the first 32 column x 8 row tile for the next + * 32-wide group of columns. E.g. if matrix has 33 columns and 1 row, ld must be at least (32 * 8) * 1 = 256. + */ + CUBLASLT_ORDER_COL4_4R2_8C = 3, + /** Column-major ordered tiles of composite tiles with total 32 columns ands 32 rows. + * Element offset within the tile is calculated as (((row%8)/2*4+row/8)*2+row%2)*32+col. + * + * Leading dimension is the stride (in elements) to the beginning of the first 32 column x 32 row tile for the next + * 32-wide group of columns. E.g. if matrix has 33 columns and 1 row, ld must be at least (32*32)*1 = 1024. + */ + CUBLASLT_ORDER_COL32_2R_4R4 = 4, + +} cublasLtOrder_t; + +/** Attributes of memory layout */ +typedef enum { + /** Data type, see cudaDataType. + * + * uint32_t + */ + CUBLASLT_MATRIX_LAYOUT_TYPE = 0, + + /** Memory order of the data, see cublasLtOrder_t. + * + * int32_t, default: CUBLASLT_ORDER_COL + */ + CUBLASLT_MATRIX_LAYOUT_ORDER = 1, + + /** Number of rows. + * + * Usually only values that can be expressed as int32_t are supported. + * + * uint64_t + */ + CUBLASLT_MATRIX_LAYOUT_ROWS = 2, + + /** Number of columns. + * + * Usually only values that can be expressed as int32_t are supported. + * + * uint64_t + */ + CUBLASLT_MATRIX_LAYOUT_COLS = 3, + + /** Matrix leading dimension. + * + * For CUBLASLT_ORDER_COL this is stride (in elements) of matrix column, for more details and documentation for + * other memory orders see documentation for cublasLtOrder_t values. + * + * Currently only non-negative values are supported, must be large enough so that matrix memory locations are not + * overlapping (e.g. greater or equal to CUBLASLT_MATRIX_LAYOUT_ROWS in case of CUBLASLT_ORDER_COL). + * + * int64_t; + */ + CUBLASLT_MATRIX_LAYOUT_LD = 4, + + /** Number of matmul operations to perform in the batch. + * + * See also CUBLASLT_ALGO_CAP_STRIDED_BATCH_SUPPORT + * + * int32_t, default: 1 + */ + CUBLASLT_MATRIX_LAYOUT_BATCH_COUNT = 5, + + /** Stride (in elements) to the next matrix for strided batch operation. + * + * When matrix type is planar-complex (CUBLASLT_MATRIX_LAYOUT_PLANE_OFFSET != 0), batch stride + * is interpreted by cublasLtMatmul() in number of real valued sub-elements. E.g. for data of type CUDA_C_16F, + * offset of 1024B is encoded as a stride of value 512 (since each element of the real and imaginary matrices + * is a 2B (16bit) floating point type). + * + * NOTE: A bug in cublasLtMatrixTransform() causes it to interpret the batch stride for a planar-complex matrix + * as if it was specified in number of complex elements. Therefore an offset of 1024B must be encoded as stride + * value 256 when calling cublasLtMatrixTransform() (each complex element is 4B with real and imaginary values 2B + * each). This behavior is expected to be corrected in the next major cuBLAS version. + * + * int64_t, default: 0 + */ + CUBLASLT_MATRIX_LAYOUT_STRIDED_BATCH_OFFSET = 6, + + /** Stride (in bytes) to the imaginary plane for planar complex layout. + * + * int64_t, default: 0 - 0 means that layout is regular (real and imaginary parts of complex numbers are interleaved + * in memory in each element) + */ + CUBLASLT_MATRIX_LAYOUT_PLANE_OFFSET = 7, +} cublasLtMatrixLayoutAttribute_t; + +/** Internal. Do not use directly. + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixLayoutInit_internal( // + cublasLtMatrixLayout_t matLayout, + size_t size, + cudaDataType type, + uint64_t rows, + uint64_t cols, + int64_t ld); + +/** Initialize matrix layout descriptor in pre-allocated space. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if size of the pre-allocated space is insufficient + * \retval CUBLAS_STATUS_SUCCESS if desciptor was created successfully + */ +static inline cublasStatus_t cublasLtMatrixLayoutInit( + cublasLtMatrixLayout_t matLayout, cudaDataType type, uint64_t rows, uint64_t cols, int64_t ld) { + return cublasLtMatrixLayoutInit_internal(matLayout, sizeof(*matLayout), type, rows, cols, ld); +} + +/** Create new matrix layout descriptor. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if memory could not be allocated + * \retval CUBLAS_STATUS_SUCCESS if desciptor was created successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixLayoutCreate( // + cublasLtMatrixLayout_t* matLayout, + cudaDataType type, + uint64_t rows, + uint64_t cols, + int64_t ld); + +/** Destroy matrix layout descriptor. + * + * \retval CUBLAS_STATUS_SUCCESS if operation was successful + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixLayoutDestroy(cublasLtMatrixLayout_t matLayout); + +/** Set matrix layout descriptor attribute. + * + * \param[in] matLayout The descriptor + * \param[in] attr The attribute + * \param[in] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * + * \retval CUBLAS_STATUS_INVALID_VALUE if buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixLayoutSetAttribute( // + cublasLtMatrixLayout_t matLayout, + cublasLtMatrixLayoutAttribute_t attr, + const void* buf, + size_t sizeInBytes); + +/** Get matrix layout descriptor attribute. + * + * \param[in] matLayout The descriptor + * \param[in] attr The attribute + * \param[out] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * \param[out] sizeWritten only valid when return value is CUBLAS_STATUS_SUCCESS. If sizeInBytes is non-zero: number of + * bytes actually written, if sizeInBytes is 0: number of bytes needed to write full contents + * + * \retval CUBLAS_STATUS_INVALID_VALUE if sizeInBytes is 0 and sizeWritten is NULL, or if sizeInBytes is non-zero + * and buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute's value was successfully written to user memory + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixLayoutGetAttribute( // + cublasLtMatrixLayout_t matLayout, + cublasLtMatrixLayoutAttribute_t attr, + void* buf, + size_t sizeInBytes, + size_t* sizeWritten); + +/* ---------------------------------------------------------------------------------------*/ +/* Helper functions for cublasLtMatmulDesc_t */ +/* ---------------------------------------------------------------------------------------*/ + +/** Matmul descriptor attributes to define details of the operation. */ +typedef enum { + /** Compute type, see cudaDataType. Defines data type used for multiply and accumulate operations and the + * accumulator during matrix multiplication. + * + * int32_t + */ + CUBLASLT_MATMUL_DESC_COMPUTE_TYPE = 0, + + /** Scale type, see cudaDataType. Defines data type of alpha and beta. Accumulator and value from matrix C are + * typically converted to scale type before final scaling. Value is then converted from scale type to type of matrix + * D before being stored in memory. + * + * int32_t, default: same as CUBLASLT_MATMUL_DESC_COMPUTE_TYPE + */ + CUBLASLT_MATMUL_DESC_SCALE_TYPE = 1, + + /** Pointer mode of alpha and beta, see cublasLtPointerMode_t. When CUBLASLT_POINTER_MODE_DEVICE_VECTOR is in use, + * alpha/beta vector lenghts must match number of output matrix rows. + * + * int32_t, default: CUBLASLT_POINTER_MODE_HOST + */ + CUBLASLT_MATMUL_DESC_POINTER_MODE = 2, + + /** Transform of matrix A, see cublasOperation_t. + * + * int32_t, default: CUBLAS_OP_N + */ + CUBLASLT_MATMUL_DESC_TRANSA = 3, + + /** Transform of matrix B, see cublasOperation_t. + * + * int32_t, default: CUBLAS_OP_N + */ + CUBLASLT_MATMUL_DESC_TRANSB = 4, + + /** Transform of matrix C, see cublasOperation_t. + * + * Currently only CUBLAS_OP_N is supported. + * + * int32_t, default: CUBLAS_OP_N + */ + CUBLASLT_MATMUL_DESC_TRANSC = 5, + + /** Matrix fill mode, see cublasFillMode_t. + * + * int32_t, default: CUBLAS_FILL_MODE_FULL + */ + CUBLASLT_MATMUL_DESC_FILL_MODE = 6, + + /** Epilogue function, see cublasLtEpilogue_t. + * + * uint32_t, default: CUBLASLT_EPILOGUE_DEFAULT + */ + CUBLASLT_MATMUL_DESC_EPILOGUE = 7, + + /** Bias or bias gradient vector pointer in the device memory. + * + * Bias case. See CUBLASLT_EPILOGUE_BIAS. + * For bias data type see CUBLASLT_MATMUL_DESC_BIAS_DATA_TYPE. + * + * Bias vector length must match matrix D rows count. + * + * Bias gradient case. See CUBLASLT_EPILOGUE_DRELU_BGRAD and CUBLASLT_EPILOGUE_DGELU_BGRAD. + * Bias gradient vector elements are the same type as the output elements + * (Ctype) with the exception of IMMA kernels (see above). + * + * Routines that don't dereference this pointer, like cublasLtMatmulAlgoGetHeuristic() + * depend on its value to determine expected pointer alignment. + * + * Bias case: const void *, default: NULL + * Bias gradient case: void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_BIAS_POINTER = 8, + + /** Batch stride for bias or bias gradient vector. + * + * Used together with CUBLASLT_MATMUL_DESC_BIAS_POINTER when matrix D's CUBLASLT_MATRIX_LAYOUT_BATCH_COUNT > 1. + * + * int64_t, default: 0 + */ + CUBLASLT_MATMUL_DESC_BIAS_BATCH_STRIDE = 10, + + /** Pointer for epilogue auxiliary buffer. + * + * - Output vector for ReLu bit-mask in forward pass when CUBLASLT_EPILOGUE_RELU_AUX + * or CUBLASLT_EPILOGUE_RELU_AUX_BIAS epilogue is used. + * - Input vector for ReLu bit-mask in backward pass when + * CUBLASLT_EPILOGUE_DRELU_BGRAD epilogue is used. + * + * - Output of GELU input matrix in forward pass when + * CUBLASLT_EPILOGUE_GELU_AUX_BIAS epilogue is used. + * - Input of GELU input matrix for backward pass when + * CUBLASLT_EPILOGUE_DGELU_BGRAD epilogue is used. + * + * For aux data type see CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_DATA_TYPE. + * + * Routines that don't dereference this pointer, like cublasLtMatmulAlgoGetHeuristic() + * depend on its value to determine expected pointer alignment. + * + * Requires setting CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_LD attribute. + * + * Forward pass: void *, default: NULL + * Backward pass: const void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER = 11, + + /** Leading dimension for epilogue auxiliary buffer. + * + * - ReLu bit-mask matrix leading dimension in elements (i.e. bits) + * when CUBLASLT_EPILOGUE_RELU_AUX, CUBLASLT_EPILOGUE_RELU_AUX_BIAS or CUBLASLT_EPILOGUE_DRELU_BGRAD epilogue is + * used. Must be divisible by 128 and be no less than the number of rows in the output matrix. + * + * - GELU input matrix leading dimension in elements + * when CUBLASLT_EPILOGUE_GELU_AUX_BIAS or CUBLASLT_EPILOGUE_DGELU_BGRAD epilogue used. + * Must be divisible by 8 and be no less than the number of rows in the output matrix. + * + * int64_t, default: 0 + */ + CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_LD = 12, + + /** Batch stride for epilogue auxiliary buffer. + * + * - ReLu bit-mask matrix batch stride in elements (i.e. bits) + * when CUBLASLT_EPILOGUE_RELU_AUX, CUBLASLT_EPILOGUE_RELU_AUX_BIAS or CUBLASLT_EPILOGUE_DRELU_BGRAD epilogue is + * used. Must be divisible by 128. + * + * - GELU input matrix batch stride in elements + * when CUBLASLT_EPILOGUE_GELU_AUX_BIAS or CUBLASLT_EPILOGUE_DGELU_BGRAD epilogue used. + * Must be divisible by 8. + * + * int64_t, default: 0 + */ + CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_BATCH_STRIDE = 13, + + /** Batch stride for alpha vector. + * + * Used together with CUBLASLT_POINTER_MODE_ALPHA_DEVICE_VECTOR_BETA_HOST when matrix D's + * CUBLASLT_MATRIX_LAYOUT_BATCH_COUNT > 1. If CUBLASLT_POINTER_MODE_ALPHA_DEVICE_VECTOR_BETA_ZERO is set then + * CUBLASLT_MATMUL_DESC_ALPHA_VECTOR_BATCH_STRIDE must be set to 0 as this mode doesnt supported batched alpha vector. + * + * int64_t, default: 0 + */ + CUBLASLT_MATMUL_DESC_ALPHA_VECTOR_BATCH_STRIDE = 14, + + /** Number of SMs to target for parallel execution. Optimizes heuristics for execution on a different number of SMs + * when user expects a concurrent stream to be using some of the device resources. + * + * int32_t, default: 0 - use the number reported by the device. + */ + CUBLASLT_MATMUL_DESC_SM_COUNT_TARGET = 15, + + /** Device pointer to the scale factor value that converts data in matrix A to the compute data type range. + * + * The scaling factor value must have the same type as the compute type. + * + * If not specified, or set to NULL, the scaling factor is assumed to be 1. + * + * If set for an unsupported matrix data, scale, and compute type combination, calling cublasLtMatmul() + * will return CUBLAS_INVALID_VALUE. + * + * const void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_A_SCALE_POINTER = 17, + + /** Device pointer to the scale factor value to convert data in matrix B to compute data type range. + * + * The scaling factor value must have the same type as the compute type. + * + * If not specified, or set to NULL, the scaling factor is assumed to be 1. + * + * If set for an unsupported matrix data, scale, and compute type combination, calling cublasLtMatmul() + * will return CUBLAS_INVALID_VALUE. + * + * const void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_B_SCALE_POINTER = 18, + + /** Device pointer to the scale factor value to convert data in matrix C to compute data type range. + * + * The scaling factor value must have the same type as the compute type. + * + * If not specified, or set to NULL, the scaling factor is assumed to be 1. + * + * If set for an unsupported matrix data, scale, and compute type combination, calling cublasLtMatmul() + * will return CUBLAS_INVALID_VALUE. + * + * const void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_C_SCALE_POINTER = 19, + + /** Device pointer to the scale factor value to convert data in matrix D to compute data type range. + * + * The scaling factor value must have the same type as the compute type. + * + * If not specified, or set to NULL, the scaling factor is assumed to be 1. + * + * If set for an unsupported matrix data, scale, and compute type combination, calling cublasLtMatmul() + * will return CUBLAS_INVALID_VALUE. + * + * const void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_D_SCALE_POINTER = 20, + + /** Device pointer to the memory location that on completion will be set to the maximum of absolute values in the + * output matrix. + * + * The computed value has the same type as the compute type. + * + * If not specified or set to NULL, the maximum absolute value is not computed. If set for an unsupported matrix + * data, scale, and compute type combination, calling cublasLtMatmul() will return CUBLAS_INVALID_VALUE. + * + * void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_AMAX_D_POINTER = 21, + + /** Type of the data to be stored to the memory pointed to by CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + * + * If unset, the data type defaults to the type of elements of the output matrix with some exceptions, see details + * below. + * + * ReLu uses a bit-mask. + * + * GELU input matrix elements type is the same as the type of elements of + * the output matrix with some exceptions, see details below. + * + * For fp8 kernels with output type CUDA_R_8F_E4M3 the aux data type can be CUDA_R_8F_E4M3 or CUDA_R_16F with some + * restrictions. See https://docs.nvidia.com/cuda/cublas/index.html#cublasLtMatmulDescAttributes_t for more details. + * + * If set for an unsupported matrix data, scale, and compute type combination, calling cublasLtMatmul() + * will return CUBLAS_INVALID_VALUE. + * + * int32_t based on cudaDataType, default: -1 + */ + CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_DATA_TYPE = 22, + + /** Device pointer to the scaling factor value to convert results from compute type data range to storage + * data range in the auxiliary matrix that is set via CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + * + * The scaling factor value must have the same type as the compute type. + * + * If not specified, or set to NULL, the scaling factor is assumed to be 1. If set for an unsupported matrix data, + * scale, and compute type combination, calling cublasLtMatmul() will return CUBLAS_INVALID_VALUE. + * + * void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_SCALE_POINTER = 23, + + /** Device pointer to the memory location that on completion will be set to the maximum of absolute values in the + * buffer that is set via CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + * + * The computed value has the same type as the compute type. + * + * If not specified or set to NULL, the maximum absolute value is not computed. If set for an unsupported matrix + * data, scale, and compute type combination, calling cublasLtMatmul() will return CUBLAS_INVALID_VALUE. + * + * void *, default: NULL + */ + CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_AMAX_POINTER = 24, + + /** Flag for managing fp8 fast accumulation mode. + * When enabled, problem execution might be faster but at the cost of lower accuracy because intermediate results + * will not periodically be promoted to a higher precision. + * + * int8_t, default: 0 - fast accumulation mode is disabled. + */ + CUBLASLT_MATMUL_DESC_FAST_ACCUM = 25, + + /** Type of bias or bias gradient vector in the device memory. + * + * Bias case: see CUBLASLT_EPILOGUE_BIAS. + * + * Bias vector elements are the same type as the elements of output matrix (Dtype) with the following exceptions: + * - IMMA kernels with computeType=CUDA_R_32I and Ctype=CUDA_R_8I where the bias vector elements + * are the same type as alpha, beta (CUBLASLT_MATMUL_DESC_SCALE_TYPE=CUDA_R_32F) + * - fp8 kernels with an output type of CUDA_R_32F, CUDA_R_8F_E4M3 or CUDA_R_8F_E5M2, See + * https://docs.nvidia.com/cuda/cublas/index.html#cublasLtMatmul for details. + * + * int32_t based on cudaDataType, default: -1 + */ + CUBLASLT_MATMUL_DESC_BIAS_DATA_TYPE = 26, +} cublasLtMatmulDescAttributes_t; + +/** Internal. Do not use directly. + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulDescInit_internal( // + cublasLtMatmulDesc_t matmulDesc, + size_t size, + cublasComputeType_t computeType, + cudaDataType_t scaleType); + +/** Initialize matmul operation descriptor in pre-allocated space. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if size of the pre-allocated space is insufficient + * \retval CUBLAS_STATUS_SUCCESS if desciptor was initialized successfully + */ +static inline cublasStatus_t cublasLtMatmulDescInit( // + cublasLtMatmulDesc_t matmulDesc, + cublasComputeType_t computeType, + cudaDataType_t scaleType) { + return cublasLtMatmulDescInit_internal(matmulDesc, sizeof(*matmulDesc), computeType, scaleType); +} + +/** Create new matmul operation descriptor. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if memory could not be allocated + * \retval CUBLAS_STATUS_SUCCESS if desciptor was created successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulDescCreate(cublasLtMatmulDesc_t* matmulDesc, + cublasComputeType_t computeType, + cudaDataType_t scaleType); + +/** Destroy matmul operation descriptor. + * + * \retval CUBLAS_STATUS_SUCCESS if operation was successful + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulDescDestroy(cublasLtMatmulDesc_t matmulDesc); + +/** Set matmul operation descriptor attribute. + * + * \param[in] matmulDesc The descriptor + * \param[in] attr The attribute + * \param[in] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * + * \retval CUBLAS_STATUS_INVALID_VALUE if buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulDescSetAttribute( // + cublasLtMatmulDesc_t matmulDesc, + cublasLtMatmulDescAttributes_t attr, + const void* buf, + size_t sizeInBytes); + +/** Get matmul operation descriptor attribute. + * + * \param[in] matmulDesc The descriptor + * \param[in] attr The attribute + * \param[out] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * \param[out] sizeWritten only valid when return value is CUBLAS_STATUS_SUCCESS. If sizeInBytes is non-zero: number of + * bytes actually written, if sizeInBytes is 0: number of bytes needed to write full contents + * + * \retval CUBLAS_STATUS_INVALID_VALUE if sizeInBytes is 0 and sizeWritten is NULL, or if sizeInBytes is non-zero + * and buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute's value was successfully written to user memory + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulDescGetAttribute( // + cublasLtMatmulDesc_t matmulDesc, + cublasLtMatmulDescAttributes_t attr, + void* buf, + size_t sizeInBytes, + size_t* sizeWritten); + +/* ---------------------------------------------------------------------------------------*/ +/* Helper functions for cublasLtMatrixTransformDesc_t */ +/* ---------------------------------------------------------------------------------------*/ + +/** Matrix transform descriptor attributes to define details of the operation. + */ +typedef enum { + /** Scale type, see cudaDataType. Inputs are converted to scale type for scaling and summation and results are then + * converted to output type to store in memory. + * + * int32_t + */ + CUBLASLT_MATRIX_TRANSFORM_DESC_SCALE_TYPE, + + /** Pointer mode of alpha and beta, see cublasLtPointerMode_t. + * + * int32_t, default: CUBLASLT_POINTER_MODE_HOST + */ + CUBLASLT_MATRIX_TRANSFORM_DESC_POINTER_MODE, + + /** Transform of matrix A, see cublasOperation_t. + * + * int32_t, default: CUBLAS_OP_N + */ + CUBLASLT_MATRIX_TRANSFORM_DESC_TRANSA, + + /** Transform of matrix B, see cublasOperation_t. + * + * int32_t, default: CUBLAS_OP_N + */ + CUBLASLT_MATRIX_TRANSFORM_DESC_TRANSB, +} cublasLtMatrixTransformDescAttributes_t; + +/** Internal. Do not use directly. + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixTransformDescInit_internal(cublasLtMatrixTransformDesc_t transformDesc, + size_t size, + cudaDataType scaleType); + +/** Initialize matrix transform operation descriptor in pre-allocated space. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if size of the pre-allocated space is insufficient + * \retval CUBLAS_STATUS_SUCCESS if desciptor was created successfully + */ +static inline cublasStatus_t cublasLtMatrixTransformDescInit(cublasLtMatrixTransformDesc_t transformDesc, + cudaDataType scaleType) { + return cublasLtMatrixTransformDescInit_internal(transformDesc, sizeof(*transformDesc), scaleType); +} + +/** Create new matrix transform operation descriptor. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if memory could not be allocated + * \retval CUBLAS_STATUS_SUCCESS if desciptor was created successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixTransformDescCreate(cublasLtMatrixTransformDesc_t* transformDesc, + cudaDataType scaleType); + +/** Destroy matrix transform operation descriptor. + * + * \retval CUBLAS_STATUS_SUCCESS if operation was successful + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixTransformDescDestroy(cublasLtMatrixTransformDesc_t transformDesc); + +/** Set matrix transform operation descriptor attribute. + * + * \param[in] transformDesc The descriptor + * \param[in] attr The attribute + * \param[in] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * + * \retval CUBLAS_STATUS_INVALID_VALUE if buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixTransformDescSetAttribute( // + cublasLtMatrixTransformDesc_t transformDesc, + cublasLtMatrixTransformDescAttributes_t attr, + const void* buf, + size_t sizeInBytes); + +/** Get matrix transform operation descriptor attribute. + * + * \param[in] transformDesc The descriptor + * \param[in] attr The attribute + * \param[out] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * \param[out] sizeWritten only valid when return value is CUBLAS_STATUS_SUCCESS. If sizeInBytes is non-zero: number + * of bytes actually written, if sizeInBytes is 0: number of bytes needed to write full contents + * + * \retval CUBLAS_STATUS_INVALID_VALUE if sizeInBytes is 0 and sizeWritten is NULL, or if sizeInBytes is non-zero + * and buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute's value was successfully written to user memory + */ +cublasStatus_t CUBLASWINAPI cublasLtMatrixTransformDescGetAttribute( // + cublasLtMatrixTransformDesc_t transformDesc, + cublasLtMatrixTransformDescAttributes_t attr, + void* buf, + size_t sizeInBytes, + size_t* sizeWritten); + +/** Reduction scheme for portions of the dot-product calculated in parallel (a. k. a. "split - K"). + */ +typedef enum { + /** No reduction scheme, dot-product shall be performed in one sequence. + */ + CUBLASLT_REDUCTION_SCHEME_NONE = 0, + + /** Reduction is performed "in place" - using the output buffer (and output data type) and counters (in workspace) to + * guarantee the sequentiality. + */ + CUBLASLT_REDUCTION_SCHEME_INPLACE = 1, + + /** Intermediate results are stored in compute type in the workspace and reduced in a separate step. + */ + CUBLASLT_REDUCTION_SCHEME_COMPUTE_TYPE = 2, + + /** Intermediate results are stored in output type in the workspace and reduced in a separate step. + */ + CUBLASLT_REDUCTION_SCHEME_OUTPUT_TYPE = 4, + + CUBLASLT_REDUCTION_SCHEME_MASK = 0x7, +} cublasLtReductionScheme_t; + +/** Postprocessing options for the epilogue + */ +typedef enum { + /** No special postprocessing, just scale and quantize results if necessary. + */ + CUBLASLT_EPILOGUE_DEFAULT = 1, + + /** ReLu, apply ReLu point-wise transform to the results (x:=max(x, 0)). + */ + CUBLASLT_EPILOGUE_RELU = 2, + + /** ReLu, apply ReLu point-wise transform to the results (x:=max(x, 0)). + * + * This epilogue mode produces an extra output, a ReLu bit-mask matrix, + * see CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_RELU_AUX = (CUBLASLT_EPILOGUE_RELU | 128), + + /** Bias, apply (broadcasted) Bias from bias vector. Bias vector length must match matrix D rows, it must be packed + * (stride between vector elements is 1). Bias vector is broadcasted to all columns and added before applying final + * postprocessing. + */ + CUBLASLT_EPILOGUE_BIAS = 4, + + /** ReLu and Bias, apply Bias and then ReLu transform + */ + CUBLASLT_EPILOGUE_RELU_BIAS = (CUBLASLT_EPILOGUE_RELU | CUBLASLT_EPILOGUE_BIAS), + + /** ReLu and Bias, apply Bias and then ReLu transform + * + * This epilogue mode produces an extra output, a ReLu bit-mask matrix, + * see CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_RELU_AUX_BIAS = (CUBLASLT_EPILOGUE_RELU_AUX | CUBLASLT_EPILOGUE_BIAS), + + /* ReLu gradient. Apply ReLu gradient to matmul output. Store ReLu gradient in the output matrix. + * + * This epilogue mode requires an extra input, + * see CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_DRELU = 8 | 128, + + /* ReLu and Bias gradients. Apply independently ReLu and Bias gradient to + * matmul output. Store ReLu gradient in the output matrix, and Bias gradient + * in the auxiliary output (see CUBLASLT_MATMUL_DESC_BIAS_POINTER). + * + * This epilogue mode requires an extra input, + * see CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_DRELU_BGRAD = CUBLASLT_EPILOGUE_DRELU | 16, + + /** GELU, apply GELU point-wise transform to the results (x:=GELU(x)). + */ + CUBLASLT_EPILOGUE_GELU = 32, + + /** GELU, apply GELU point-wise transform to the results (x:=GELU(x)). + * + * This epilogue mode outputs GELU input as a separate matrix (useful for training). + * See CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_GELU_AUX = (CUBLASLT_EPILOGUE_GELU | 128), + + /** GELU and Bias, apply Bias and then GELU transform + */ + CUBLASLT_EPILOGUE_GELU_BIAS = (CUBLASLT_EPILOGUE_GELU | CUBLASLT_EPILOGUE_BIAS), + + /** GELU and Bias, apply Bias and then GELU transform + * + * This epilogue mode outputs GELU input as a separate matrix (useful for training). + * See CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_GELU_AUX_BIAS = (CUBLASLT_EPILOGUE_GELU_AUX | CUBLASLT_EPILOGUE_BIAS), + + /* GELU gradient. Apply GELU gradient to matmul output. Store GELU gradient in the output matrix. + * + * This epilogue mode requires an extra input, + * see CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_DGELU = 64 | 128, + + /* GELU and Bias gradients. Apply independently GELU and Bias gradient to + * matmul output. Store GELU gradient in the output matrix, and Bias gradient + * in the auxiliary output (see CUBLASLT_MATMUL_DESC_BIAS_POINTER). + * + * This epilogue mode requires an extra input, + * see CUBLASLT_MATMUL_DESC_EPILOGUE_AUX_POINTER. + */ + CUBLASLT_EPILOGUE_DGELU_BGRAD = CUBLASLT_EPILOGUE_DGELU | 16, + + /** Bias gradient based on the input matrix A. + * + * The bias size corresponds to the number of rows of the matrix D. + * The reduction happens over the GEMM's "k" dimension. + * + * Stores Bias gradient in the auxiliary output + * (see CUBLASLT_MATMUL_DESC_BIAS_POINTER). + */ + CUBLASLT_EPILOGUE_BGRADA = 256, + + /** Bias gradient based on the input matrix B. + * + * The bias size corresponds to the number of columns of the matrix D. + * The reduction happens over the GEMM's "k" dimension. + * + * Stores Bias gradient in the auxiliary output + * (see CUBLASLT_MATMUL_DESC_BIAS_POINTER). + */ + CUBLASLT_EPILOGUE_BGRADB = 512, +} cublasLtEpilogue_t; + +/** Matmul heuristic search mode + */ +typedef enum { + /** ask heuristics for best algo for given usecase + */ + CUBLASLT_SEARCH_BEST_FIT = 0, + /** only try to find best config for preconfigured algo id + */ + CUBLASLT_SEARCH_LIMITED_BY_ALGO_ID = 1, + /** reserved for future use + */ + CUBLASLT_SEARCH_RESERVED_02 = 2, + /** reserved for future use + */ + CUBLASLT_SEARCH_RESERVED_03 = 3, + /** reserved for future use + */ + CUBLASLT_SEARCH_RESERVED_04 = 4, + /** reserved for future use + */ + CUBLASLT_SEARCH_RESERVED_05 = 5, +} cublasLtMatmulSearch_t; + +/** Algo search preference to fine tune the heuristic function. */ +typedef enum { + /** Search mode, see cublasLtMatmulSearch_t. + * + * uint32_t, default: CUBLASLT_SEARCH_BEST_FIT + */ + CUBLASLT_MATMUL_PREF_SEARCH_MODE = 0, + + /** Maximum allowed workspace size in bytes. + * + * uint64_t, default: 0 - no workspace allowed + */ + CUBLASLT_MATMUL_PREF_MAX_WORKSPACE_BYTES = 1, + + /** Reduction scheme mask, see cublasLtReductionScheme_t. Filters heuristic result to only include algo configs that + * use one of the required modes. + * + * E.g. mask value of 0x03 will allow only INPLACE and COMPUTE_TYPE reduction schemes. + * + * uint32_t, default: CUBLASLT_REDUCTION_SCHEME_MASK (allows all reduction schemes) + */ + CUBLASLT_MATMUL_PREF_REDUCTION_SCHEME_MASK = 3, + + /** Minimum buffer alignment for matrix A (in bytes). + * + * Selecting a smaller value will exclude algorithms that can not work with matrix A that is not as strictly aligned + * as they need. + * + * uint32_t, default: 256 + */ + CUBLASLT_MATMUL_PREF_MIN_ALIGNMENT_A_BYTES = 5, + + /** Minimum buffer alignment for matrix B (in bytes). + * + * Selecting a smaller value will exclude algorithms that can not work with matrix B that is not as strictly aligned + * as they need. + * + * uint32_t, default: 256 + */ + CUBLASLT_MATMUL_PREF_MIN_ALIGNMENT_B_BYTES = 6, + + /** Minimum buffer alignment for matrix C (in bytes). + * + * Selecting a smaller value will exclude algorithms that can not work with matrix C that is not as strictly aligned + * as they need. + * + * uint32_t, default: 256 + */ + CUBLASLT_MATMUL_PREF_MIN_ALIGNMENT_C_BYTES = 7, + + /** Minimum buffer alignment for matrix D (in bytes). + * + * Selecting a smaller value will exclude algorithms that can not work with matrix D that is not as strictly aligned + * as they need. + * + * uint32_t, default: 256 + */ + CUBLASLT_MATMUL_PREF_MIN_ALIGNMENT_D_BYTES = 8, + + /** Maximum wave count. + * + * See cublasLtMatmulHeuristicResult_t::wavesCount. + * + * Selecting a non-zero value will exclude algorithms that report device utilization higher than specified. + * + * float, default: 0.0f + */ + CUBLASLT_MATMUL_PREF_MAX_WAVES_COUNT = 9, + + /** Numerical implementation details mask, see cublasLtNumericalImplFlags_t. Filters heuristic result to only include + * algorithms that use the allowed implementations. + * + * uint64_t, default: uint64_t(-1) (allow everything) + */ + CUBLASLT_MATMUL_PREF_IMPL_MASK = 12, +} cublasLtMatmulPreferenceAttributes_t; + +/** Internal. Do not use directly. + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulPreferenceInit_internal(cublasLtMatmulPreference_t pref, size_t size); + +/** Initialize matmul heuristic search preference descriptor in pre-allocated space. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if size of the pre-allocated space is insufficient + * \retval CUBLAS_STATUS_SUCCESS if desciptor was created successfully + */ +static inline cublasStatus_t cublasLtMatmulPreferenceInit(cublasLtMatmulPreference_t pref) { + return cublasLtMatmulPreferenceInit_internal(pref, sizeof(*pref)); +} + +/** Create new matmul heuristic search preference descriptor. + * + * \retval CUBLAS_STATUS_ALLOC_FAILED if memory could not be allocated + * \retval CUBLAS_STATUS_SUCCESS if desciptor was created successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulPreferenceCreate(cublasLtMatmulPreference_t* pref); + +/** Destroy matmul heuristic search preference descriptor. + * + * \retval CUBLAS_STATUS_SUCCESS if operation was successful + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulPreferenceDestroy(cublasLtMatmulPreference_t pref); + +/** Set matmul heuristic search preference descriptor attribute. + * + * \param[in] pref The descriptor + * \param[in] attr The attribute + * \param[in] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * + * \retval CUBLAS_STATUS_INVALID_VALUE if buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulPreferenceSetAttribute( // + cublasLtMatmulPreference_t pref, + cublasLtMatmulPreferenceAttributes_t attr, + const void* buf, + size_t sizeInBytes); + +/** Get matmul heuristic search preference descriptor attribute. + * + * \param[in] pref The descriptor + * \param[in] attr The attribute + * \param[out] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * \param[out] sizeWritten only valid when return value is CUBLAS_STATUS_SUCCESS. If sizeInBytes is non-zero: number of + * bytes actually written, if sizeInBytes is 0: number of bytes needed to write full contents + * + * \retval CUBLAS_STATUS_INVALID_VALUE if sizeInBytes is 0 and sizeWritten is NULL, or if sizeInBytes is non-zero + * and buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute's value was successfully written to user memory + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulPreferenceGetAttribute( // + cublasLtMatmulPreference_t pref, + cublasLtMatmulPreferenceAttributes_t attr, + void* buf, + size_t sizeInBytes, + size_t* sizeWritten); + +/** Results structure used by cublasLtMatmulGetAlgo. + * + * Holds returned configured algo descriptor and its runtime properties. + */ +typedef struct { + /** Matmul algorithm descriptor. + * + * Must be initialized with cublasLtMatmulAlgoInit() if preferences' CUBLASLT_MATMUL_PERF_SEARCH_MODE is set to + * CUBLASLT_SEARCH_LIMITED_BY_ALGO_ID + */ + cublasLtMatmulAlgo_t algo; + + /** Actual size of workspace memory required. + */ + size_t workspaceSize; + + /** Result status, other fields are only valid if after call to cublasLtMatmulAlgoGetHeuristic() this member is set to + * CUBLAS_STATUS_SUCCESS. + */ + cublasStatus_t state; + + /** Waves count - a device utilization metric. + * + * wavesCount value of 1.0f suggests that when kernel is launched it will fully occupy the GPU. + */ + float wavesCount; + + int reserved[4]; +} cublasLtMatmulHeuristicResult_t; + +/** Query cublasLt heuristic for algorithm appropriate for given use case. + * + * \param[in] lightHandle Pointer to the allocated cuBLASLt handle for the cuBLASLt + * context. See cublasLtHandle_t. + * \param[in] operationDesc Handle to the matrix multiplication descriptor. + * \param[in] Adesc Handle to the layout descriptors for matrix A. + * \param[in] Bdesc Handle to the layout descriptors for matrix B. + * \param[in] Cdesc Handle to the layout descriptors for matrix C. + * \param[in] Ddesc Handle to the layout descriptors for matrix D. + * \param[in] preference Pointer to the structure holding the heuristic search + * preferences descriptor. See cublasLtMatrixLayout_t. + * \param[in] requestedAlgoCount Size of heuristicResultsArray (in elements) and requested + * maximum number of algorithms to return. + * \param[in, out] heuristicResultsArray Output algorithms and associated runtime characteristics, + * ordered in increasing estimated compute time. + * \param[out] returnAlgoCount The number of heuristicResultsArray elements written. + * + * \retval CUBLAS_STATUS_INVALID_VALUE if requestedAlgoCount is less or equal to zero + * \retval CUBLAS_STATUS_NOT_SUPPORTED if no heuristic function available for current configuration + * \retval CUBLAS_STATUS_SUCCESS if query was successful, inspect + * heuristicResultsArray[0 to (returnAlgoCount - 1)].state + * for detail status of results + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulAlgoGetHeuristic(cublasLtHandle_t lightHandle, + cublasLtMatmulDesc_t operationDesc, + cublasLtMatrixLayout_t Adesc, + cublasLtMatrixLayout_t Bdesc, + cublasLtMatrixLayout_t Cdesc, + cublasLtMatrixLayout_t Ddesc, + cublasLtMatmulPreference_t preference, + int requestedAlgoCount, + cublasLtMatmulHeuristicResult_t heuristicResultsArray[], + int* returnAlgoCount); + +/* ---------------------------------------------------------------------------------------*/ +/* Lower level API to be able to implement own Heuristic and Find routines */ +/* ---------------------------------------------------------------------------------------*/ + +/** Routine to get all algo IDs that can potentially run + * + * \param[in] int requestedAlgoCount requested number of algos (must be less or equal to size of algoIdsA + * (in elements)) \param[out] algoIdsA array to write algoIds to \param[out] returnAlgoCount number of algoIds + * actually written + * + * \retval CUBLAS_STATUS_INVALID_VALUE if requestedAlgoCount is less or equal to zero + * \retval CUBLAS_STATUS_SUCCESS if query was successful, inspect returnAlgoCount to get actual number of IDs + * available + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulAlgoGetIds(cublasLtHandle_t lightHandle, + cublasComputeType_t computeType, + cudaDataType_t scaleType, + cudaDataType_t Atype, + cudaDataType_t Btype, + cudaDataType_t Ctype, + cudaDataType_t Dtype, + int requestedAlgoCount, + int algoIdsArray[], + int* returnAlgoCount); + +/** Initialize algo structure + * + * \retval CUBLAS_STATUS_INVALID_VALUE if algo is NULL or algoId is outside of recognized range + * \retval CUBLAS_STATUS_NOT_SUPPORTED if algoId is not supported for given combination of data types + * \retval CUBLAS_STATUS_SUCCESS if the structure was successfully initialized + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulAlgoInit(cublasLtHandle_t lightHandle, + cublasComputeType_t computeType, + cudaDataType_t scaleType, + cudaDataType_t Atype, + cudaDataType_t Btype, + cudaDataType_t Ctype, + cudaDataType_t Dtype, + int algoId, + cublasLtMatmulAlgo_t* algo); + +/** Check configured algo descriptor for correctness and support on current device. + * + * Result includes required workspace size and calculated wave count. + * + * CUBLAS_STATUS_SUCCESS doesn't fully guarantee algo will run (will fail if e.g. buffers are not correctly aligned); + * but if cublasLtMatmulAlgoCheck fails, the algo will not run. + * + * \param[in] algo algo configuration to check + * \param[out] result result structure to report algo runtime characteristics; algo field is never updated + * + * \retval CUBLAS_STATUS_INVALID_VALUE if matrix layout descriptors or operation descriptor don't match algo + * descriptor + * \retval CUBLAS_STATUS_NOT_SUPPORTED if algo configuration or data type combination is not currently supported on + * given device + * \retval CUBLAS_STATUS_ARCH_MISMATCH if algo configuration cannot be run using the selected device + * \retval CUBLAS_STATUS_SUCCESS if check was successful + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulAlgoCheck( // + cublasLtHandle_t lightHandle, + cublasLtMatmulDesc_t operationDesc, + cublasLtMatrixLayout_t Adesc, + cublasLtMatrixLayout_t Bdesc, + cublasLtMatrixLayout_t Cdesc, + cublasLtMatrixLayout_t Ddesc, + const cublasLtMatmulAlgo_t* algo, ///< may point to result->algo + cublasLtMatmulHeuristicResult_t* result); + +/** Capabilities Attributes that can be retrieved from an initialized Algo structure + */ +typedef enum { + /** support for split K, see CUBLASLT_ALGO_CONFIG_SPLITK_NUM + * + * int32_t, 0 means no support, supported otherwise + */ + CUBLASLT_ALGO_CAP_SPLITK_SUPPORT = 0, + + /** reduction scheme mask, see cublasLtReductionScheme_t; shows supported reduction schemes, if reduction scheme is + * not masked out it is supported. + * + * e.g. int isReductionSchemeComputeTypeSupported ? (reductionSchemeMask & CUBLASLT_REDUCTION_SCHEME_COMPUTE_TYPE) == + * CUBLASLT_REDUCTION_SCHEME_COMPUTE_TYPE ? 1 : 0; + * + * uint32_t + */ + CUBLASLT_ALGO_CAP_REDUCTION_SCHEME_MASK = 1, + + /** support for cta swizzling, see CUBLASLT_ALGO_CONFIG_CTA_SWIZZLING + * + * uint32_t, 0 means no support, 1 means supported value of 1, other values are reserved + */ + CUBLASLT_ALGO_CAP_CTA_SWIZZLING_SUPPORT = 2, + + /** support strided batch + * + * int32_t, 0 means no support, supported otherwise + */ + CUBLASLT_ALGO_CAP_STRIDED_BATCH_SUPPORT = 3, + + /** support results out of place (D != C in D = alpha.A.B + beta.C) + * + * int32_t, 0 means no support, supported otherwise + */ + CUBLASLT_ALGO_CAP_OUT_OF_PLACE_RESULT_SUPPORT = 4, + + /** syrk/herk support (on top of regular gemm) + * + * int32_t, 0 means no support, supported otherwise + */ + CUBLASLT_ALGO_CAP_UPLO_SUPPORT = 5, + + /** tile ids possible to use, see cublasLtMatmulTile_t; if no tile ids are supported use + * CUBLASLT_MATMUL_TILE_UNDEFINED + * + * use cublasLtMatmulAlgoCapGetAttribute() with sizeInBytes=0 to query actual count + * + * array of uint32_t + */ + CUBLASLT_ALGO_CAP_TILE_IDS = 6, + + /** custom option range is from 0 to CUBLASLT_ALGO_CAP_CUSTOM_OPTION_MAX (inclusive), see + * CUBLASLT_ALGO_CONFIG_CUSTOM_OPTION + * + * int32_t + */ + CUBLASLT_ALGO_CAP_CUSTOM_OPTION_MAX = 7, + + /** whether algorithm supports custom (not COL or ROW memory order), see cublasLtOrder_t + * + * int32_t 0 means only COL and ROW memory order is allowed, non-zero means that algo might have different + * requirements; + */ + CUBLASLT_ALGO_CAP_CUSTOM_MEMORY_ORDER = 10, + + /** bitmask enumerating pointer modes algorithm supports + * + * uint32_t, see cublasLtPointerModeMask_t + */ + CUBLASLT_ALGO_CAP_POINTER_MODE_MASK = 11, + + /** bitmask enumerating kinds of postprocessing algorithm supports in the epilogue + * + * uint32_t, see cublasLtEpilogue_t + */ + CUBLASLT_ALGO_CAP_EPILOGUE_MASK = 12, + + /** stages ids possible to use, see cublasLtMatmulStages_t; if no stages ids are supported use + * CUBLASLT_MATMUL_STAGES_UNDEFINED + * + * use cublasLtMatmulAlgoCapGetAttribute() with sizeInBytes=0 to query actual count + * + * array of uint32_t + */ + CUBLASLT_ALGO_CAP_STAGES_IDS = 13, + + /** support for nagative ld for all of the matrices + * + * int32_t 0 means no support, supported otherwise + */ + CUBLASLT_ALGO_CAP_LD_NEGATIVE = 14, + + /** details about algorithm's implementation that affect it's numerical behavior + * + * uint64_t, see cublasLtNumericalImplFlags_t + */ + CUBLASLT_ALGO_CAP_NUMERICAL_IMPL_FLAGS = 15, + + /** minimum alignment required for A matrix in bytes + * (required for buffer pointer, leading dimension, and possibly other strides defined for matrix memory order) + * + * uint32_t + */ + CUBLASLT_ALGO_CAP_MIN_ALIGNMENT_A_BYTES = 16, + + /** minimum alignment required for B matrix in bytes + * (required for buffer pointer, leading dimension, and possibly other strides defined for matrix memory order) + * + * uint32_t + */ + CUBLASLT_ALGO_CAP_MIN_ALIGNMENT_B_BYTES = 17, + + /** minimum alignment required for C matrix in bytes + * (required for buffer pointer, leading dimension, and possibly other strides defined for matrix memory order) + * + * uint32_t + */ + CUBLASLT_ALGO_CAP_MIN_ALIGNMENT_C_BYTES = 18, + + /** minimum alignment required for D matrix in bytes + * (required for buffer pointer, leading dimension, and possibly other strides defined for matrix memory order) + * + * uint32_t + */ + CUBLASLT_ALGO_CAP_MIN_ALIGNMENT_D_BYTES = 19, +} cublasLtMatmulAlgoCapAttributes_t; + +/** Get algo capability attribute. + * + * E.g. to get list of supported Tile IDs: + * cublasLtMatmulTile_t tiles[CUBLASLT_MATMUL_TILE_END]; + * size_t num_tiles, size_written; + * if (cublasLtMatmulAlgoCapGetAttribute(algo, CUBLASLT_ALGO_CAP_TILE_IDS, tiles, sizeof(tiles), size_written) == + * CUBLAS_STATUS_SUCCESS) { num_tiles = size_written / sizeof(tiles[0]); + * } + * + * \param[in] algo The algo descriptor + * \param[in] attr The attribute + * \param[out] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * \param[out] sizeWritten only valid when return value is CUBLAS_STATUS_SUCCESS. If sizeInBytes is non-zero: number of + * bytes actually written, if sizeInBytes is 0: number of bytes needed to write full contents + * + * \retval CUBLAS_STATUS_INVALID_VALUE if sizeInBytes is 0 and sizeWritten is NULL, or if sizeInBytes is non-zero + * and buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute's value was successfully written to user memory + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulAlgoCapGetAttribute(const cublasLtMatmulAlgo_t* algo, + cublasLtMatmulAlgoCapAttributes_t attr, + void* buf, + size_t sizeInBytes, + size_t* sizeWritten); + +/** Algo Configuration Attributes that can be set according to the Algo capabilities + */ +typedef enum { + /** algorithm index, see cublasLtMatmulAlgoGetIds() + * + * readonly, set by cublasLtMatmulAlgoInit() + * int32_t + */ + CUBLASLT_ALGO_CONFIG_ID = 0, + /** tile id, see cublasLtMatmulTile_t + * + * uint32_t, default: CUBLASLT_MATMUL_TILE_UNDEFINED + */ + CUBLASLT_ALGO_CONFIG_TILE_ID = 1, + /** Number of K splits. If the number of K splits is greater than one, SPLITK_NUM parts + * of matrix multiplication will be computed in parallel. The results will be accumulated + * according to CUBLASLT_ALGO_CONFIG_REDUCTION_SCHEME + * + * int32_t, default: 1 + */ + CUBLASLT_ALGO_CONFIG_SPLITK_NUM = 2, + /** reduction scheme, see cublasLtReductionScheme_t + * + * uint32_t, default: CUBLASLT_REDUCTION_SCHEME_NONE + */ + CUBLASLT_ALGO_CONFIG_REDUCTION_SCHEME = 3, + /** cta swizzling, change mapping from CUDA grid coordinates to parts of the matrices + * + * possible values: 0, 1, other values reserved + * + * uint32_t, default: 0 + */ + CUBLASLT_ALGO_CONFIG_CTA_SWIZZLING = 4, + /** custom option, each algorithm can support some custom options that don't fit description of the other config + * attributes, see CUBLASLT_ALGO_CAP_CUSTOM_OPTION_MAX to get accepted range for any specific case + * + * uint32_t, default: 0 + */ + CUBLASLT_ALGO_CONFIG_CUSTOM_OPTION = 5, + /** stages id, see cublasLtMatmulStages_t + * + * uint32_t, default: CUBLASLT_MATMUL_STAGES_UNDEFINED + */ + CUBLASLT_ALGO_CONFIG_STAGES_ID = 6, + /** inner shape id, see cublasLtMatmulInnerShape_t + * + * uint16_t, default: 0 (CUBLASLT_MATMUL_INNER_SHAPE_UNDEFINED) + */ + CUBLASLT_ALGO_CONFIG_INNER_SHAPE_ID = 7, + /** Thread Block Cluster shape id, see cublasLtClusterShape_t. Defines cluster size to use. + * + * uint16_t, default: 0 (CUBLASLT_CLUSTER_SHAPE_AUTO) + */ + CUBLASLT_ALGO_CONFIG_CLUSTER_SHAPE_ID = 8, +} cublasLtMatmulAlgoConfigAttributes_t; + +/** Set algo configuration attribute. + * + * \param[in] algo The algo descriptor + * \param[in] attr The attribute + * \param[in] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * + * \retval CUBLAS_STATUS_INVALID_VALUE if buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulAlgoConfigSetAttribute(cublasLtMatmulAlgo_t* algo, + cublasLtMatmulAlgoConfigAttributes_t attr, + const void* buf, + size_t sizeInBytes); + +/** Get algo configuration attribute. + * + * \param[in] algo The algo descriptor + * \param[in] attr The attribute + * \param[out] buf memory address containing the new value + * \param[in] sizeInBytes size of buf buffer for verification (in bytes) + * \param[out] sizeWritten only valid when return value is CUBLAS_STATUS_SUCCESS. If sizeInBytes is non-zero: number of + * bytes actually written, if sizeInBytes is 0: number of bytes needed to write full contents + * + * \retval CUBLAS_STATUS_INVALID_VALUE if sizeInBytes is 0 and sizeWritten is NULL, or if sizeInBytes is non-zero + * and buf is NULL or sizeInBytes doesn't match size of internal storage for + * selected attribute + * \retval CUBLAS_STATUS_SUCCESS if attribute's value was successfully written to user memory + */ +cublasStatus_t CUBLASWINAPI cublasLtMatmulAlgoConfigGetAttribute(const cublasLtMatmulAlgo_t* algo, + cublasLtMatmulAlgoConfigAttributes_t attr, + void* buf, + size_t sizeInBytes, + size_t* sizeWritten); + +/** Experimental: Logger callback type. + */ +typedef void (*cublasLtLoggerCallback_t)(int logLevel, const char* functionName, const char* message); + +/** Experimental: Logger callback setter. + * + * \param[in] callback a user defined callback function to be called by the logger + * + * \retval CUBLAS_STATUS_SUCCESS if callback was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtLoggerSetCallback(cublasLtLoggerCallback_t callback); + +/** Experimental: Log file setter. + * + * \param[in] file an open file with write permissions + * + * \retval CUBLAS_STATUS_SUCCESS if log file was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtLoggerSetFile(FILE* file); + +/** Experimental: Open log file. + * + * \param[in] logFile log file path. if the log file does not exist, it will be created + * + * \retval CUBLAS_STATUS_SUCCESS if log file was created successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtLoggerOpenFile(const char* logFile); + +/** Experimental: Log level setter. + * + * \param[in] level log level, should be one of the following: + * 0. Off + * 1. Errors + * 2. Performance Trace + * 3. Performance Hints + * 4. Heuristics Trace + * 5. API Trace + * + * \retval CUBLAS_STATUS_INVALID_VALUE if log level is not one of the above levels + * + * \retval CUBLAS_STATUS_SUCCESS if log level was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtLoggerSetLevel(int level); + +/** Experimental: Log mask setter. + * + * \param[in] mask log mask, should be a combination of the following masks: + * 0. Off + * 1. Errors + * 2. Performance Trace + * 4. Performance Hints + * 8. Heuristics Trace + * 16. API Trace + * + * \retval CUBLAS_STATUS_SUCCESS if log mask was set successfully + */ +cublasStatus_t CUBLASWINAPI cublasLtLoggerSetMask(int mask); + +/** Experimental: Disable logging for the entire session. + * + * \retval CUBLAS_STATUS_SUCCESS if disabled logging + */ +cublasStatus_t CUBLASWINAPI cublasLtLoggerForceDisable(); + +#if defined(__cplusplus) +} +#endif /* __cplusplus */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublasXt.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublasXt.h new file mode 100644 index 0000000000000000000000000000000000000000..fe0e6f99b952514874c45208e751f5330e71570c --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublasXt.h @@ -0,0 +1,693 @@ +/* + * Copyright 1993-2019 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +/* cublasXt : Host API, Out of Core and Multi-GPU BLAS Library + +*/ + +#if !defined(CUBLAS_XT_H_) +#define CUBLAS_XT_H_ + +#include "driver_types.h" +#include "cuComplex.h" /* import complex data type */ + +#include "cublas_v2.h" + +#if defined(__cplusplus) +extern "C" { +#endif /* __cplusplus */ + +struct cublasXtContext; +typedef struct cublasXtContext* cublasXtHandle_t; + +cublasStatus_t CUBLASWINAPI cublasXtCreate(cublasXtHandle_t* handle); +cublasStatus_t CUBLASWINAPI cublasXtDestroy(cublasXtHandle_t handle); +cublasStatus_t CUBLASWINAPI cublasXtGetNumBoards(int nbDevices, int deviceId[], int* nbBoards); +cublasStatus_t CUBLASWINAPI cublasXtMaxBoards(int* nbGpuBoards); +/* This routine selects the Gpus that the user want to use for CUBLAS-XT */ +cublasStatus_t CUBLASWINAPI cublasXtDeviceSelect(cublasXtHandle_t handle, int nbDevices, int deviceId[]); + +/* This routine allows to change the dimension of the tiles ( blockDim x blockDim ) */ +cublasStatus_t CUBLASWINAPI cublasXtSetBlockDim(cublasXtHandle_t handle, int blockDim); +cublasStatus_t CUBLASWINAPI cublasXtGetBlockDim(cublasXtHandle_t handle, int* blockDim); + +typedef enum { CUBLASXT_PINNING_DISABLED = 0, CUBLASXT_PINNING_ENABLED = 1 } cublasXtPinnedMemMode_t; +/* This routine allows to CUBLAS-XT to pin the Host memory if it find out that some of the matrix passed + are not pinned : Pinning/Unpinning the Host memory is still a costly operation + It is better if the user controls the memory on its own (by pinning/unpinning oly when necessary) +*/ +cublasStatus_t CUBLASWINAPI cublasXtGetPinningMemMode(cublasXtHandle_t handle, cublasXtPinnedMemMode_t* mode); +cublasStatus_t CUBLASWINAPI cublasXtSetPinningMemMode(cublasXtHandle_t handle, cublasXtPinnedMemMode_t mode); + +/* This routines is to provide a CPU Blas routines, used for too small sizes or hybrid computation */ +typedef enum { + CUBLASXT_FLOAT = 0, + CUBLASXT_DOUBLE = 1, + CUBLASXT_COMPLEX = 2, + CUBLASXT_DOUBLECOMPLEX = 3, +} cublasXtOpType_t; + +typedef enum { + CUBLASXT_GEMM = 0, + CUBLASXT_SYRK = 1, + CUBLASXT_HERK = 2, + CUBLASXT_SYMM = 3, + CUBLASXT_HEMM = 4, + CUBLASXT_TRSM = 5, + CUBLASXT_SYR2K = 6, + CUBLASXT_HER2K = 7, + + CUBLASXT_SPMM = 8, + CUBLASXT_SYRKX = 9, + CUBLASXT_HERKX = 10, + CUBLASXT_TRMM = 11, + CUBLASXT_ROUTINE_MAX = 12, +} cublasXtBlasOp_t; + +/* Currently only 32-bit integer BLAS routines are supported */ +cublasStatus_t CUBLASWINAPI cublasXtSetCpuRoutine(cublasXtHandle_t handle, + cublasXtBlasOp_t blasOp, + cublasXtOpType_t type, + void* blasFunctor); + +/* Specified the percentage of work that should done by the CPU, default is 0 (no work) */ +cublasStatus_t CUBLASWINAPI cublasXtSetCpuRatio(cublasXtHandle_t handle, + cublasXtBlasOp_t blasOp, + cublasXtOpType_t type, + float ratio); + +/* GEMM */ +cublasStatus_t CUBLASWINAPI cublasXtSgemm(cublasXtHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + size_t m, + size_t n, + size_t k, + const float* alpha, + const float* A, + size_t lda, + const float* B, + size_t ldb, + const float* beta, + float* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtDgemm(cublasXtHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + size_t m, + size_t n, + size_t k, + const double* alpha, + const double* A, + size_t lda, + const double* B, + size_t ldb, + const double* beta, + double* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtCgemm(cublasXtHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + size_t m, + size_t n, + size_t k, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + const cuComplex* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZgemm(cublasXtHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + size_t m, + size_t n, + size_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + size_t ldc); +/* ------------------------------------------------------- */ +/* SYRK */ +cublasStatus_t CUBLASWINAPI cublasXtSsyrk(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const float* alpha, + const float* A, + size_t lda, + const float* beta, + float* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtDsyrk(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const double* alpha, + const double* A, + size_t lda, + const double* beta, + double* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtCsyrk(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZsyrk(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + size_t ldc); +/* -------------------------------------------------------------------- */ +/* HERK */ +cublasStatus_t CUBLASWINAPI cublasXtCherk(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const float* alpha, + const cuComplex* A, + size_t lda, + const float* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZherk(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const double* alpha, + const cuDoubleComplex* A, + size_t lda, + const double* beta, + cuDoubleComplex* C, + size_t ldc); +/* -------------------------------------------------------------------- */ +/* SYR2K */ +cublasStatus_t CUBLASWINAPI cublasXtSsyr2k(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const float* alpha, + const float* A, + size_t lda, + const float* B, + size_t ldb, + const float* beta, + float* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtDsyr2k(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const double* alpha, + const double* A, + size_t lda, + const double* B, + size_t ldb, + const double* beta, + double* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtCsyr2k(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + const cuComplex* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZsyr2k(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + size_t ldc); +/* -------------------------------------------------------------------- */ +/* HERKX : variant extension of HERK */ +cublasStatus_t CUBLASWINAPI cublasXtCherkx(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + const float* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZherkx(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + const double* beta, + cuDoubleComplex* C, + size_t ldc); + +/* -------------------------------------------------------------------- */ +/* TRSM */ +cublasStatus_t CUBLASWINAPI cublasXtStrsm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const float* alpha, + const float* A, + size_t lda, + float* B, + size_t ldb); + +cublasStatus_t CUBLASWINAPI cublasXtDtrsm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const double* alpha, + const double* A, + size_t lda, + double* B, + size_t ldb); + +cublasStatus_t CUBLASWINAPI cublasXtCtrsm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + cuComplex* B, + size_t ldb); + +cublasStatus_t CUBLASWINAPI cublasXtZtrsm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + cuDoubleComplex* B, + size_t ldb); +/* -------------------------------------------------------------------- */ +/* SYMM : Symmetric Multiply Matrix*/ +cublasStatus_t CUBLASWINAPI cublasXtSsymm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const float* alpha, + const float* A, + size_t lda, + const float* B, + size_t ldb, + const float* beta, + float* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtDsymm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const double* alpha, + const double* A, + size_t lda, + const double* B, + size_t ldb, + const double* beta, + double* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtCsymm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + const cuComplex* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZsymm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + size_t ldc); +/* -------------------------------------------------------------------- */ +/* HEMM : Hermitian Matrix Multiply */ +cublasStatus_t CUBLASWINAPI cublasXtChemm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + const cuComplex* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZhemm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + size_t ldc); + +/* -------------------------------------------------------------------- */ +/* SYRKX : variant extension of SYRK */ +cublasStatus_t CUBLASWINAPI cublasXtSsyrkx(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const float* alpha, + const float* A, + size_t lda, + const float* B, + size_t ldb, + const float* beta, + float* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtDsyrkx(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const double* alpha, + const double* A, + size_t lda, + const double* B, + size_t ldb, + const double* beta, + double* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtCsyrkx(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + const cuComplex* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZsyrkx(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + size_t ldc); +/* -------------------------------------------------------------------- */ +/* HER2K : variant extension of HERK */ +cublasStatus_t CUBLASWINAPI cublasXtCher2k(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + const float* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZher2k(cublasXtHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + size_t n, + size_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + const double* beta, + cuDoubleComplex* C, + size_t ldc); + +/* -------------------------------------------------------------------- */ +/* SPMM : Symmetric Packed Multiply Matrix*/ +cublasStatus_t CUBLASWINAPI cublasXtSspmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const float* alpha, + const float* AP, + const float* B, + size_t ldb, + const float* beta, + float* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtDspmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const double* alpha, + const double* AP, + const double* B, + size_t ldb, + const double* beta, + double* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtCspmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const cuComplex* alpha, + const cuComplex* AP, + const cuComplex* B, + size_t ldb, + const cuComplex* beta, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZspmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + size_t m, + size_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* AP, + const cuDoubleComplex* B, + size_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + size_t ldc); + +/* -------------------------------------------------------------------- */ +/* TRMM */ +cublasStatus_t CUBLASWINAPI cublasXtStrmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const float* alpha, + const float* A, + size_t lda, + const float* B, + size_t ldb, + float* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtDtrmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const double* alpha, + const double* A, + size_t lda, + const double* B, + size_t ldb, + double* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtCtrmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const cuComplex* alpha, + const cuComplex* A, + size_t lda, + const cuComplex* B, + size_t ldb, + cuComplex* C, + size_t ldc); + +cublasStatus_t CUBLASWINAPI cublasXtZtrmm(cublasXtHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + size_t m, + size_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + size_t lda, + const cuDoubleComplex* B, + size_t ldb, + cuDoubleComplex* C, + size_t ldc); + +#if defined(__cplusplus) +} +#endif /* __cplusplus */ + +#endif /* !defined(CUBLAS_XT_H_) */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas_api.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas_api.h new file mode 100644 index 0000000000000000000000000000000000000000..a8c3d8cddea009fa826689e053126ddc6dbd5b1f --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas_api.h @@ -0,0 +1,5725 @@ +/* + * Copyright 1993-2022 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +/* + * This is the public header file for the CUBLAS library, defining the API + * + * CUBLAS is an implementation of BLAS (Basic Linear Algebra Subroutines) + * on top of the CUDA runtime. + */ + +#if !defined(CUBLAS_API_H_) +#define CUBLAS_API_H_ + +#ifndef CUBLASWINAPI +#ifdef _WIN32 +#define CUBLASWINAPI __stdcall +#else +#define CUBLASWINAPI +#endif +#endif + +#ifndef CUBLASAPI +#error "This file should not be included without defining CUBLASAPI" +#endif + +#include + +#include "driver_types.h" +#include "cuComplex.h" /* import complex data type */ + +#include +#include + +#include + +#if defined(__cplusplus) +extern "C" { +#endif /* __cplusplus */ + +#define CUBLAS_VER_MAJOR 12 +#define CUBLAS_VER_MINOR 1 +#define CUBLAS_VER_PATCH 3 +#define CUBLAS_VER_BUILD 1 +#define CUBLAS_VERSION (CUBLAS_VER_MAJOR * 10000 + CUBLAS_VER_MINOR * 100 + CUBLAS_VER_PATCH) + +/* CUBLAS status type returns */ +typedef enum { + CUBLAS_STATUS_SUCCESS = 0, + CUBLAS_STATUS_NOT_INITIALIZED = 1, + CUBLAS_STATUS_ALLOC_FAILED = 3, + CUBLAS_STATUS_INVALID_VALUE = 7, + CUBLAS_STATUS_ARCH_MISMATCH = 8, + CUBLAS_STATUS_MAPPING_ERROR = 11, + CUBLAS_STATUS_EXECUTION_FAILED = 13, + CUBLAS_STATUS_INTERNAL_ERROR = 14, + CUBLAS_STATUS_NOT_SUPPORTED = 15, + CUBLAS_STATUS_LICENSE_ERROR = 16 +} cublasStatus_t; + +typedef enum { CUBLAS_FILL_MODE_LOWER = 0, CUBLAS_FILL_MODE_UPPER = 1, CUBLAS_FILL_MODE_FULL = 2 } cublasFillMode_t; + +typedef enum { CUBLAS_DIAG_NON_UNIT = 0, CUBLAS_DIAG_UNIT = 1 } cublasDiagType_t; + +typedef enum { CUBLAS_SIDE_LEFT = 0, CUBLAS_SIDE_RIGHT = 1 } cublasSideMode_t; + +typedef enum { + CUBLAS_OP_N = 0, + CUBLAS_OP_T = 1, + CUBLAS_OP_C = 2, + CUBLAS_OP_HERMITAN = 2, /* synonym if CUBLAS_OP_C */ + CUBLAS_OP_CONJG = 3 /* conjugate, placeholder - not supported in the current release */ +} cublasOperation_t; + +typedef enum { CUBLAS_POINTER_MODE_HOST = 0, CUBLAS_POINTER_MODE_DEVICE = 1 } cublasPointerMode_t; + +typedef enum { CUBLAS_ATOMICS_NOT_ALLOWED = 0, CUBLAS_ATOMICS_ALLOWED = 1 } cublasAtomicsMode_t; + +/*For different GEMM algorithm */ +typedef enum { + CUBLAS_GEMM_DFALT = -1, + CUBLAS_GEMM_DEFAULT = -1, + CUBLAS_GEMM_ALGO0 = 0, + CUBLAS_GEMM_ALGO1 = 1, + CUBLAS_GEMM_ALGO2 = 2, + CUBLAS_GEMM_ALGO3 = 3, + CUBLAS_GEMM_ALGO4 = 4, + CUBLAS_GEMM_ALGO5 = 5, + CUBLAS_GEMM_ALGO6 = 6, + CUBLAS_GEMM_ALGO7 = 7, + CUBLAS_GEMM_ALGO8 = 8, + CUBLAS_GEMM_ALGO9 = 9, + CUBLAS_GEMM_ALGO10 = 10, + CUBLAS_GEMM_ALGO11 = 11, + CUBLAS_GEMM_ALGO12 = 12, + CUBLAS_GEMM_ALGO13 = 13, + CUBLAS_GEMM_ALGO14 = 14, + CUBLAS_GEMM_ALGO15 = 15, + CUBLAS_GEMM_ALGO16 = 16, + CUBLAS_GEMM_ALGO17 = 17, + CUBLAS_GEMM_ALGO18 = 18, // sliced 32x32 + CUBLAS_GEMM_ALGO19 = 19, // sliced 64x32 + CUBLAS_GEMM_ALGO20 = 20, // sliced 128x32 + CUBLAS_GEMM_ALGO21 = 21, // sliced 32x32 -splitK + CUBLAS_GEMM_ALGO22 = 22, // sliced 64x32 -splitK + CUBLAS_GEMM_ALGO23 = 23, // sliced 128x32 -splitK + CUBLAS_GEMM_DEFAULT_TENSOR_OP = 99, + CUBLAS_GEMM_DFALT_TENSOR_OP = 99, + CUBLAS_GEMM_ALGO0_TENSOR_OP = 100, + CUBLAS_GEMM_ALGO1_TENSOR_OP = 101, + CUBLAS_GEMM_ALGO2_TENSOR_OP = 102, + CUBLAS_GEMM_ALGO3_TENSOR_OP = 103, + CUBLAS_GEMM_ALGO4_TENSOR_OP = 104, + CUBLAS_GEMM_ALGO5_TENSOR_OP = 105, + CUBLAS_GEMM_ALGO6_TENSOR_OP = 106, + CUBLAS_GEMM_ALGO7_TENSOR_OP = 107, + CUBLAS_GEMM_ALGO8_TENSOR_OP = 108, + CUBLAS_GEMM_ALGO9_TENSOR_OP = 109, + CUBLAS_GEMM_ALGO10_TENSOR_OP = 110, + CUBLAS_GEMM_ALGO11_TENSOR_OP = 111, + CUBLAS_GEMM_ALGO12_TENSOR_OP = 112, + CUBLAS_GEMM_ALGO13_TENSOR_OP = 113, + CUBLAS_GEMM_ALGO14_TENSOR_OP = 114, + CUBLAS_GEMM_ALGO15_TENSOR_OP = 115 +} cublasGemmAlgo_t; + +/*Enum for default math mode/tensor operation*/ +typedef enum { + CUBLAS_DEFAULT_MATH = 0, + + /* deprecated, same effect as using CUBLAS_COMPUTE_32F_FAST_16F, will be removed in a future release */ + CUBLAS_TENSOR_OP_MATH = 1, + + /* same as using matching _PEDANTIC compute type when using cublasroutine calls or cublasEx() calls with + cudaDataType as compute type */ + CUBLAS_PEDANTIC_MATH = 2, + + /* allow accelerating single precision routines using TF32 tensor cores */ + CUBLAS_TF32_TENSOR_OP_MATH = 3, + + /* flag to force any reductons to use the accumulator type and not output type in case of mixed precision routines + with lower size output type */ + CUBLAS_MATH_DISALLOW_REDUCED_PRECISION_REDUCTION = 16, +} cublasMath_t; + +/* For backward compatibility purposes */ +typedef cudaDataType cublasDataType_t; + +/* Enum for compute type + * + * - default types provide best available performance using all available hardware features + * and guarantee internal storage precision with at least the same precision and range; + * - _PEDANTIC types ensure standard arithmetic and exact specified internal storage format; + * - _FAST types allow for some loss of precision to enable higher throughput arithmetic. + */ +typedef enum { + CUBLAS_COMPUTE_16F = 64, /* half - default */ + CUBLAS_COMPUTE_16F_PEDANTIC = 65, /* half - pedantic */ + CUBLAS_COMPUTE_32F = 68, /* float - default */ + CUBLAS_COMPUTE_32F_PEDANTIC = 69, /* float - pedantic */ + CUBLAS_COMPUTE_32F_FAST_16F = 74, /* float - fast, allows down-converting inputs to half or TF32 */ + CUBLAS_COMPUTE_32F_FAST_16BF = 75, /* float - fast, allows down-converting inputs to bfloat16 or TF32 */ + CUBLAS_COMPUTE_32F_FAST_TF32 = 77, /* float - fast, allows down-converting inputs to TF32 */ + CUBLAS_COMPUTE_64F = 70, /* double - default */ + CUBLAS_COMPUTE_64F_PEDANTIC = 71, /* double - pedantic */ + CUBLAS_COMPUTE_32I = 72, /* signed 32-bit int - default */ + CUBLAS_COMPUTE_32I_PEDANTIC = 73, /* signed 32-bit int - pedantic */ +} cublasComputeType_t; + +/* Opaque structure holding CUBLAS library context */ +struct cublasContext; +typedef struct cublasContext* cublasHandle_t; + +/* Cublas logging */ +typedef void (*cublasLogCallback)(const char* msg); + +/* cuBLAS Exported API {{{ */ + +/* --------------- CUBLAS Helper Functions ---------------- */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCreate_v2(cublasHandle_t* handle); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDestroy_v2(cublasHandle_t handle); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetVersion_v2(cublasHandle_t handle, int* version); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetProperty(libraryPropertyType type, int* value); + +CUBLASAPI size_t CUBLASWINAPI cublasGetCudartVersion(void); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetWorkspace_v2(cublasHandle_t handle, + void* workspace, + size_t workspaceSizeInBytes); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetStream_v2(cublasHandle_t handle, cudaStream_t streamId); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetStream_v2(cublasHandle_t handle, cudaStream_t* streamId); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetPointerMode_v2(cublasHandle_t handle, cublasPointerMode_t* mode); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetPointerMode_v2(cublasHandle_t handle, cublasPointerMode_t mode); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetAtomicsMode(cublasHandle_t handle, cublasAtomicsMode_t* mode); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetAtomicsMode(cublasHandle_t handle, cublasAtomicsMode_t mode); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetMathMode(cublasHandle_t handle, cublasMath_t* mode); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetMathMode(cublasHandle_t handle, cublasMath_t mode); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetSmCountTarget(cublasHandle_t handle, int* smCountTarget); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetSmCountTarget(cublasHandle_t handle, int smCountTarget); + +CUBLASAPI const char* CUBLASWINAPI cublasGetStatusName(cublasStatus_t status); + +CUBLASAPI const char* CUBLASWINAPI cublasGetStatusString(cublasStatus_t status); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasLoggerConfigure(int logIsOn, + int logToStdOut, + int logToStdErr, + const char* logFileName); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSetLoggerCallback(cublasLogCallback userCallback); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGetLoggerCallback(cublasLogCallback* userCallback); + +cublasStatus_t CUBLASWINAPI cublasSetVector(int n, int elemSize, const void* x, int incx, void* devicePtr, int incy); + +cublasStatus_t CUBLASWINAPI +cublasSetVector_64(int64_t n, int64_t elemSize, const void* x, int64_t incx, void* devicePtr, int64_t incy); + +cublasStatus_t CUBLASWINAPI cublasGetVector(int n, int elemSize, const void* x, int incx, void* y, int incy); + +cublasStatus_t CUBLASWINAPI +cublasGetVector_64(int64_t n, int64_t elemSize, const void* x, int64_t incx, void* y, int64_t incy); + +cublasStatus_t CUBLASWINAPI cublasSetMatrix(int rows, int cols, int elemSize, const void* A, int lda, void* B, int ldb); + +cublasStatus_t CUBLASWINAPI +cublasSetMatrix_64(int64_t rows, int64_t cols, int64_t elemSize, const void* A, int64_t lda, void* B, int64_t ldb); + +cublasStatus_t CUBLASWINAPI cublasGetMatrix(int rows, int cols, int elemSize, const void* A, int lda, void* B, int ldb); + +cublasStatus_t CUBLASWINAPI +cublasGetMatrix_64(int64_t rows, int64_t cols, int64_t elemSize, const void* A, int64_t lda, void* B, int64_t ldb); + +cublasStatus_t CUBLASWINAPI cublasSetVectorAsync( + int n, int elemSize, const void* hostPtr, int incx, void* devicePtr, int incy, cudaStream_t stream); + +cublasStatus_t CUBLASWINAPI cublasSetVectorAsync_64( + int64_t n, int64_t elemSize, const void* hostPtr, int64_t incx, void* devicePtr, int64_t incy, cudaStream_t stream); + +cublasStatus_t CUBLASWINAPI cublasGetVectorAsync( + int n, int elemSize, const void* devicePtr, int incx, void* hostPtr, int incy, cudaStream_t stream); + +cublasStatus_t CUBLASWINAPI cublasGetVectorAsync_64( + int64_t n, int64_t elemSize, const void* devicePtr, int64_t incx, void* hostPtr, int64_t incy, cudaStream_t stream); + +cublasStatus_t CUBLASWINAPI +cublasSetMatrixAsync(int rows, int cols, int elemSize, const void* A, int lda, void* B, int ldb, cudaStream_t stream); + +cublasStatus_t CUBLASWINAPI cublasSetMatrixAsync_64(int64_t rows, + int64_t cols, + int64_t elemSize, + const void* A, + int64_t lda, + void* B, + int64_t ldb, + cudaStream_t stream); + +cublasStatus_t CUBLASWINAPI +cublasGetMatrixAsync(int rows, int cols, int elemSize, const void* A, int lda, void* B, int ldb, cudaStream_t stream); + +cublasStatus_t CUBLASWINAPI cublasGetMatrixAsync_64(int64_t rows, + int64_t cols, + int64_t elemSize, + const void* A, + int64_t lda, + void* B, + int64_t ldb, + cudaStream_t stream); + +CUBLASAPI void CUBLASWINAPI cublasXerbla(const char* srName, int info); + +/* --------------- CUBLAS BLAS1 Functions ---------------- */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasNrm2Ex(cublasHandle_t handle, + int n, + const void* x, + cudaDataType xType, + int incx, + void* result, + cudaDataType resultType, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasNrm2Ex_64(cublasHandle_t handle, + int64_t n, + const void* x, + cudaDataType xType, + int64_t incx, + void* result, + cudaDataType resultType, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSnrm2_v2(cublasHandle_t handle, int n, const float* x, int incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSnrm2_v2_64(cublasHandle_t handle, int64_t n, const float* x, int64_t incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDnrm2_v2(cublasHandle_t handle, int n, const double* x, int incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDnrm2_v2_64(cublasHandle_t handle, int64_t n, const double* x, int64_t incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasScnrm2_v2(cublasHandle_t handle, int n, const cuComplex* x, int incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasScnrm2_v2_64(cublasHandle_t handle, int64_t n, const cuComplex* x, int64_t incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDznrm2_v2(cublasHandle_t handle, int n, const cuDoubleComplex* x, int incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDznrm2_v2_64(cublasHandle_t handle, int64_t n, const cuDoubleComplex* x, int64_t incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDotEx(cublasHandle_t handle, + int n, + const void* x, + cudaDataType xType, + int incx, + const void* y, + cudaDataType yType, + int incy, + void* result, + cudaDataType resultType, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDotEx_64(cublasHandle_t handle, + int64_t n, + const void* x, + cudaDataType xType, + int64_t incx, + const void* y, + cudaDataType yType, + int64_t incy, + void* result, + cudaDataType resultType, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDotcEx(cublasHandle_t handle, + int n, + const void* x, + cudaDataType xType, + int incx, + const void* y, + cudaDataType yType, + int incy, + void* result, + cudaDataType resultType, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDotcEx_64(cublasHandle_t handle, + int64_t n, + const void* x, + cudaDataType xType, + int64_t incx, + const void* y, + cudaDataType yType, + int64_t incy, + void* result, + cudaDataType resultType, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSdot_v2(cublasHandle_t handle, int n, const float* x, int incx, const float* y, int incy, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSdot_v2_64( + cublasHandle_t handle, int64_t n, const float* x, int64_t incx, const float* y, int64_t incy, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDdot_v2(cublasHandle_t handle, int n, const double* x, int incx, const double* y, int incy, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDdot_v2_64( + cublasHandle_t handle, int64_t n, const double* x, int64_t incx, const double* y, int64_t incy, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCdotu_v2( + cublasHandle_t handle, int n, const cuComplex* x, int incx, const cuComplex* y, int incy, cuComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCdotu_v2_64(cublasHandle_t handle, + int64_t n, + const cuComplex* x, + int64_t incx, + const cuComplex* y, + int64_t incy, + cuComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCdotc_v2( + cublasHandle_t handle, int n, const cuComplex* x, int incx, const cuComplex* y, int incy, cuComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCdotc_v2_64(cublasHandle_t handle, + int64_t n, + const cuComplex* x, + int64_t incx, + const cuComplex* y, + int64_t incy, + cuComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdotu_v2(cublasHandle_t handle, + int n, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdotu_v2_64(cublasHandle_t handle, + int64_t n, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* y, + int64_t incy, + cuDoubleComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdotc_v2(cublasHandle_t handle, + int n, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdotc_v2_64(cublasHandle_t handle, + int64_t n, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* y, + int64_t incy, + cuDoubleComplex* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasScalEx(cublasHandle_t handle, + int n, + const void* alpha, + cudaDataType alphaType, + void* x, + cudaDataType xType, + int incx, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasScalEx_64(cublasHandle_t handle, + int64_t n, + const void* alpha, + cudaDataType alphaType, + void* x, + cudaDataType xType, + int64_t incx, + cudaDataType executionType); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSscal_v2(cublasHandle_t handle, int n, const float* alpha, float* x, int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSscal_v2_64(cublasHandle_t handle, int64_t n, const float* alpha, float* x, int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDscal_v2(cublasHandle_t handle, int n, const double* alpha, double* x, int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDscal_v2_64(cublasHandle_t handle, int64_t n, const double* alpha, double* x, int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCscal_v2(cublasHandle_t handle, int n, const cuComplex* alpha, cuComplex* x, int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCscal_v2_64(cublasHandle_t handle, int64_t n, const cuComplex* alpha, cuComplex* x, int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCsscal_v2(cublasHandle_t handle, int n, const float* alpha, cuComplex* x, int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCsscal_v2_64(cublasHandle_t handle, int64_t n, const float* alpha, cuComplex* x, int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZscal_v2(cublasHandle_t handle, int n, const cuDoubleComplex* alpha, cuDoubleComplex* x, int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZscal_v2_64(cublasHandle_t handle, int64_t n, const cuDoubleComplex* alpha, cuDoubleComplex* x, int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZdscal_v2(cublasHandle_t handle, int n, const double* alpha, cuDoubleComplex* x, int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZdscal_v2_64(cublasHandle_t handle, int64_t n, const double* alpha, cuDoubleComplex* x, int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasAxpyEx(cublasHandle_t handle, + int n, + const void* alpha, + cudaDataType alphaType, + const void* x, + cudaDataType xType, + int incx, + void* y, + cudaDataType yType, + int incy, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasAxpyEx_64(cublasHandle_t handle, + int64_t n, + const void* alpha, + cudaDataType alphaType, + const void* x, + cudaDataType xType, + int64_t incx, + void* y, + cudaDataType yType, + int64_t incy, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSaxpy_v2(cublasHandle_t handle, int n, const float* alpha, const float* x, int incx, float* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSaxpy_v2_64( + cublasHandle_t handle, int64_t n, const float* alpha, const float* x, int64_t incx, float* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDaxpy_v2(cublasHandle_t handle, int n, const double* alpha, const double* x, int incx, double* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDaxpy_v2_64( + cublasHandle_t handle, int64_t n, const double* alpha, const double* x, int64_t incx, double* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCaxpy_v2( + cublasHandle_t handle, int n, const cuComplex* alpha, const cuComplex* x, int incx, cuComplex* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCaxpy_v2_64(cublasHandle_t handle, + int64_t n, + const cuComplex* alpha, + const cuComplex* x, + int64_t incx, + cuComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZaxpy_v2(cublasHandle_t handle, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZaxpy_v2_64(cublasHandle_t handle, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int64_t incx, + cuDoubleComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCopyEx( + cublasHandle_t handle, int n, const void* x, cudaDataType xType, int incx, void* y, cudaDataType yType, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCopyEx_64(cublasHandle_t handle, + int64_t n, + const void* x, + cudaDataType xType, + int64_t incx, + void* y, + cudaDataType yType, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasScopy_v2(cublasHandle_t handle, int n, const float* x, int incx, float* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasScopy_v2_64(cublasHandle_t handle, int64_t n, const float* x, int64_t incx, float* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDcopy_v2(cublasHandle_t handle, int n, const double* x, int incx, double* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDcopy_v2_64(cublasHandle_t handle, int64_t n, const double* x, int64_t incx, double* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCcopy_v2(cublasHandle_t handle, int n, const cuComplex* x, int incx, cuComplex* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCcopy_v2_64(cublasHandle_t handle, int64_t n, const cuComplex* x, int64_t incx, cuComplex* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZcopy_v2(cublasHandle_t handle, int n, const cuDoubleComplex* x, int incx, cuDoubleComplex* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZcopy_v2_64( + cublasHandle_t handle, int64_t n, const cuDoubleComplex* x, int64_t incx, cuDoubleComplex* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSswap_v2(cublasHandle_t handle, int n, float* x, int incx, float* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSswap_v2_64(cublasHandle_t handle, int64_t n, float* x, int64_t incx, float* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDswap_v2(cublasHandle_t handle, int n, double* x, int incx, double* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDswap_v2_64(cublasHandle_t handle, int64_t n, double* x, int64_t incx, double* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCswap_v2(cublasHandle_t handle, int n, cuComplex* x, int incx, cuComplex* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCswap_v2_64(cublasHandle_t handle, int64_t n, cuComplex* x, int64_t incx, cuComplex* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZswap_v2(cublasHandle_t handle, int n, cuDoubleComplex* x, int incx, cuDoubleComplex* y, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZswap_v2_64(cublasHandle_t handle, int64_t n, cuDoubleComplex* x, int64_t incx, cuDoubleComplex* y, int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSwapEx( + cublasHandle_t handle, int n, void* x, cudaDataType xType, int incx, void* y, cudaDataType yType, int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSwapEx_64(cublasHandle_t handle, + int64_t n, + void* x, + cudaDataType xType, + int64_t incx, + void* y, + cudaDataType yType, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIsamax_v2(cublasHandle_t handle, int n, const float* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIsamax_v2_64(cublasHandle_t handle, int64_t n, const float* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIdamax_v2(cublasHandle_t handle, int n, const double* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIdamax_v2_64(cublasHandle_t handle, int64_t n, const double* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIcamax_v2(cublasHandle_t handle, int n, const cuComplex* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIcamax_v2_64(cublasHandle_t handle, int64_t n, const cuComplex* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIzamax_v2(cublasHandle_t handle, int n, const cuDoubleComplex* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIzamax_v2_64(cublasHandle_t handle, int64_t n, const cuDoubleComplex* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIamaxEx(cublasHandle_t handle, int n, const void* x, cudaDataType xType, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIamaxEx_64(cublasHandle_t handle, int64_t n, const void* x, cudaDataType xType, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIsamin_v2(cublasHandle_t handle, int n, const float* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIsamin_v2_64(cublasHandle_t handle, int64_t n, const float* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIdamin_v2(cublasHandle_t handle, int n, const double* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIdamin_v2_64(cublasHandle_t handle, int64_t n, const double* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIcamin_v2(cublasHandle_t handle, int n, const cuComplex* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIcamin_v2_64(cublasHandle_t handle, int64_t n, const cuComplex* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIzamin_v2(cublasHandle_t handle, int n, const cuDoubleComplex* x, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIzamin_v2_64(cublasHandle_t handle, int64_t n, const cuDoubleComplex* x, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIaminEx(cublasHandle_t handle, int n, const void* x, cudaDataType xType, int incx, int* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasIaminEx_64(cublasHandle_t handle, int64_t n, const void* x, cudaDataType xType, int64_t incx, int64_t* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasAsumEx(cublasHandle_t handle, + int n, + const void* x, + cudaDataType xType, + int incx, + void* result, + cudaDataType resultType, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasAsumEx_64(cublasHandle_t handle, + int64_t n, + const void* x, + cudaDataType xType, + int64_t incx, + void* result, + cudaDataType resultType, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSasum_v2(cublasHandle_t handle, int n, const float* x, int incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSasum_v2_64(cublasHandle_t handle, int64_t n, const float* x, int64_t incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDasum_v2(cublasHandle_t handle, int n, const double* x, int incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDasum_v2_64(cublasHandle_t handle, int64_t n, const double* x, int64_t incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasScasum_v2(cublasHandle_t handle, int n, const cuComplex* x, int incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasScasum_v2_64(cublasHandle_t handle, int64_t n, const cuComplex* x, int64_t incx, float* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDzasum_v2(cublasHandle_t handle, int n, const cuDoubleComplex* x, int incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDzasum_v2_64(cublasHandle_t handle, int64_t n, const cuDoubleComplex* x, int64_t incx, double* result); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSrot_v2(cublasHandle_t handle, int n, float* x, int incx, float* y, int incy, const float* c, const float* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSrot_v2_64( + cublasHandle_t handle, int64_t n, float* x, int64_t incx, float* y, int64_t incy, const float* c, const float* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDrot_v2(cublasHandle_t handle, int n, double* x, int incx, double* y, int incy, const double* c, const double* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDrot_v2_64(cublasHandle_t handle, + int64_t n, + double* x, + int64_t incx, + double* y, + int64_t incy, + const double* c, + const double* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCrot_v2( + cublasHandle_t handle, int n, cuComplex* x, int incx, cuComplex* y, int incy, const float* c, const cuComplex* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCrot_v2_64(cublasHandle_t handle, + int64_t n, + cuComplex* x, + int64_t incx, + cuComplex* y, + int64_t incy, + const float* c, + const cuComplex* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsrot_v2( + cublasHandle_t handle, int n, cuComplex* x, int incx, cuComplex* y, int incy, const float* c, const float* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsrot_v2_64(cublasHandle_t handle, + int64_t n, + cuComplex* x, + int64_t incx, + cuComplex* y, + int64_t incy, + const float* c, + const float* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZrot_v2(cublasHandle_t handle, + int n, + cuDoubleComplex* x, + int incx, + cuDoubleComplex* y, + int incy, + const double* c, + const cuDoubleComplex* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZrot_v2_64(cublasHandle_t handle, + int64_t n, + cuDoubleComplex* x, + int64_t incx, + cuDoubleComplex* y, + int64_t incy, + const double* c, + const cuDoubleComplex* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdrot_v2(cublasHandle_t handle, + int n, + cuDoubleComplex* x, + int incx, + cuDoubleComplex* y, + int incy, + const double* c, + const double* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdrot_v2_64(cublasHandle_t handle, + int64_t n, + cuDoubleComplex* x, + int64_t incx, + cuDoubleComplex* y, + int64_t incy, + const double* c, + const double* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasRotEx(cublasHandle_t handle, + int n, + void* x, + cudaDataType xType, + int incx, + void* y, + cudaDataType yType, + int incy, + const void* c, + const void* s, + cudaDataType csType, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasRotEx_64(cublasHandle_t handle, + int64_t n, + void* x, + cudaDataType xType, + int64_t incx, + void* y, + cudaDataType yType, + int64_t incy, + const void* c, + const void* s, + cudaDataType csType, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSrotg_v2(cublasHandle_t handle, float* a, float* b, float* c, float* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDrotg_v2(cublasHandle_t handle, double* a, double* b, double* c, double* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCrotg_v2(cublasHandle_t handle, cuComplex* a, cuComplex* b, float* c, cuComplex* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasZrotg_v2(cublasHandle_t handle, cuDoubleComplex* a, cuDoubleComplex* b, double* c, cuDoubleComplex* s); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasRotgEx(cublasHandle_t handle, + void* a, + void* b, + cudaDataType abType, + void* c, + void* s, + cudaDataType csType, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSrotm_v2(cublasHandle_t handle, int n, float* x, int incx, float* y, int incy, const float* param); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSrotm_v2_64(cublasHandle_t handle, int64_t n, float* x, int64_t incx, float* y, int64_t incy, const float* param); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDrotm_v2(cublasHandle_t handle, int n, double* x, int incx, double* y, int incy, const double* param); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDrotm_v2_64( + cublasHandle_t handle, int64_t n, double* x, int64_t incx, double* y, int64_t incy, const double* param); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasRotmEx(cublasHandle_t handle, + int n, + void* x, + cudaDataType xType, + int incx, + void* y, + cudaDataType yType, + int incy, + const void* param, + cudaDataType paramType, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasRotmEx_64(cublasHandle_t handle, + int64_t n, + void* x, + cudaDataType xType, + int64_t incx, + void* y, + cudaDataType yType, + int64_t incy, + const void* param, + cudaDataType paramType, + cudaDataType executiontype); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSrotmg_v2(cublasHandle_t handle, float* d1, float* d2, float* x1, const float* y1, float* param); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDrotmg_v2(cublasHandle_t handle, double* d1, double* d2, double* x1, const double* y1, double* param); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasRotmgEx(cublasHandle_t handle, + void* d1, + cudaDataType d1Type, + void* d2, + cudaDataType d2Type, + void* x1, + cudaDataType x1Type, + const void* y1, + cudaDataType y1Type, + void* param, + cudaDataType paramType, + cudaDataType executiontype); + +/* --------------- CUBLAS BLAS2 Functions ---------------- */ + +/* GEMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const float* A, + int lda, + const float* x, + int incx, + const float* beta, + float* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const float* A, + int64_t lda, + const float* x, + int64_t incx, + const float* beta, + float* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const double* alpha, + const double* A, + int lda, + const double* x, + int incx, + const double* beta, + double* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const double* alpha, + const double* A, + int64_t lda, + const double* x, + int64_t incx, + const double* beta, + double* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + const cuComplex* beta, + cuComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* x, + int64_t incx, + const cuComplex* beta, + cuComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int64_t incy); + +/* GBMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgbmv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int kl, + int ku, + const float* alpha, + const float* A, + int lda, + const float* x, + int incx, + const float* beta, + float* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgbmv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + int64_t kl, + int64_t ku, + const float* alpha, + const float* A, + int64_t lda, + const float* x, + int64_t incx, + const float* beta, + float* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgbmv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int kl, + int ku, + const double* alpha, + const double* A, + int lda, + const double* x, + int incx, + const double* beta, + double* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgbmv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + int64_t kl, + int64_t ku, + const double* alpha, + const double* A, + int64_t lda, + const double* x, + int64_t incx, + const double* beta, + double* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgbmv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int kl, + int ku, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + const cuComplex* beta, + cuComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgbmv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + int64_t kl, + int64_t ku, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* x, + int64_t incx, + const cuComplex* beta, + cuComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgbmv_v2(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int kl, + int ku, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgbmv_v2_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + int64_t kl, + int64_t ku, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int64_t incy); + +/* TRMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const float* A, + int lda, + float* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const float* A, + int64_t lda, + float* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const double* A, + int lda, + double* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const double* A, + int64_t lda, + double* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuComplex* A, + int lda, + cuComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuComplex* A, + int64_t lda, + cuComplex* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuDoubleComplex* A, + int64_t lda, + cuDoubleComplex* x, + int64_t incx); + +/* TBMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const float* A, + int lda, + float* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const float* A, + int64_t lda, + float* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const double* A, + int lda, + double* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const double* A, + int64_t lda, + double* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const cuComplex* A, + int lda, + cuComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const cuComplex* A, + int64_t lda, + cuComplex* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const cuDoubleComplex* A, + int64_t lda, + cuDoubleComplex* x, + int64_t incx); + +/* TPMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStpmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const float* AP, + float* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStpmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const float* AP, + float* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtpmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const double* AP, + double* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtpmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const double* AP, + double* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtpmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuComplex* AP, + cuComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtpmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuComplex* AP, + cuComplex* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtpmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuDoubleComplex* AP, + cuDoubleComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtpmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuDoubleComplex* AP, + cuDoubleComplex* x, + int64_t incx); + +/* TRSV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const float* A, + int lda, + float* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const float* A, + int64_t lda, + float* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const double* A, + int lda, + double* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const double* A, + int64_t lda, + double* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuComplex* A, + int lda, + cuComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuComplex* A, + int64_t lda, + cuComplex* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuDoubleComplex* A, + int64_t lda, + cuDoubleComplex* x, + int64_t incx); + +/* TPSV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStpsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const float* AP, + float* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStpsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const float* AP, + float* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtpsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const double* AP, + double* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtpsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const double* AP, + double* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtpsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuComplex* AP, + cuComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtpsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuComplex* AP, + cuComplex* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtpsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + const cuDoubleComplex* AP, + cuDoubleComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtpsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + const cuDoubleComplex* AP, + cuDoubleComplex* x, + int64_t incx); + +/* TBSV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStbsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const float* A, + int lda, + float* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStbsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const float* A, + int64_t lda, + float* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtbsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const double* A, + int lda, + double* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtbsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const double* A, + int64_t lda, + double* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtbsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const cuComplex* A, + int lda, + cuComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtbsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const cuComplex* A, + int64_t lda, + cuComplex* x, + int64_t incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtbsv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int n, + int k, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex* x, + int incx); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtbsv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t n, + int64_t k, + const cuDoubleComplex* A, + int64_t lda, + cuDoubleComplex* x, + int64_t incx); + +/* SYMV/HEMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsymv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const float* alpha, + const float* A, + int lda, + const float* x, + int incx, + const float* beta, + float* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsymv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const float* A, + int64_t lda, + const float* x, + int64_t incx, + const float* beta, + float* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsymv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const double* alpha, + const double* A, + int lda, + const double* x, + int incx, + const double* beta, + double* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsymv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const double* A, + int64_t lda, + const double* x, + int64_t incx, + const double* beta, + double* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsymv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + const cuComplex* beta, + cuComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsymv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* x, + int64_t incx, + const cuComplex* beta, + cuComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsymv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsymv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChemv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + const cuComplex* beta, + cuComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChemv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* x, + int64_t incx, + const cuComplex* beta, + cuComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhemv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhemv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int64_t incy); + +/* SBMV/HBMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + int k, + const float* alpha, + const float* A, + int lda, + const float* x, + int incx, + const float* beta, + float* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + int64_t k, + const float* alpha, + const float* A, + int64_t lda, + const float* x, + int64_t incx, + const float* beta, + float* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + int k, + const double* alpha, + const double* A, + int lda, + const double* x, + int incx, + const double* beta, + double* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + int64_t k, + const double* alpha, + const double* A, + int64_t lda, + const double* x, + int64_t incx, + const double* beta, + double* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + const cuComplex* beta, + cuComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* x, + int64_t incx, + const cuComplex* beta, + cuComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhbmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhbmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int64_t incy); + +/* SPMV/HPMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSspmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const float* alpha, + const float* AP, + const float* x, + int incx, + const float* beta, + float* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSspmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const float* AP, + const float* x, + int64_t incx, + const float* beta, + float* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDspmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const double* alpha, + const double* AP, + const double* x, + int incx, + const double* beta, + double* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDspmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const double* AP, + const double* x, + int64_t incx, + const double* beta, + double* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChpmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex* alpha, + const cuComplex* AP, + const cuComplex* x, + int incx, + const cuComplex* beta, + cuComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChpmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuComplex* alpha, + const cuComplex* AP, + const cuComplex* x, + int64_t incx, + const cuComplex* beta, + cuComplex* y, + int64_t incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhpmv_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* AP, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int incy); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhpmv_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* AP, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int64_t incy); + +/* GER */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSger_v2(cublasHandle_t handle, + int m, + int n, + const float* alpha, + const float* x, + int incx, + const float* y, + int incy, + float* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSger_v2_64(cublasHandle_t handle, + int64_t m, + int64_t n, + const float* alpha, + const float* x, + int64_t incx, + const float* y, + int64_t incy, + float* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDger_v2(cublasHandle_t handle, + int m, + int n, + const double* alpha, + const double* x, + int incx, + const double* y, + int incy, + double* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDger_v2_64(cublasHandle_t handle, + int64_t m, + int64_t n, + const double* alpha, + const double* x, + int64_t incx, + const double* y, + int64_t incy, + double* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgeru_v2(cublasHandle_t handle, + int m, + int n, + const cuComplex* alpha, + const cuComplex* x, + int incx, + const cuComplex* y, + int incy, + cuComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgeru_v2_64(cublasHandle_t handle, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* x, + int64_t incx, + const cuComplex* y, + int64_t incy, + cuComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgerc_v2(cublasHandle_t handle, + int m, + int n, + const cuComplex* alpha, + const cuComplex* x, + int incx, + const cuComplex* y, + int incy, + cuComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgerc_v2_64(cublasHandle_t handle, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* x, + int64_t incx, + const cuComplex* y, + int64_t incy, + cuComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgeru_v2(cublasHandle_t handle, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgeru_v2_64(cublasHandle_t handle, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* y, + int64_t incy, + cuDoubleComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgerc_v2(cublasHandle_t handle, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgerc_v2_64(cublasHandle_t handle, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* y, + int64_t incy, + cuDoubleComplex* A, + int64_t lda); + +/* SYR/HER */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyr_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const float* alpha, + const float* x, + int incx, + float* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const float* x, + int64_t incx, + float* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyr_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const double* alpha, + const double* x, + int incx, + double* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const double* x, + int64_t incx, + double* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyr_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex* alpha, + const cuComplex* x, + int incx, + cuComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuComplex* alpha, + const cuComplex* x, + int64_t incx, + cuComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyr_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int64_t incx, + cuDoubleComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCher_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const float* alpha, + const cuComplex* x, + int incx, + cuComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCher_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const cuComplex* x, + int64_t incx, + cuComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZher_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const double* alpha, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZher_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const cuDoubleComplex* x, + int64_t incx, + cuDoubleComplex* A, + int64_t lda); + +/* SPR/HPR */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSspr_v2( + cublasHandle_t handle, cublasFillMode_t uplo, int n, const float* alpha, const float* x, int incx, float* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSspr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const float* x, + int64_t incx, + float* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDspr_v2( + cublasHandle_t handle, cublasFillMode_t uplo, int n, const double* alpha, const double* x, int incx, double* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDspr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const double* x, + int64_t incx, + double* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChpr_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const float* alpha, + const cuComplex* x, + int incx, + cuComplex* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChpr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const cuComplex* x, + int64_t incx, + cuComplex* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhpr_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const double* alpha, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhpr_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const cuDoubleComplex* x, + int64_t incx, + cuDoubleComplex* AP); + +/* SYR2/HER2 */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const float* alpha, + const float* x, + int incx, + const float* y, + int incy, + float* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const float* x, + int64_t incx, + const float* y, + int64_t incy, + float* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const double* alpha, + const double* x, + int incx, + const double* y, + int incy, + double* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const double* x, + int64_t incx, + const double* y, + int64_t incy, + double* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex* alpha, + const cuComplex* x, + int incx, + const cuComplex* y, + int incy, + cuComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuComplex* alpha, + const cuComplex* x, + int64_t incx, + const cuComplex* y, + int64_t incy, + cuComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* y, + int64_t incy, + cuDoubleComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCher2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex* alpha, + const cuComplex* x, + int incx, + const cuComplex* y, + int incy, + cuComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCher2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuComplex* alpha, + const cuComplex* x, + int64_t incx, + const cuComplex* y, + int64_t incy, + cuComplex* A, + int64_t lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZher2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* A, + int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZher2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* y, + int64_t incy, + cuDoubleComplex* A, + int64_t lda); + +/* SPR2/HPR2 */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSspr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const float* alpha, + const float* x, + int incx, + const float* y, + int incy, + float* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSspr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const float* alpha, + const float* x, + int64_t incx, + const float* y, + int64_t incy, + float* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDspr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const double* alpha, + const double* x, + int incx, + const double* y, + int incy, + double* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDspr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const double* alpha, + const double* x, + int64_t incx, + const double* y, + int64_t incy, + double* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChpr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex* alpha, + const cuComplex* x, + int incx, + const cuComplex* y, + int incy, + cuComplex* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChpr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuComplex* alpha, + const cuComplex* x, + int64_t incx, + const cuComplex* y, + int64_t incy, + cuComplex* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhpr2_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int incx, + const cuDoubleComplex* y, + int incy, + cuDoubleComplex* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhpr2_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* x, + int64_t incx, + const cuDoubleComplex* y, + int64_t incy, + cuDoubleComplex* AP); + +/* BATCH GEMV */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const float* const Aarray[], + int lda, + const float* const xarray[], + int incx, + const float* beta, + float* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const float* const Aarray[], + int64_t lda, + const float* const xarray[], + int64_t incx, + const float* beta, + float* const yarray[], + int64_t incy, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const double* alpha, + const double* const Aarray[], + int lda, + const double* const xarray[], + int incx, + const double* beta, + double* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const double* alpha, + const double* const Aarray[], + int64_t lda, + const double* const xarray[], + int64_t incx, + const double* beta, + double* const yarray[], + int64_t incy, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const cuComplex* alpha, + const cuComplex* const Aarray[], + int lda, + const cuComplex* const xarray[], + int incx, + const cuComplex* beta, + cuComplex* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* const Aarray[], + int64_t lda, + const cuComplex* const xarray[], + int64_t incx, + const cuComplex* beta, + cuComplex* const yarray[], + int64_t incy, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* const Aarray[], + int lda, + const cuDoubleComplex* const xarray[], + int incx, + const cuDoubleComplex* beta, + cuDoubleComplex* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* const Aarray[], + int64_t lda, + const cuDoubleComplex* const xarray[], + int64_t incx, + const cuDoubleComplex* beta, + cuDoubleComplex* const yarray[], + int64_t incy, + int64_t batchCount); + +#if defined(__cplusplus) + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSHgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __half* const Aarray[], + int lda, + const __half* const xarray[], + int incx, + const float* beta, + __half* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSHgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __half* const Aarray[], + int64_t lda, + const __half* const xarray[], + int64_t incx, + const float* beta, + __half* const yarray[], + int64_t incy, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSSgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __half* const Aarray[], + int lda, + const __half* const xarray[], + int incx, + const float* beta, + float* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSSgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __half* const Aarray[], + int64_t lda, + const __half* const xarray[], + int64_t incx, + const float* beta, + float* const yarray[], + int64_t incy, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSTgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __nv_bfloat16* const Aarray[], + int lda, + const __nv_bfloat16* const xarray[], + int incx, + const float* beta, + __nv_bfloat16* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSTgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __nv_bfloat16* const Aarray[], + int64_t lda, + const __nv_bfloat16* const xarray[], + int64_t incx, + const float* beta, + __nv_bfloat16* const yarray[], + int64_t incy, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSSgemvBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __nv_bfloat16* const Aarray[], + int lda, + const __nv_bfloat16* const xarray[], + int incx, + const float* beta, + float* const yarray[], + int incy, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSSgemvBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __nv_bfloat16* const Aarray[], + int64_t lda, + const __nv_bfloat16* const xarray[], + int64_t incx, + const float* beta, + float* const yarray[], + int64_t incy, + int64_t batchCount); + +#endif + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const float* A, + int lda, + long long int strideA, + const float* x, + int incx, + long long int stridex, + const float* beta, + float* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const float* A, + int64_t lda, + long long int strideA, + const float* x, + int64_t incx, + long long int stridex, + const float* beta, + float* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const double* alpha, + const double* A, + int lda, + long long int strideA, + const double* x, + int incx, + long long int stridex, + const double* beta, + double* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const double* alpha, + const double* A, + int64_t lda, + long long int strideA, + const double* x, + int64_t incx, + long long int stridex, + const double* beta, + double* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + long long int strideA, + const cuComplex* x, + int incx, + long long int stridex, + const cuComplex* beta, + cuComplex* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + long long int strideA, + const cuComplex* x, + int64_t incx, + long long int stridex, + const cuComplex* beta, + cuComplex* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + long long int strideA, + const cuDoubleComplex* x, + int incx, + long long int stridex, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + long long int strideA, + const cuDoubleComplex* x, + int64_t incx, + long long int stridex, + const cuDoubleComplex* beta, + cuDoubleComplex* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +#if defined(__cplusplus) + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSHgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __half* A, + int lda, + long long int strideA, + const __half* x, + int incx, + long long int stridex, + const float* beta, + __half* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSHgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __half* A, + int64_t lda, + long long int strideA, + const __half* x, + int64_t incx, + long long int stridex, + const float* beta, + __half* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSSgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __half* A, + int lda, + long long int strideA, + const __half* x, + int incx, + long long int stridex, + const float* beta, + float* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHSSgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __half* A, + int64_t lda, + long long int strideA, + const __half* x, + int64_t incx, + long long int stridex, + const float* beta, + float* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSTgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __nv_bfloat16* A, + int lda, + long long int strideA, + const __nv_bfloat16* x, + int incx, + long long int stridex, + const float* beta, + __nv_bfloat16* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSTgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __nv_bfloat16* A, + int64_t lda, + long long int strideA, + const __nv_bfloat16* x, + int64_t incx, + long long int stridex, + const float* beta, + __nv_bfloat16* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSSgemvStridedBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + const float* alpha, + const __nv_bfloat16* A, + int lda, + long long int strideA, + const __nv_bfloat16* x, + int incx, + long long int stridex, + const float* beta, + float* y, + int incy, + long long int stridey, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasTSSgemvStridedBatched_64(cublasHandle_t handle, + cublasOperation_t trans, + int64_t m, + int64_t n, + const float* alpha, + const __nv_bfloat16* A, + int64_t lda, + long long int strideA, + const __nv_bfloat16* x, + int64_t incx, + long long int stridex, + const float* beta, + float* y, + int64_t incy, + long long int stridey, + int64_t batchCount); + +#endif + +/* ---------------- CUBLAS BLAS3 Functions ---------------- */ + +/* GEMM */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemm_v2(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const float* alpha, + const float* A, + int lda, + const float* B, + int ldb, + const float* beta, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemm_v2_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const float* alpha, + const float* A, + int64_t lda, + const float* B, + int64_t ldb, + const float* beta, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemm_v2(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const double* alpha, + const double* A, + int lda, + const double* B, + int ldb, + const double* beta, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemm_v2_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const double* alpha, + const double* A, + int64_t lda, + const double* B, + int64_t ldb, + const double* beta, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm_v2(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const cuComplex* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm_v2_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const cuComplex* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3m(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const cuComplex* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3m_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const cuComplex* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3mEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int lda, + const void* B, + cudaDataType Btype, + int ldb, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3mEx_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const void* B, + cudaDataType Btype, + int64_t ldb, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemm_v2(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemm_v2_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemm3m(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemm3m_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc); + +#if defined(__cplusplus) + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemm(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const __half* alpha, + const __half* A, + int lda, + const __half* B, + int ldb, + const __half* beta, + __half* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemm_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const __half* alpha, + const __half* A, + int64_t lda, + const __half* B, + int64_t ldb, + const __half* beta, + __half* C, + int64_t ldc); + +#endif + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const float* alpha, + const void* A, + cudaDataType Atype, + int lda, + const void* B, + cudaDataType Btype, + int ldb, + const float* beta, + void* C, + cudaDataType Ctype, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmEx_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const float* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const void* B, + cudaDataType Btype, + int64_t ldb, + const float* beta, + void* C, + cudaDataType Ctype, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const void* alpha, + const void* A, + cudaDataType Atype, + int lda, + const void* B, + cudaDataType Btype, + int ldb, + const void* beta, + void* C, + cudaDataType Ctype, + int ldc, + cublasComputeType_t computeType, + cublasGemmAlgo_t algo); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmEx_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const void* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const void* B, + cudaDataType Btype, + int64_t ldb, + const void* beta, + void* C, + cudaDataType Ctype, + int64_t ldc, + cublasComputeType_t computeType, + cublasGemmAlgo_t algo); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int lda, + const void* B, + cudaDataType Btype, + int ldb, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmEx_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const void* B, + cudaDataType Btype, + int64_t ldb, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int64_t ldc); + +/* SYRK */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyrk_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const float* alpha, + const float* A, + int lda, + const float* beta, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyrk_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const float* alpha, + const float* A, + int64_t lda, + const float* beta, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyrk_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const double* alpha, + const double* A, + int lda, + const double* beta, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyrk_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const double* alpha, + const double* A, + int64_t lda, + const double* beta, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrk_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrk_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyrk_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyrk_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrkEx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int lda, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrkEx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrk3mEx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int lda, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrk3mEx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuComplex* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const cuComplex* beta, + void* C, + cudaDataType Ctype, + int64_t ldc); + +/* HERK */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherk_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const float* alpha, + const cuComplex* A, + int lda, + const float* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherk_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const float* alpha, + const cuComplex* A, + int64_t lda, + const float* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZherk_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const double* alpha, + const cuDoubleComplex* A, + int lda, + const double* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZherk_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const double* alpha, + const cuDoubleComplex* A, + int64_t lda, + const double* beta, + cuDoubleComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherkEx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const float* alpha, + const void* A, + cudaDataType Atype, + int lda, + const float* beta, + void* C, + cudaDataType Ctype, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherkEx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const float* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const float* beta, + void* C, + cudaDataType Ctype, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherk3mEx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const float* alpha, + const void* A, + cudaDataType Atype, + int lda, + const float* beta, + void* C, + cudaDataType Ctype, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherk3mEx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const float* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + const float* beta, + void* C, + cudaDataType Ctype, + int64_t ldc); + +/* SYR2K / HER2K */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyr2k_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const float* alpha, + const float* A, + int lda, + const float* B, + int ldb, + const float* beta, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyr2k_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const float* alpha, + const float* A, + int64_t lda, + const float* B, + int64_t ldb, + const float* beta, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyr2k_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const double* alpha, + const double* A, + int lda, + const double* B, + int ldb, + const double* beta, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyr2k_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const double* alpha, + const double* A, + int64_t lda, + const double* B, + int64_t ldb, + const double* beta, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyr2k_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const cuComplex* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyr2k_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const cuComplex* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyr2k_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyr2k_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCher2k_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const float* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCher2k_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const float* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZher2k_v2(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const double* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZher2k_v2_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const double* beta, + cuDoubleComplex* C, + int64_t ldc); + +/* SYRKX / HERKX */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyrkx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const float* alpha, + const float* A, + int lda, + const float* B, + int ldb, + const float* beta, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsyrkx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const float* alpha, + const float* A, + int64_t lda, + const float* B, + int64_t ldb, + const float* beta, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyrkx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const double* alpha, + const double* A, + int lda, + const double* B, + int ldb, + const double* beta, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsyrkx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const double* alpha, + const double* A, + int64_t lda, + const double* B, + int64_t ldb, + const double* beta, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrkx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const cuComplex* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsyrkx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const cuComplex* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyrkx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsyrkx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherkx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const float* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCherkx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const float* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZherkx(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const double* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZherkx_64(cublasHandle_t handle, + cublasFillMode_t uplo, + cublasOperation_t trans, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const double* beta, + cuDoubleComplex* C, + int64_t ldc); + +/* SYMM */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsymm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int m, + int n, + const float* alpha, + const float* A, + int lda, + const float* B, + int ldb, + const float* beta, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSsymm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int64_t m, + int64_t n, + const float* alpha, + const float* A, + int64_t lda, + const float* B, + int64_t ldb, + const float* beta, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsymm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int m, + int n, + const double* alpha, + const double* A, + int lda, + const double* B, + int ldb, + const double* beta, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDsymm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int64_t m, + int64_t n, + const double* alpha, + const double* A, + int64_t lda, + const double* B, + int64_t ldb, + const double* beta, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsymm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int m, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const cuComplex* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCsymm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const cuComplex* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsymm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZsymm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc); + +/* HEMM */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChemm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int m, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + const cuComplex* beta, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasChemm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + const cuComplex* beta, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhemm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZhemm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc); + +/* TRSM */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const float* alpha, + const float* A, + int lda, + float* B, + int ldb); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const float* alpha, + const float* A, + int64_t lda, + float* B, + int64_t ldb); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const double* alpha, + const double* A, + int lda, + double* B, + int ldb); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const double* alpha, + const double* A, + int64_t lda, + double* B, + int64_t ldb); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + cuComplex* B, + int ldb); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + cuComplex* B, + int64_t ldb); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + cuDoubleComplex* B, + int ldb); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + cuDoubleComplex* B, + int64_t ldb); + +/* TRMM */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrmm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const float* alpha, + const float* A, + int lda, + const float* B, + int ldb, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrmm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const float* alpha, + const float* A, + int64_t lda, + const float* B, + int64_t ldb, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrmm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const double* alpha, + const double* A, + int lda, + const double* B, + int ldb, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrmm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const double* alpha, + const double* A, + int64_t lda, + const double* B, + int64_t ldb, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrmm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* B, + int ldb, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrmm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* B, + int64_t ldb, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrmm_v2(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* B, + int ldb, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrmm_v2_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* B, + int64_t ldb, + cuDoubleComplex* C, + int64_t ldc); + +/* BATCH GEMM */ + +#if defined(__cplusplus) + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemmBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const __half* alpha, + const __half* const Aarray[], + int lda, + const __half* const Barray[], + int ldb, + const __half* beta, + __half* const Carray[], + int ldc, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemmBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const __half* alpha, + const __half* const Aarray[], + int64_t lda, + const __half* const Barray[], + int64_t ldb, + const __half* beta, + __half* const Carray[], + int64_t ldc, + int64_t batchCount); + +#endif + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const float* alpha, + const float* const Aarray[], + int lda, + const float* const Barray[], + int ldb, + const float* beta, + float* const Carray[], + int ldc, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const float* alpha, + const float* const Aarray[], + int64_t lda, + const float* const Barray[], + int64_t ldb, + const float* beta, + float* const Carray[], + int64_t ldc, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const double* alpha, + const double* const Aarray[], + int lda, + const double* const Barray[], + int ldb, + const double* beta, + double* const Carray[], + int ldc, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const double* alpha, + const double* const Aarray[], + int64_t lda, + const double* const Barray[], + int64_t ldb, + const double* beta, + double* const Carray[], + int64_t ldc, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const cuComplex* const Aarray[], + int lda, + const cuComplex* const Barray[], + int ldb, + const cuComplex* beta, + cuComplex* const Carray[], + int ldc, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* const Aarray[], + int64_t lda, + const cuComplex* const Barray[], + int64_t ldb, + const cuComplex* beta, + cuComplex* const Carray[], + int64_t ldc, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3mBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const cuComplex* const Aarray[], + int lda, + const cuComplex* const Barray[], + int ldb, + const cuComplex* beta, + cuComplex* const Carray[], + int ldc, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3mBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* const Aarray[], + int64_t lda, + const cuComplex* const Barray[], + int64_t ldb, + const cuComplex* beta, + cuComplex* const Carray[], + int64_t ldc, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* const Aarray[], + int lda, + const cuDoubleComplex* const Barray[], + int ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* const Carray[], + int ldc, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* const Aarray[], + int64_t lda, + const cuDoubleComplex* const Barray[], + int64_t ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* const Carray[], + int64_t ldc, + int64_t batchCount); + +#if defined(__cplusplus) + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemmStridedBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const __half* alpha, + const __half* A, + int lda, + long long int strideA, + const __half* B, + int ldb, + long long int strideB, + const __half* beta, + __half* C, + int ldc, + long long int strideC, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasHgemmStridedBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const __half* alpha, + const __half* A, + int64_t lda, + long long int strideA, + const __half* B, + int64_t ldb, + long long int strideB, + const __half* beta, + __half* C, + int64_t ldc, + long long int strideC, + int64_t batchCount); + +#endif + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmStridedBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const float* alpha, + const float* A, + int lda, + long long int strideA, + const float* B, + int ldb, + long long int strideB, + const float* beta, + float* C, + int ldc, + long long int strideC, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgemmStridedBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const float* alpha, + const float* A, + int64_t lda, + long long int strideA, + const float* B, + int64_t ldb, + long long int strideB, + const float* beta, + float* C, + int64_t ldc, + long long int strideC, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmStridedBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const double* alpha, + const double* A, + int lda, + long long int strideA, + const double* B, + int ldb, + long long int strideB, + const double* beta, + double* C, + int ldc, + long long int strideC, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgemmStridedBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const double* alpha, + const double* A, + int64_t lda, + long long int strideA, + const double* B, + int64_t ldb, + long long int strideB, + const double* beta, + double* C, + int64_t ldc, + long long int strideC, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmStridedBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + long long int strideA, + const cuComplex* B, + int ldb, + long long int strideB, + const cuComplex* beta, + cuComplex* C, + int ldc, + long long int strideC, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemmStridedBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + long long int strideA, + const cuComplex* B, + int64_t ldb, + long long int strideB, + const cuComplex* beta, + cuComplex* C, + int64_t ldc, + long long int strideC, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3mStridedBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuComplex* alpha, + const cuComplex* A, + int lda, + long long int strideA, + const cuComplex* B, + int ldb, + long long int strideB, + const cuComplex* beta, + cuComplex* C, + int ldc, + long long int strideC, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgemm3mStridedBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + long long int strideA, + const cuComplex* B, + int64_t ldb, + long long int strideB, + const cuComplex* beta, + cuComplex* C, + int64_t ldc, + long long int strideC, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmStridedBatched(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + long long int strideA, + const cuDoubleComplex* B, + int ldb, + long long int strideB, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int ldc, + long long int strideC, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgemmStridedBatched_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + long long int strideA, + const cuDoubleComplex* B, + int64_t ldb, + long long int strideB, + const cuDoubleComplex* beta, + cuDoubleComplex* C, + int64_t ldc, + long long int strideC, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmBatchedEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const void* alpha, + const void* const Aarray[], + cudaDataType Atype, + int lda, + const void* const Barray[], + cudaDataType Btype, + int ldb, + const void* beta, + void* const Carray[], + cudaDataType Ctype, + int ldc, + int batchCount, + cublasComputeType_t computeType, + cublasGemmAlgo_t algo); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmBatchedEx_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const void* alpha, + const void* const Aarray[], + cudaDataType Atype, + int64_t lda, + const void* const Barray[], + cudaDataType Btype, + int64_t ldb, + const void* beta, + void* const Carray[], + cudaDataType Ctype, + int64_t ldc, + int64_t batchCount, + cublasComputeType_t computeType, + cublasGemmAlgo_t algo); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmStridedBatchedEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const void* alpha, + const void* A, + cudaDataType Atype, + int lda, + long long int strideA, + const void* B, + cudaDataType Btype, + int ldb, + long long int strideB, + const void* beta, + void* C, + cudaDataType Ctype, + int ldc, + long long int strideC, + int batchCount, + cublasComputeType_t computeType, + cublasGemmAlgo_t algo); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasGemmStridedBatchedEx_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + int64_t k, + const void* alpha, + const void* A, + cudaDataType Atype, + int64_t lda, + long long int strideA, + const void* B, + cudaDataType Btype, + int64_t ldb, + long long int strideB, + const void* beta, + void* C, + cudaDataType Ctype, + int64_t ldc, + long long int strideC, + int64_t batchCount, + cublasComputeType_t computeType, + cublasGemmAlgo_t algo); + +/* ---------------- CUBLAS BLAS-like Extension ---------------- */ + +/* GEAM */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgeam(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + const float* alpha, + const float* A, + int lda, + const float* beta, + const float* B, + int ldb, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgeam_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + const float* alpha, + const float* A, + int64_t lda, + const float* beta, + const float* B, + int64_t ldb, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgeam(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + const double* alpha, + const double* A, + int lda, + const double* beta, + const double* B, + int ldb, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgeam_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + const double* alpha, + const double* A, + int64_t lda, + const double* beta, + const double* B, + int64_t ldb, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgeam(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + const cuComplex* alpha, + const cuComplex* A, + int lda, + const cuComplex* beta, + const cuComplex* B, + int ldb, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgeam_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* A, + int64_t lda, + const cuComplex* beta, + const cuComplex* B, + int64_t ldb, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgeam(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* beta, + const cuDoubleComplex* B, + int ldb, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgeam_64(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* beta, + const cuDoubleComplex* B, + int64_t ldb, + cuDoubleComplex* C, + int64_t ldc); + +/* TRSM - Batched Triangular Solver */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsmBatched(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const float* alpha, + const float* const A[], + int lda, + float* const B[], + int ldb, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasStrsmBatched_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const float* alpha, + const float* const A[], + int64_t lda, + float* const B[], + int64_t ldb, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsmBatched(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const double* alpha, + const double* const A[], + int lda, + double* const B[], + int ldb, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDtrsmBatched_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const double* alpha, + const double* const A[], + int64_t lda, + double* const B[], + int64_t ldb, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsmBatched(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const cuComplex* alpha, + const cuComplex* const A[], + int lda, + cuComplex* const B[], + int ldb, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCtrsmBatched_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const cuComplex* alpha, + const cuComplex* const A[], + int64_t lda, + cuComplex* const B[], + int64_t ldb, + int64_t batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsmBatched(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int m, + int n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* const A[], + int lda, + cuDoubleComplex* const B[], + int ldb, + int batchCount); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrsmBatched_64(cublasHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + cublasDiagType_t diag, + int64_t m, + int64_t n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* const A[], + int64_t lda, + cuDoubleComplex* const B[], + int64_t ldb, + int64_t batchCount); + +/* DGMM */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSdgmm(cublasHandle_t handle, + cublasSideMode_t mode, + int m, + int n, + const float* A, + int lda, + const float* x, + int incx, + float* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSdgmm_64(cublasHandle_t handle, + cublasSideMode_t mode, + int64_t m, + int64_t n, + const float* A, + int64_t lda, + const float* x, + int64_t incx, + float* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDdgmm(cublasHandle_t handle, + cublasSideMode_t mode, + int m, + int n, + const double* A, + int lda, + const double* x, + int incx, + double* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDdgmm_64(cublasHandle_t handle, + cublasSideMode_t mode, + int64_t m, + int64_t n, + const double* A, + int64_t lda, + const double* x, + int64_t incx, + double* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCdgmm(cublasHandle_t handle, + cublasSideMode_t mode, + int m, + int n, + const cuComplex* A, + int lda, + const cuComplex* x, + int incx, + cuComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCdgmm_64(cublasHandle_t handle, + cublasSideMode_t mode, + int64_t m, + int64_t n, + const cuComplex* A, + int64_t lda, + const cuComplex* x, + int64_t incx, + cuComplex* C, + int64_t ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdgmm(cublasHandle_t handle, + cublasSideMode_t mode, + int m, + int n, + const cuDoubleComplex* A, + int lda, + const cuDoubleComplex* x, + int incx, + cuDoubleComplex* C, + int ldc); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZdgmm_64(cublasHandle_t handle, + cublasSideMode_t mode, + int64_t m, + int64_t n, + const cuDoubleComplex* A, + int64_t lda, + const cuDoubleComplex* x, + int64_t incx, + cuDoubleComplex* C, + int64_t ldc); + +/* Batched - MATINV*/ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSmatinvBatched(cublasHandle_t handle, + int n, + const float* const A[], + int lda, + float* const Ainv[], + int lda_inv, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDmatinvBatched(cublasHandle_t handle, + int n, + const double* const A[], + int lda, + double* const Ainv[], + int lda_inv, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCmatinvBatched(cublasHandle_t handle, + int n, + const cuComplex* const A[], + int lda, + cuComplex* const Ainv[], + int lda_inv, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZmatinvBatched(cublasHandle_t handle, + int n, + const cuDoubleComplex* const A[], + int lda, + cuDoubleComplex* const Ainv[], + int lda_inv, + int* info, + int batchSize); + +/* Batch QR Factorization */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgeqrfBatched(cublasHandle_t handle, + int m, + int n, + float* const Aarray[], + int lda, + float* const TauArray[], + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgeqrfBatched(cublasHandle_t handle, + int m, + int n, + double* const Aarray[], + int lda, + double* const TauArray[], + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgeqrfBatched(cublasHandle_t handle, + int m, + int n, + cuComplex* const Aarray[], + int lda, + cuComplex* const TauArray[], + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgeqrfBatched(cublasHandle_t handle, + int m, + int n, + cuDoubleComplex* const Aarray[], + int lda, + cuDoubleComplex* const TauArray[], + int* info, + int batchSize); + +/* Least Square Min only m >= n and Non-transpose supported */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgelsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int nrhs, + float* const Aarray[], + int lda, + float* const Carray[], + int ldc, + int* info, + int* devInfoArray, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgelsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int nrhs, + double* const Aarray[], + int lda, + double* const Carray[], + int ldc, + int* info, + int* devInfoArray, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgelsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int nrhs, + cuComplex* const Aarray[], + int lda, + cuComplex* const Carray[], + int ldc, + int* info, + int* devInfoArray, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgelsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int m, + int n, + int nrhs, + cuDoubleComplex* const Aarray[], + int lda, + cuDoubleComplex* const Carray[], + int ldc, + int* info, + int* devInfoArray, + int batchSize); + +/* TPTTR : Triangular Pack format to Triangular format */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasStpttr(cublasHandle_t handle, cublasFillMode_t uplo, int n, const float* AP, float* A, int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDtpttr(cublasHandle_t handle, cublasFillMode_t uplo, int n, const double* AP, double* A, int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCtpttr(cublasHandle_t handle, cublasFillMode_t uplo, int n, const cuComplex* AP, cuComplex* A, int lda); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtpttr( + cublasHandle_t handle, cublasFillMode_t uplo, int n, const cuDoubleComplex* AP, cuDoubleComplex* A, int lda); + +/* TRTTP : Triangular format to Triangular Pack format */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasStrttp(cublasHandle_t handle, cublasFillMode_t uplo, int n, const float* A, int lda, float* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDtrttp(cublasHandle_t handle, cublasFillMode_t uplo, int n, const double* A, int lda, double* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCtrttp(cublasHandle_t handle, cublasFillMode_t uplo, int n, const cuComplex* A, int lda, cuComplex* AP); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZtrttp( + cublasHandle_t handle, cublasFillMode_t uplo, int n, const cuDoubleComplex* A, int lda, cuDoubleComplex* AP); + +/* Batched LU - GETRF*/ + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasSgetrfBatched(cublasHandle_t handle, int n, float* const A[], int lda, int* P, int* info, int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasDgetrfBatched(cublasHandle_t handle, int n, double* const A[], int lda, int* P, int* info, int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI +cublasCgetrfBatched(cublasHandle_t handle, int n, cuComplex* const A[], int lda, int* P, int* info, int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgetrfBatched( + cublasHandle_t handle, int n, cuDoubleComplex* const A[], int lda, int* P, int* info, int batchSize); + +/* Batched inversion based on LU factorization from getrf */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgetriBatched(cublasHandle_t handle, + int n, + const float* const A[], + int lda, + const int* P, + float* const C[], + int ldc, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgetriBatched(cublasHandle_t handle, + int n, + const double* const A[], + int lda, + const int* P, + double* const C[], + int ldc, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgetriBatched(cublasHandle_t handle, + int n, + const cuComplex* const A[], + int lda, + const int* P, + cuComplex* const C[], + int ldc, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgetriBatched(cublasHandle_t handle, + int n, + const cuDoubleComplex* const A[], + int lda, + const int* P, + cuDoubleComplex* const C[], + int ldc, + int* info, + int batchSize); + +/* Batched solver based on LU factorization from getrf */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasSgetrsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const float* const Aarray[], + int lda, + const int* devIpiv, + float* const Barray[], + int ldb, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasDgetrsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const double* const Aarray[], + int lda, + const int* devIpiv, + double* const Barray[], + int ldb, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasCgetrsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const cuComplex* const Aarray[], + int lda, + const int* devIpiv, + cuComplex* const Barray[], + int ldb, + int* info, + int batchSize); + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasZgetrsBatched(cublasHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const cuDoubleComplex* const Aarray[], + int lda, + const int* devIpiv, + cuDoubleComplex* const Barray[], + int ldb, + int* info, + int batchSize); + +/* Deprecated */ + +CUBLASAPI cublasStatus_t CUBLASWINAPI cublasUint8gemmBias(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + cublasOperation_t transc, + int m, + int n, + int k, + const unsigned char* A, + int A_bias, + int lda, + const unsigned char* B, + int B_bias, + int ldb, + unsigned char* C, + int C_bias, + int ldc, + int C_mult, + int C_shift); + +/* }}} cuBLAS Exported API */ + +#if defined(__cplusplus) +} + +static inline cublasStatus_t cublasMigrateComputeType(cublasHandle_t handle, + cudaDataType_t dataType, + cublasComputeType_t* computeType) { + cublasMath_t mathMode = CUBLAS_DEFAULT_MATH; + cublasStatus_t status = CUBLAS_STATUS_SUCCESS; + + status = cublasGetMathMode(handle, &mathMode); + if (status != CUBLAS_STATUS_SUCCESS) { + return status; + } + + bool isPedantic = ((mathMode & 0xf) == CUBLAS_PEDANTIC_MATH); + + switch (dataType) { + case CUDA_R_32F: + case CUDA_C_32F: + *computeType = isPedantic ? CUBLAS_COMPUTE_32F_PEDANTIC : CUBLAS_COMPUTE_32F; + return CUBLAS_STATUS_SUCCESS; + case CUDA_R_64F: + case CUDA_C_64F: + *computeType = isPedantic ? CUBLAS_COMPUTE_64F_PEDANTIC : CUBLAS_COMPUTE_64F; + return CUBLAS_STATUS_SUCCESS; + case CUDA_R_16F: + *computeType = isPedantic ? CUBLAS_COMPUTE_16F_PEDANTIC : CUBLAS_COMPUTE_16F; + return CUBLAS_STATUS_SUCCESS; + case CUDA_R_32I: + *computeType = isPedantic ? CUBLAS_COMPUTE_32I_PEDANTIC : CUBLAS_COMPUTE_32I; + return CUBLAS_STATUS_SUCCESS; + default: + return CUBLAS_STATUS_NOT_SUPPORTED; + } +} +/* wrappers to accept old code with cudaDataType computeType when referenced from c++ code */ +static inline cublasStatus_t cublasGemmEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const void* alpha, /* host or device pointer */ + const void* A, + cudaDataType Atype, + int lda, + const void* B, + cudaDataType Btype, + int ldb, + const void* beta, /* host or device pointer */ + void* C, + cudaDataType Ctype, + int ldc, + cudaDataType computeType, + cublasGemmAlgo_t algo) { + cublasComputeType_t migratedComputeType = CUBLAS_COMPUTE_32F; + cublasStatus_t status = CUBLAS_STATUS_SUCCESS; + status = cublasMigrateComputeType(handle, computeType, &migratedComputeType); + if (status != CUBLAS_STATUS_SUCCESS) { + return status; + } + + return cublasGemmEx(handle, + transa, + transb, + m, + n, + k, + alpha, + A, + Atype, + lda, + B, + Btype, + ldb, + beta, + C, + Ctype, + ldc, + migratedComputeType, + algo); +} + +static inline cublasStatus_t cublasGemmBatchedEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const void* alpha, /* host or device pointer */ + const void* const Aarray[], + cudaDataType Atype, + int lda, + const void* const Barray[], + cudaDataType Btype, + int ldb, + const void* beta, /* host or device pointer */ + void* const Carray[], + cudaDataType Ctype, + int ldc, + int batchCount, + cudaDataType computeType, + cublasGemmAlgo_t algo) { + cublasComputeType_t migratedComputeType; + cublasStatus_t status; + status = cublasMigrateComputeType(handle, computeType, &migratedComputeType); + if (status != CUBLAS_STATUS_SUCCESS) { + return status; + } + + return cublasGemmBatchedEx(handle, + transa, + transb, + m, + n, + k, + alpha, + Aarray, + Atype, + lda, + Barray, + Btype, + ldb, + beta, + Carray, + Ctype, + ldc, + batchCount, + migratedComputeType, + algo); +} + +static inline cublasStatus_t cublasGemmStridedBatchedEx(cublasHandle_t handle, + cublasOperation_t transa, + cublasOperation_t transb, + int m, + int n, + int k, + const void* alpha, /* host or device pointer */ + const void* A, + cudaDataType Atype, + int lda, + long long int strideA, /* purposely signed */ + const void* B, + cudaDataType Btype, + int ldb, + long long int strideB, + const void* beta, /* host or device pointer */ + void* C, + cudaDataType Ctype, + int ldc, + long long int strideC, + int batchCount, + cudaDataType computeType, + cublasGemmAlgo_t algo) { + cublasComputeType_t migratedComputeType; + cublasStatus_t status; + status = cublasMigrateComputeType(handle, computeType, &migratedComputeType); + if (status != CUBLAS_STATUS_SUCCESS) { + return status; + } + + return cublasGemmStridedBatchedEx(handle, + transa, + transb, + m, + n, + k, + alpha, + A, + Atype, + lda, + strideA, + B, + Btype, + ldb, + strideB, + beta, + C, + Ctype, + ldc, + strideC, + batchCount, + migratedComputeType, + algo); +} +#endif /* __cplusplus */ + +#endif /* !defined(CUBLAS_API_H_) */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas_v2.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas_v2.h new file mode 100644 index 0000000000000000000000000000000000000000..bd81a3b1d8e7e3d04d6c54f4c0640af7d8893eab --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/cublas_v2.h @@ -0,0 +1,478 @@ +/* + * Copyright 1993-2019 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +/* + * This is the public header file for the new CUBLAS library API, it mapped the generic + * Cublas name functions to the actual _v2 implementations. + */ + +#if !defined(CUBLAS_V2_H_) +#define CUBLAS_V2_H_ + +#if defined(CUBLAS_H_) +#error "It is an error to include both cublas.h and cublas_v2.h" +#endif + +#undef CUBLASAPI +#ifdef __CUDACC__ +#define CUBLASAPI __host__ __device__ +#else +#define CUBLASAPI +#endif + +#include "cublas_api.h" + +#define cublasCreate cublasCreate_v2 +#define cublasDestroy cublasDestroy_v2 +#define cublasGetVersion cublasGetVersion_v2 +#define cublasSetWorkspace cublasSetWorkspace_v2 +#define cublasSetStream cublasSetStream_v2 +#define cublasGetStream cublasGetStream_v2 +#define cublasGetPointerMode cublasGetPointerMode_v2 +#define cublasSetPointerMode cublasSetPointerMode_v2 + +/* 32-bit integer */ + +/* Blas1 Routines */ + +#define cublasSnrm2 cublasSnrm2_v2 +#define cublasDnrm2 cublasDnrm2_v2 +#define cublasScnrm2 cublasScnrm2_v2 +#define cublasDznrm2 cublasDznrm2_v2 + +#define cublasSdot cublasSdot_v2 +#define cublasDdot cublasDdot_v2 +#define cublasCdotu cublasCdotu_v2 +#define cublasCdotc cublasCdotc_v2 +#define cublasZdotu cublasZdotu_v2 +#define cublasZdotc cublasZdotc_v2 + +#define cublasSscal cublasSscal_v2 +#define cublasDscal cublasDscal_v2 +#define cublasCscal cublasCscal_v2 +#define cublasCsscal cublasCsscal_v2 +#define cublasZscal cublasZscal_v2 +#define cublasZdscal cublasZdscal_v2 + +#define cublasSaxpy cublasSaxpy_v2 +#define cublasDaxpy cublasDaxpy_v2 +#define cublasCaxpy cublasCaxpy_v2 +#define cublasZaxpy cublasZaxpy_v2 + +#define cublasScopy cublasScopy_v2 +#define cublasDcopy cublasDcopy_v2 +#define cublasCcopy cublasCcopy_v2 +#define cublasZcopy cublasZcopy_v2 + +#define cublasSswap cublasSswap_v2 +#define cublasDswap cublasDswap_v2 +#define cublasCswap cublasCswap_v2 +#define cublasZswap cublasZswap_v2 + +#define cublasIsamax cublasIsamax_v2 +#define cublasIdamax cublasIdamax_v2 +#define cublasIcamax cublasIcamax_v2 +#define cublasIzamax cublasIzamax_v2 + +#define cublasIsamin cublasIsamin_v2 +#define cublasIdamin cublasIdamin_v2 +#define cublasIcamin cublasIcamin_v2 +#define cublasIzamin cublasIzamin_v2 + +#define cublasSasum cublasSasum_v2 +#define cublasDasum cublasDasum_v2 +#define cublasScasum cublasScasum_v2 +#define cublasDzasum cublasDzasum_v2 + +#define cublasSrot cublasSrot_v2 +#define cublasDrot cublasDrot_v2 +#define cublasCrot cublasCrot_v2 +#define cublasCsrot cublasCsrot_v2 +#define cublasZrot cublasZrot_v2 +#define cublasZdrot cublasZdrot_v2 + +#define cublasSrotg cublasSrotg_v2 +#define cublasDrotg cublasDrotg_v2 +#define cublasCrotg cublasCrotg_v2 +#define cublasZrotg cublasZrotg_v2 + +#define cublasSrotm cublasSrotm_v2 +#define cublasDrotm cublasDrotm_v2 + +#define cublasSrotmg cublasSrotmg_v2 +#define cublasDrotmg cublasDrotmg_v2 + +/* Blas2 Routines */ + +#define cublasSgemv cublasSgemv_v2 +#define cublasDgemv cublasDgemv_v2 +#define cublasCgemv cublasCgemv_v2 +#define cublasZgemv cublasZgemv_v2 + +#define cublasSgbmv cublasSgbmv_v2 +#define cublasDgbmv cublasDgbmv_v2 +#define cublasCgbmv cublasCgbmv_v2 +#define cublasZgbmv cublasZgbmv_v2 + +#define cublasStrmv cublasStrmv_v2 +#define cublasDtrmv cublasDtrmv_v2 +#define cublasCtrmv cublasCtrmv_v2 +#define cublasZtrmv cublasZtrmv_v2 + +#define cublasStbmv cublasStbmv_v2 +#define cublasDtbmv cublasDtbmv_v2 +#define cublasCtbmv cublasCtbmv_v2 +#define cublasZtbmv cublasZtbmv_v2 + +#define cublasStpmv cublasStpmv_v2 +#define cublasDtpmv cublasDtpmv_v2 +#define cublasCtpmv cublasCtpmv_v2 +#define cublasZtpmv cublasZtpmv_v2 + +#define cublasStrsv cublasStrsv_v2 +#define cublasDtrsv cublasDtrsv_v2 +#define cublasCtrsv cublasCtrsv_v2 +#define cublasZtrsv cublasZtrsv_v2 + +#define cublasStpsv cublasStpsv_v2 +#define cublasDtpsv cublasDtpsv_v2 +#define cublasCtpsv cublasCtpsv_v2 +#define cublasZtpsv cublasZtpsv_v2 + +#define cublasStbsv cublasStbsv_v2 +#define cublasDtbsv cublasDtbsv_v2 +#define cublasCtbsv cublasCtbsv_v2 +#define cublasZtbsv cublasZtbsv_v2 + +#define cublasSsymv cublasSsymv_v2 +#define cublasDsymv cublasDsymv_v2 +#define cublasCsymv cublasCsymv_v2 +#define cublasZsymv cublasZsymv_v2 +#define cublasChemv cublasChemv_v2 +#define cublasZhemv cublasZhemv_v2 + +#define cublasSsbmv cublasSsbmv_v2 +#define cublasDsbmv cublasDsbmv_v2 +#define cublasChbmv cublasChbmv_v2 +#define cublasZhbmv cublasZhbmv_v2 + +#define cublasSspmv cublasSspmv_v2 +#define cublasDspmv cublasDspmv_v2 +#define cublasChpmv cublasChpmv_v2 +#define cublasZhpmv cublasZhpmv_v2 + +#define cublasSger cublasSger_v2 +#define cublasDger cublasDger_v2 +#define cublasCgeru cublasCgeru_v2 +#define cublasCgerc cublasCgerc_v2 +#define cublasZgeru cublasZgeru_v2 +#define cublasZgerc cublasZgerc_v2 + +#define cublasSsyr cublasSsyr_v2 +#define cublasDsyr cublasDsyr_v2 +#define cublasCsyr cublasCsyr_v2 +#define cublasZsyr cublasZsyr_v2 +#define cublasCher cublasCher_v2 +#define cublasZher cublasZher_v2 + +#define cublasSspr cublasSspr_v2 +#define cublasDspr cublasDspr_v2 +#define cublasChpr cublasChpr_v2 +#define cublasZhpr cublasZhpr_v2 + +#define cublasSsyr2 cublasSsyr2_v2 +#define cublasDsyr2 cublasDsyr2_v2 +#define cublasCsyr2 cublasCsyr2_v2 +#define cublasZsyr2 cublasZsyr2_v2 +#define cublasCher2 cublasCher2_v2 +#define cublasZher2 cublasZher2_v2 + +#define cublasSspr2 cublasSspr2_v2 +#define cublasDspr2 cublasDspr2_v2 +#define cublasChpr2 cublasChpr2_v2 +#define cublasZhpr2 cublasZhpr2_v2 + +/* Blas3 Routines */ + +#define cublasSgemm cublasSgemm_v2 +#define cublasDgemm cublasDgemm_v2 +#define cublasCgemm cublasCgemm_v2 +#define cublasZgemm cublasZgemm_v2 + +#define cublasSsyrk cublasSsyrk_v2 +#define cublasDsyrk cublasDsyrk_v2 +#define cublasCsyrk cublasCsyrk_v2 +#define cublasZsyrk cublasZsyrk_v2 +#define cublasCherk cublasCherk_v2 +#define cublasZherk cublasZherk_v2 + +#define cublasSsyr2k cublasSsyr2k_v2 +#define cublasDsyr2k cublasDsyr2k_v2 +#define cublasCsyr2k cublasCsyr2k_v2 +#define cublasZsyr2k cublasZsyr2k_v2 +#define cublasCher2k cublasCher2k_v2 +#define cublasZher2k cublasZher2k_v2 + +#define cublasSsymm cublasSsymm_v2 +#define cublasDsymm cublasDsymm_v2 +#define cublasCsymm cublasCsymm_v2 +#define cublasZsymm cublasZsymm_v2 +#define cublasChemm cublasChemm_v2 +#define cublasZhemm cublasZhemm_v2 + +#define cublasStrsm cublasStrsm_v2 +#define cublasDtrsm cublasDtrsm_v2 +#define cublasCtrsm cublasCtrsm_v2 +#define cublasZtrsm cublasZtrsm_v2 + +#define cublasStrmm cublasStrmm_v2 +#define cublasDtrmm cublasDtrmm_v2 +#define cublasCtrmm cublasCtrmm_v2 +#define cublasZtrmm cublasZtrmm_v2 + +/* 64-bit integer */ + +/* Blas1 Routines */ + +#define cublasSnrm2_64 cublasSnrm2_v2_64 +#define cublasDnrm2_64 cublasDnrm2_v2_64 +#define cublasScnrm2_64 cublasScnrm2_v2_64 +#define cublasDznrm2_64 cublasDznrm2_v2_64 + +#define cublasSdot_64 cublasSdot_v2_64 +#define cublasDdot_64 cublasDdot_v2_64 +#define cublasCdotu_64 cublasCdotu_v2_64 +#define cublasCdotc_64 cublasCdotc_v2_64 +#define cublasZdotu_64 cublasZdotu_v2_64 +#define cublasZdotc_64 cublasZdotc_v2_64 + +#define cublasSscal_64 cublasSscal_v2_64 +#define cublasDscal_64 cublasDscal_v2_64 +#define cublasCscal_64 cublasCscal_v2_64 +#define cublasCsscal_64 cublasCsscal_v2_64 +#define cublasZscal_64 cublasZscal_v2_64 +#define cublasZdscal_64 cublasZdscal_v2_64 + +#define cublasSaxpy_64 cublasSaxpy_v2_64 +#define cublasDaxpy_64 cublasDaxpy_v2_64 +#define cublasCaxpy_64 cublasCaxpy_v2_64 +#define cublasZaxpy_64 cublasZaxpy_v2_64 + +#define cublasScopy_64 cublasScopy_v2_64 +#define cublasDcopy_64 cublasDcopy_v2_64 +#define cublasCcopy_64 cublasCcopy_v2_64 +#define cublasZcopy_64 cublasZcopy_v2_64 + +#define cublasSswap_64 cublasSswap_v2_64 +#define cublasDswap_64 cublasDswap_v2_64 +#define cublasCswap_64 cublasCswap_v2_64 +#define cublasZswap_64 cublasZswap_v2_64 + +#define cublasIsamax_64 cublasIsamax_v2_64 +#define cublasIdamax_64 cublasIdamax_v2_64 +#define cublasIcamax_64 cublasIcamax_v2_64 +#define cublasIzamax_64 cublasIzamax_v2_64 + +#define cublasIsamin_64 cublasIsamin_v2_64 +#define cublasIdamin_64 cublasIdamin_v2_64 +#define cublasIcamin_64 cublasIcamin_v2_64 +#define cublasIzamin_64 cublasIzamin_v2_64 + +#define cublasSasum_64 cublasSasum_v2_64 +#define cublasDasum_64 cublasDasum_v2_64 +#define cublasScasum_64 cublasScasum_v2_64 +#define cublasDzasum_64 cublasDzasum_v2_64 + +#define cublasSrot_64 cublasSrot_v2_64 +#define cublasDrot_64 cublasDrot_v2_64 +#define cublasCrot_64 cublasCrot_v2_64 +#define cublasCsrot_64 cublasCsrot_v2_64 +#define cublasZrot_64 cublasZrot_v2_64 +#define cublasZdrot_64 cublasZdrot_v2_64 + +#define cublasSrotg_64 cublasSrotg_v2_64 +#define cublasDrotg_64 cublasDrotg_v2_64 +#define cublasCrotg_64 cublasCrotg_v2_64 +#define cublasZrotg_64 cublasZrotg_v2_64 + +#define cublasSrotm_64 cublasSrotm_v2_64 +#define cublasDrotm_64 cublasDrotm_v2_64 + +#define cublasSrotmg_64 cublasSrotmg_v2_64 +#define cublasDrotmg_64 cublasDrotmg_v2_64 + +/* Blas2 Routines */ + +#define cublasSgemv_64 cublasSgemv_v2_64 +#define cublasDgemv_64 cublasDgemv_v2_64 +#define cublasCgemv_64 cublasCgemv_v2_64 +#define cublasZgemv_64 cublasZgemv_v2_64 + +#define cublasSgbmv_64 cublasSgbmv_v2_64 +#define cublasDgbmv_64 cublasDgbmv_v2_64 +#define cublasCgbmv_64 cublasCgbmv_v2_64 +#define cublasZgbmv_64 cublasZgbmv_v2_64 + +#define cublasStrmv_64 cublasStrmv_v2_64 +#define cublasDtrmv_64 cublasDtrmv_v2_64 +#define cublasCtrmv_64 cublasCtrmv_v2_64 +#define cublasZtrmv_64 cublasZtrmv_v2_64 + +#define cublasStbmv_64 cublasStbmv_v2_64 +#define cublasDtbmv_64 cublasDtbmv_v2_64 +#define cublasCtbmv_64 cublasCtbmv_v2_64 +#define cublasZtbmv_64 cublasZtbmv_v2_64 + +#define cublasStpmv_64 cublasStpmv_v2_64 +#define cublasDtpmv_64 cublasDtpmv_v2_64 +#define cublasCtpmv_64 cublasCtpmv_v2_64 +#define cublasZtpmv_64 cublasZtpmv_v2_64 + +#define cublasStrsv_64 cublasStrsv_v2_64 +#define cublasDtrsv_64 cublasDtrsv_v2_64 +#define cublasCtrsv_64 cublasCtrsv_v2_64 +#define cublasZtrsv_64 cublasZtrsv_v2_64 + +#define cublasStpsv_64 cublasStpsv_v2_64 +#define cublasDtpsv_64 cublasDtpsv_v2_64 +#define cublasCtpsv_64 cublasCtpsv_v2_64 +#define cublasZtpsv_64 cublasZtpsv_v2_64 + +#define cublasStbsv_64 cublasStbsv_v2_64 +#define cublasDtbsv_64 cublasDtbsv_v2_64 +#define cublasCtbsv_64 cublasCtbsv_v2_64 +#define cublasZtbsv_64 cublasZtbsv_v2_64 + +#define cublasSsymv_64 cublasSsymv_v2_64 +#define cublasDsymv_64 cublasDsymv_v2_64 +#define cublasCsymv_64 cublasCsymv_v2_64 +#define cublasZsymv_64 cublasZsymv_v2_64 +#define cublasChemv_64 cublasChemv_v2_64 +#define cublasZhemv_64 cublasZhemv_v2_64 + +#define cublasSsbmv_64 cublasSsbmv_v2_64 +#define cublasDsbmv_64 cublasDsbmv_v2_64 +#define cublasChbmv_64 cublasChbmv_v2_64 +#define cublasZhbmv_64 cublasZhbmv_v2_64 + +#define cublasSspmv_64 cublasSspmv_v2_64 +#define cublasDspmv_64 cublasDspmv_v2_64 +#define cublasChpmv_64 cublasChpmv_v2_64 +#define cublasZhpmv_64 cublasZhpmv_v2_64 + +#define cublasSger_64 cublasSger_v2_64 +#define cublasDger_64 cublasDger_v2_64 +#define cublasCgeru_64 cublasCgeru_v2_64 +#define cublasCgerc_64 cublasCgerc_v2_64 +#define cublasZgeru_64 cublasZgeru_v2_64 +#define cublasZgerc_64 cublasZgerc_v2_64 + +#define cublasSsyr_64 cublasSsyr_v2_64 +#define cublasDsyr_64 cublasDsyr_v2_64 +#define cublasCsyr_64 cublasCsyr_v2_64 +#define cublasZsyr_64 cublasZsyr_v2_64 +#define cublasCher_64 cublasCher_v2_64 +#define cublasZher_64 cublasZher_v2_64 + +#define cublasSspr_64 cublasSspr_v2_64 +#define cublasDspr_64 cublasDspr_v2_64 +#define cublasChpr_64 cublasChpr_v2_64 +#define cublasZhpr_64 cublasZhpr_v2_64 + +#define cublasSsyr2_64 cublasSsyr2_v2_64 +#define cublasDsyr2_64 cublasDsyr2_v2_64 +#define cublasCsyr2_64 cublasCsyr2_v2_64 +#define cublasZsyr2_64 cublasZsyr2_v2_64 +#define cublasCher2_64 cublasCher2_v2_64 +#define cublasZher2_64 cublasZher2_v2_64 + +#define cublasSspr2_64 cublasSspr2_v2_64 +#define cublasDspr2_64 cublasDspr2_v2_64 +#define cublasChpr2_64 cublasChpr2_v2_64 +#define cublasZhpr2_64 cublasZhpr2_v2_64 + +/* Blas3 Routines */ + +#define cublasSgemm_64 cublasSgemm_v2_64 +#define cublasDgemm_64 cublasDgemm_v2_64 +#define cublasCgemm_64 cublasCgemm_v2_64 +#define cublasZgemm_64 cublasZgemm_v2_64 + +#define cublasSsyrk_64 cublasSsyrk_v2_64 +#define cublasDsyrk_64 cublasDsyrk_v2_64 +#define cublasCsyrk_64 cublasCsyrk_v2_64 +#define cublasZsyrk_64 cublasZsyrk_v2_64 +#define cublasCherk_64 cublasCherk_v2_64 +#define cublasZherk_64 cublasZherk_v2_64 + +#define cublasSsyr2k_64 cublasSsyr2k_v2_64 +#define cublasDsyr2k_64 cublasDsyr2k_v2_64 +#define cublasCsyr2k_64 cublasCsyr2k_v2_64 +#define cublasZsyr2k_64 cublasZsyr2k_v2_64 +#define cublasCher2k_64 cublasCher2k_v2_64 +#define cublasZher2k_64 cublasZher2k_v2_64 + +#define cublasSsymm_64 cublasSsymm_v2_64 +#define cublasDsymm_64 cublasDsymm_v2_64 +#define cublasCsymm_64 cublasCsymm_v2_64 +#define cublasZsymm_64 cublasZsymm_v2_64 +#define cublasChemm_64 cublasChemm_v2_64 +#define cublasZhemm_64 cublasZhemm_v2_64 + +#define cublasStrsm_64 cublasStrsm_v2_64 +#define cublasDtrsm_64 cublasDtrsm_v2_64 +#define cublasCtrsm_64 cublasCtrsm_v2_64 +#define cublasZtrsm_64 cublasZtrsm_v2_64 + +#define cublasStrmm_64 cublasStrmm_v2_64 +#define cublasDtrmm_64 cublasDtrmm_v2_64 +#define cublasCtrmm_64 cublasCtrmm_v2_64 +#define cublasZtrmm_64 cublasZtrmm_v2_64 + +#endif /* !defined(CUBLAS_V2_H_) */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/nvblas.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/nvblas.h new file mode 100644 index 0000000000000000000000000000000000000000..29ea9153faf7b3e62a6d53c0be1980ae79c49f51 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/include/nvblas.h @@ -0,0 +1,824 @@ +/* + * Copyright 1993-2019 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#if !defined(NVBLAS_H_) +#define NVBLAS_H_ + +#include "driver_types.h" +#include "cuComplex.h" /* import complex data type */ + +#if defined(__cplusplus) +extern "C" { +#endif + +/* GEMM */ +void sgemm_(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const float* alpha, + const float* a, + const int* lda, + const float* b, + const int* ldb, + const float* beta, + float* c, + const int* ldc); + +void dgemm_(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const double* alpha, + const double* a, + const int* lda, + const double* b, + const int* ldb, + const double* beta, + double* c, + const int* ldc); + +void cgemm_(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zgemm_(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +void sgemm(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const float* alpha, + const float* a, + const int* lda, + const float* b, + const int* ldb, + const float* beta, + float* c, + const int* ldc); + +void dgemm(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const double* alpha, + const double* a, + const int* lda, + const double* b, + const int* ldb, + const double* beta, + double* c, + const int* ldc); + +void cgemm(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zgemm(const char* transa, + const char* transb, + const int* m, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +/* SYRK */ +void ssyrk_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const float* alpha, + const float* a, + const int* lda, + const float* beta, + float* c, + const int* ldc); + +void dsyrk_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const double* alpha, + const double* a, + const int* lda, + const double* beta, + double* c, + const int* ldc); + +void csyrk_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zsyrk_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +void ssyrk(const char* uplo, + const char* trans, + const int* n, + const int* k, + const float* alpha, + const float* a, + const int* lda, + const float* beta, + float* c, + const int* ldc); + +void dsyrk(const char* uplo, + const char* trans, + const int* n, + const int* k, + const double* alpha, + const double* a, + const int* lda, + const double* beta, + double* c, + const int* ldc); + +void csyrk(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zsyrk(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +/* HERK */ +void cherk_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const float* alpha, + const cuComplex* a, + const int* lda, + const float* beta, + cuComplex* c, + const int* ldc); + +void zherk_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const double* alpha, + const cuDoubleComplex* a, + const int* lda, + const double* beta, + cuDoubleComplex* c, + const int* ldc); + +void cherk(const char* uplo, + const char* trans, + const int* n, + const int* k, + const float* alpha, + const cuComplex* a, + const int* lda, + const float* beta, + cuComplex* c, + const int* ldc); + +void zherk(const char* uplo, + const char* trans, + const int* n, + const int* k, + const double* alpha, + const cuDoubleComplex* a, + const int* lda, + const double* beta, + cuDoubleComplex* c, + const int* ldc); + +/* TRSM */ +void strsm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const float* alpha, + const float* a, + const int* lda, + float* b, + const int* ldb); + +void dtrsm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const double* alpha, + const double* a, + const int* lda, + double* b, + const int* ldb); + +void ctrsm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + cuComplex* b, + const int* ldb); + +void ztrsm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + cuDoubleComplex* b, + const int* ldb); + +void strsm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const float* alpha, + const float* a, + const int* lda, + float* b, + const int* ldb); + +void dtrsm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const double* alpha, + const double* a, + const int* lda, + double* b, + const int* ldb); + +void ctrsm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + cuComplex* b, + const int* ldb); + +void ztrsm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + cuDoubleComplex* b, + const int* ldb); + +/* SYMM */ +void ssymm_(const char* side, + const char* uplo, + const int* m, + const int* n, + const float* alpha, + const float* a, + const int* lda, + const float* b, + const int* ldb, + const float* beta, + float* c, + const int* ldc); + +void dsymm_(const char* side, + const char* uplo, + const int* m, + const int* n, + const double* alpha, + const double* a, + const int* lda, + const double* b, + const int* ldb, + const double* beta, + double* c, + const int* ldc); + +void csymm_(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zsymm_(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +void ssymm(const char* side, + const char* uplo, + const int* m, + const int* n, + const float* alpha, + const float* a, + const int* lda, + const float* b, + const int* ldb, + const float* beta, + float* c, + const int* ldc); + +void dsymm(const char* side, + const char* uplo, + const int* m, + const int* n, + const double* alpha, + const double* a, + const int* lda, + const double* b, + const int* ldb, + const double* beta, + double* c, + const int* ldc); + +void csymm(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zsymm(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +/* HEMM */ +void chemm_(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zhemm_(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +/* HEMM with no underscore*/ +void chemm(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zhemm(const char* side, + const char* uplo, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +/* SYR2K */ +void ssyr2k_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const float* alpha, + const float* a, + const int* lda, + const float* b, + const int* ldb, + const float* beta, + float* c, + const int* ldc); + +void dsyr2k_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const double* alpha, + const double* a, + const int* lda, + const double* b, + const int* ldb, + const double* beta, + double* c, + const int* ldc); + +void csyr2k_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zsyr2k_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +/* SYR2K no_underscore*/ +void ssyr2k(const char* uplo, + const char* trans, + const int* n, + const int* k, + const float* alpha, + const float* a, + const int* lda, + const float* b, + const int* ldb, + const float* beta, + float* c, + const int* ldc); + +void dsyr2k(const char* uplo, + const char* trans, + const int* n, + const int* k, + const double* alpha, + const double* a, + const int* lda, + const double* b, + const int* ldb, + const double* beta, + double* c, + const int* ldc); + +void csyr2k(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const cuComplex* beta, + cuComplex* c, + const int* ldc); + +void zsyr2k(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const cuDoubleComplex* beta, + cuDoubleComplex* c, + const int* ldc); + +/* HERK */ +void cher2k_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const float* beta, + cuComplex* c, + const int* ldc); + +void zher2k_(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const double* beta, + cuDoubleComplex* c, + const int* ldc); + +/* HER2K with no underscore */ +void cher2k(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + const cuComplex* b, + const int* ldb, + const float* beta, + cuComplex* c, + const int* ldc); + +void zher2k(const char* uplo, + const char* trans, + const int* n, + const int* k, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + const cuDoubleComplex* b, + const int* ldb, + const double* beta, + cuDoubleComplex* c, + const int* ldc); + +/* TRMM */ +void strmm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const float* alpha, + const float* a, + const int* lda, + float* b, + const int* ldb); + +void dtrmm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const double* alpha, + const double* a, + const int* lda, + double* b, + const int* ldb); + +void ctrmm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + cuComplex* b, + const int* ldb); + +void ztrmm_(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + cuDoubleComplex* b, + const int* ldb); + +void strmm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const float* alpha, + const float* a, + const int* lda, + float* b, + const int* ldb); + +void dtrmm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const double* alpha, + const double* a, + const int* lda, + double* b, + const int* ldb); + +void ctrmm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuComplex* alpha, + const cuComplex* a, + const int* lda, + cuComplex* b, + const int* ldb); + +void ztrmm(const char* side, + const char* uplo, + const char* transa, + const char* diag, + const int* m, + const int* n, + const cuDoubleComplex* alpha, + const cuDoubleComplex* a, + const int* lda, + cuDoubleComplex* b, + const int* ldb); + +#if defined(__cplusplus) +} +#endif /* __cplusplus */ + +#endif /* !defined(NVBLAS_H_) */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..64a55857be34ec57801210cb532ccc6266c7d044 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/libnvblas.so.12 b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/libnvblas.so.12 new file mode 100644 index 0000000000000000000000000000000000000000..5e74d14a5c1ef3a8e9c42783921cfe0fe86a1236 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/cublas/lib/libnvblas.so.12 differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openacc/cupti_openacc.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openacc/cupti_openacc.h new file mode 100644 index 0000000000000000000000000000000000000000..b7ea50da7beb2187e77f7606dd70faed0e4b4add --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openacc/cupti_openacc.h @@ -0,0 +1,98 @@ +/* + * Copyright 2017 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#include + +#if !defined(_CUPTI_OPENACC_H_) +#define _CUPTI_OPENACC_H_ + +#ifndef CUPTIAPI +#ifdef _WIN32 +#define CUPTIAPI __stdcall +#else +#define CUPTIAPI +#endif +#endif + +#if defined(__LP64__) +#define CUPTILP64 1 +#elif defined(_WIN64) +#define CUPTILP64 1 +#else +#undef CUPTILP64 +#endif + +#if defined(__cplusplus) +extern "C" { +#endif + +#if defined(__GNUC__) && defined(CUPTI_LIB) + #pragma GCC visibility push(default) +#endif + +/** + * \brief Initialize OpenACC support + * + * \param profRegister function of type acc_prof_reg as obtained from acc_register_library + * \param profUnregister function of type acc_prof_reg as obtained from acc_register_library + * \param profLookup function of type acc_prof_lookup as obtained from acc_register_library + */ +CUptiResult CUPTIAPI +cuptiOpenACCInitialize(void *profRegister, void *profUnregister, void *profLookup); + +#if defined(__GNUC__) && defined(CUPTI_LIB) + #pragma GCC visibility pop +#endif + +#if defined(__cplusplus) +} +#endif + +#endif /*_CUPTI_OPENACC_H_*/ + diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openmp/cupti_openmp.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openmp/cupti_openmp.h new file mode 100644 index 0000000000000000000000000000000000000000..303dd42878fb02774d872c197ccc27b17f2af69e --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openmp/cupti_openmp.h @@ -0,0 +1,100 @@ +/* + * Copyright 2018 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#include +#include "Openmp/omp-tools.h" + +#if !defined(_CUPTI_OPENMP_H_) +#define _CUPTI_OPENMP_H_ + +#ifndef CUPTIAPI +#ifdef _WIN32 +#define CUPTIAPI __stdcall +#else +#define CUPTIAPI +#endif +#endif + +#if defined(__LP64__) +#define CUPTILP64 1 +#elif defined(_WIN64) +#define CUPTILP64 1 +#else +#undef CUPTILP64 +#endif + +#if defined(__cplusplus) +extern "C" { +#endif + +#if defined(__GNUC__) && defined(CUPTI_LIB) + #pragma GCC visibility push(default) +#endif + +/** + * \brief Initialize OPENMP support (deprecated, used before OpenMP 5.0) + * + */ +int CUPTIAPI cuptiOpenMpInitialize(ompt_function_lookup_t ompt_fn_lookup, const char *runtime_version, unsigned int ompt_version); + +/** + * \brief Initialize OPENMP support + * + */ +int CUPTIAPI cuptiOpenMpInitialize_v2(ompt_function_lookup_t lookup, int initial_device_num, ompt_data_t *tool_data); + +#if defined(__GNUC__) && defined(CUPTI_LIB) + #pragma GCC visibility pop +#endif + +#if defined(__cplusplus) +} +#endif + +#endif /*_CUPTI_OPENMP_H_*/ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openmp/omp-tools.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openmp/omp-tools.h new file mode 100644 index 0000000000000000000000000000000000000000..276967d07e8f8c0f7686e5b3b15151edf2415ae7 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/Openmp/omp-tools.h @@ -0,0 +1,1083 @@ +/* + * include/50/omp-tools.h.var + */ + +//===----------------------------------------------------------------------===// +// +// The LLVM Compiler Infrastructure +// +// This file is dual licensed under the MIT and the University of Illinois Open +// Source Licenses. See LICENSE.txt for details. +// +//===----------------------------------------------------------------------===// + +#ifndef __OMPT__ +#define __OMPT__ + +/***************************************************************************** + * system include files + *****************************************************************************/ + +#include +#include + +/***************************************************************************** + * iteration macros + *****************************************************************************/ + +#define FOREACH_OMPT_INQUIRY_FN(macro) \ + macro (ompt_enumerate_states) \ + macro (ompt_enumerate_mutex_impls) \ + \ + macro (ompt_set_callback) \ + macro (ompt_get_callback) \ + \ + macro (ompt_get_state) \ + \ + macro (ompt_get_parallel_info) \ + macro (ompt_get_task_info) \ + macro (ompt_get_task_memory) \ + macro (ompt_get_thread_data) \ + macro (ompt_get_unique_id) \ + macro (ompt_finalize_tool) \ + \ + macro(ompt_get_num_procs) \ + macro(ompt_get_num_places) \ + macro(ompt_get_place_proc_ids) \ + macro(ompt_get_place_num) \ + macro(ompt_get_partition_place_nums) \ + macro(ompt_get_proc_id) \ + \ + macro(ompt_get_target_info) \ + macro(ompt_get_num_devices) + +#define FOREACH_OMPT_STATE(macro) \ + \ + /* first available state */ \ + macro (ompt_state_undefined, 0x102) /* undefined thread state */ \ + \ + /* work states (0..15) */ \ + macro (ompt_state_work_serial, 0x000) /* working outside parallel */ \ + macro (ompt_state_work_parallel, 0x001) /* working within parallel */ \ + macro (ompt_state_work_reduction, 0x002) /* performing a reduction */ \ + \ + /* barrier wait states (16..31) */ \ + macro (ompt_state_wait_barrier, 0x010) /* waiting at a barrier */ \ + macro (ompt_state_wait_barrier_implicit_parallel, 0x011) \ + /* implicit barrier at the end of parallel region */\ + macro (ompt_state_wait_barrier_implicit_workshare, 0x012) \ + /* implicit barrier at the end of worksharing */ \ + macro (ompt_state_wait_barrier_implicit, 0x013) /* implicit barrier */ \ + macro (ompt_state_wait_barrier_explicit, 0x014) /* explicit barrier */ \ + \ + /* task wait states (32..63) */ \ + macro (ompt_state_wait_taskwait, 0x020) /* waiting at a taskwait */ \ + macro (ompt_state_wait_taskgroup, 0x021) /* waiting at a taskgroup */ \ + \ + /* mutex wait states (64..127) */ \ + macro (ompt_state_wait_mutex, 0x040) \ + macro (ompt_state_wait_lock, 0x041) /* waiting for lock */ \ + macro (ompt_state_wait_critical, 0x042) /* waiting for critical */ \ + macro (ompt_state_wait_atomic, 0x043) /* waiting for atomic */ \ + macro (ompt_state_wait_ordered, 0x044) /* waiting for ordered */ \ + \ + /* target wait states (128..255) */ \ + macro (ompt_state_wait_target, 0x080) /* waiting for target region */ \ + macro (ompt_state_wait_target_map, 0x081) /* waiting for target data mapping operation */ \ + macro (ompt_state_wait_target_update, 0x082) /* waiting for target update operation */ \ + \ + /* misc (256..511) */ \ + macro (ompt_state_idle, 0x100) /* waiting for work */ \ + macro (ompt_state_overhead, 0x101) /* overhead excluding wait states */ \ + \ + /* implementation-specific states (512..) */ + + +#define FOREACH_KMP_MUTEX_IMPL(macro) \ + macro (kmp_mutex_impl_none, 0) /* unknown implementation */ \ + macro (kmp_mutex_impl_spin, 1) /* based on spin */ \ + macro (kmp_mutex_impl_queuing, 2) /* based on some fair policy */ \ + macro (kmp_mutex_impl_speculative, 3) /* based on HW-supported speculation */ + +#define FOREACH_OMPT_EVENT(macro) \ + \ + /*--- Mandatory Events ---*/ \ + macro (ompt_callback_thread_begin, ompt_callback_thread_begin_t, 1) /* thread begin */ \ + macro (ompt_callback_thread_end, ompt_callback_thread_end_t, 2) /* thread end */ \ + \ + macro (ompt_callback_parallel_begin, ompt_callback_parallel_begin_t, 3) /* parallel begin */ \ + macro (ompt_callback_parallel_end, ompt_callback_parallel_end_t, 4) /* parallel end */ \ + \ + macro (ompt_callback_task_create, ompt_callback_task_create_t, 5) /* task begin */ \ + macro (ompt_callback_task_schedule, ompt_callback_task_schedule_t, 6) /* task schedule */ \ + macro (ompt_callback_implicit_task, ompt_callback_implicit_task_t, 7) /* implicit task */ \ + \ + macro (ompt_callback_target, ompt_callback_target_t, 8) /* target */ \ + macro (ompt_callback_target_data_op, ompt_callback_target_data_op_t, 9) /* target data op */ \ + macro (ompt_callback_target_submit, ompt_callback_target_submit_t, 10) /* target submit */ \ + \ + macro (ompt_callback_control_tool, ompt_callback_control_tool_t, 11) /* control tool */ \ + \ + macro (ompt_callback_device_initialize, ompt_callback_device_initialize_t, 12) /* device initialize */ \ + macro (ompt_callback_device_finalize, ompt_callback_device_finalize_t, 13) /* device finalize */ \ + \ + macro (ompt_callback_device_load, ompt_callback_device_load_t, 14) /* device load */ \ + macro (ompt_callback_device_unload, ompt_callback_device_unload_t, 15) /* device unload */ \ + \ + /* Optional Events */ \ + macro (ompt_callback_sync_region_wait, ompt_callback_sync_region_t, 16) /* sync region wait begin or end */ \ + \ + macro (ompt_callback_mutex_released, ompt_callback_mutex_t, 17) /* mutex released */ \ + \ + macro (ompt_callback_dependences, ompt_callback_dependences_t, 18) /* report task dependences */ \ + macro (ompt_callback_task_dependence, ompt_callback_task_dependence_t, 19) /* report task dependence */ \ + \ + macro (ompt_callback_work, ompt_callback_work_t, 20) /* task at work begin or end */ \ + \ + macro (ompt_callback_master, ompt_callback_master_t, 21) /* task at master begin or end */ \ + \ + macro (ompt_callback_target_map, ompt_callback_target_map_t, 22) /* target map */ \ + \ + macro (ompt_callback_sync_region, ompt_callback_sync_region_t, 23) /* sync region begin or end */ \ + \ + macro (ompt_callback_lock_init, ompt_callback_mutex_acquire_t, 24) /* lock init */ \ + macro (ompt_callback_lock_destroy, ompt_callback_mutex_t, 25) /* lock destroy */ \ + \ + macro (ompt_callback_mutex_acquire, ompt_callback_mutex_acquire_t, 26) /* mutex acquire */ \ + macro (ompt_callback_mutex_acquired, ompt_callback_mutex_t, 27) /* mutex acquired */ \ + \ + macro (ompt_callback_nest_lock, ompt_callback_nest_lock_t, 28) /* nest lock */ \ + \ + macro (ompt_callback_flush, ompt_callback_flush_t, 29) /* after executing flush */ \ + \ + macro (ompt_callback_cancel, ompt_callback_cancel_t, 30) /* cancel innermost binding region */ \ + \ + macro (ompt_callback_reduction, ompt_callback_sync_region_t, 31) /* reduction */ \ + \ + macro (ompt_callback_dispatch, ompt_callback_dispatch_t, 32) /* dispatch of work */ + +/***************************************************************************** + * implementation specific types + *****************************************************************************/ + +typedef enum kmp_mutex_impl_t { +#define kmp_mutex_impl_macro(impl, code) impl = code, + FOREACH_KMP_MUTEX_IMPL(kmp_mutex_impl_macro) +#undef kmp_mutex_impl_macro +} kmp_mutex_impl_t; + +/***************************************************************************** + * definitions generated from spec + *****************************************************************************/ + +typedef enum ompt_callbacks_t { + ompt_callback_thread_begin = 1, + ompt_callback_thread_end = 2, + ompt_callback_parallel_begin = 3, + ompt_callback_parallel_end = 4, + ompt_callback_task_create = 5, + ompt_callback_task_schedule = 6, + ompt_callback_implicit_task = 7, + ompt_callback_target = 8, + ompt_callback_target_data_op = 9, + ompt_callback_target_submit = 10, + ompt_callback_control_tool = 11, + ompt_callback_device_initialize = 12, + ompt_callback_device_finalize = 13, + ompt_callback_device_load = 14, + ompt_callback_device_unload = 15, + ompt_callback_sync_region_wait = 16, + ompt_callback_mutex_released = 17, + ompt_callback_dependences = 18, + ompt_callback_task_dependence = 19, + ompt_callback_work = 20, + ompt_callback_master = 21, + ompt_callback_target_map = 22, + ompt_callback_sync_region = 23, + ompt_callback_lock_init = 24, + ompt_callback_lock_destroy = 25, + ompt_callback_mutex_acquire = 26, + ompt_callback_mutex_acquired = 27, + ompt_callback_nest_lock = 28, + ompt_callback_flush = 29, + ompt_callback_cancel = 30, + ompt_callback_reduction = 31, + ompt_callback_dispatch = 32 +} ompt_callbacks_t; + +typedef enum ompt_record_t { + ompt_record_ompt = 1, + ompt_record_native = 2, + ompt_record_invalid = 3 +} ompt_record_t; + +typedef enum ompt_record_native_t { + ompt_record_native_info = 1, + ompt_record_native_event = 2 +} ompt_record_native_t; + +typedef enum ompt_set_result_t { + ompt_set_error = 0, + ompt_set_never = 1, + ompt_set_impossible = 2, + ompt_set_sometimes = 3, + ompt_set_sometimes_paired = 4, + ompt_set_always = 5 +} ompt_set_result_t; + +typedef uint64_t ompt_id_t; + +typedef uint64_t ompt_device_time_t; + +typedef uint64_t ompt_buffer_cursor_t; + +typedef enum ompt_thread_t { + ompt_thread_initial = 1, + ompt_thread_worker = 2, + ompt_thread_other = 3, + ompt_thread_unknown = 4 +} ompt_thread_t; + +typedef enum ompt_scope_endpoint_t { + ompt_scope_begin = 1, + ompt_scope_end = 2 +} ompt_scope_endpoint_t; + +typedef enum ompt_dispatch_t { + ompt_dispatch_iteration = 1, + ompt_dispatch_section = 2 +} ompt_dispatch_t; + +typedef enum ompt_sync_region_t { + ompt_sync_region_barrier = 1, + ompt_sync_region_barrier_implicit = 2, + ompt_sync_region_barrier_explicit = 3, + ompt_sync_region_barrier_implementation = 4, + ompt_sync_region_taskwait = 5, + ompt_sync_region_taskgroup = 6, + ompt_sync_region_reduction = 7 +} ompt_sync_region_t; + +typedef enum ompt_target_data_op_t { + ompt_target_data_alloc = 1, + ompt_target_data_transfer_to_device = 2, + ompt_target_data_transfer_from_device = 3, + ompt_target_data_delete = 4, + ompt_target_data_associate = 5, + ompt_target_data_disassociate = 6 +} ompt_target_data_op_t; + +typedef enum ompt_work_t { + ompt_work_loop = 1, + ompt_work_sections = 2, + ompt_work_single_executor = 3, + ompt_work_single_other = 4, + ompt_work_workshare = 5, + ompt_work_distribute = 6, + ompt_work_taskloop = 7 +} ompt_work_t; + +typedef enum ompt_mutex_t { + ompt_mutex_lock = 1, + ompt_mutex_test_lock = 2, + ompt_mutex_nest_lock = 3, + ompt_mutex_test_nest_lock = 4, + ompt_mutex_critical = 5, + ompt_mutex_atomic = 6, + ompt_mutex_ordered = 7 +} ompt_mutex_t; + +typedef enum ompt_native_mon_flag_t { + ompt_native_data_motion_explicit = 0x01, + ompt_native_data_motion_implicit = 0x02, + ompt_native_kernel_invocation = 0x04, + ompt_native_kernel_execution = 0x08, + ompt_native_driver = 0x10, + ompt_native_runtime = 0x20, + ompt_native_overhead = 0x40, + ompt_native_idleness = 0x80 +} ompt_native_mon_flag_t; + +typedef enum ompt_task_flag_t { + ompt_task_initial = 0x00000001, + ompt_task_implicit = 0x00000002, + ompt_task_explicit = 0x00000004, + ompt_task_target = 0x00000008, + ompt_task_undeferred = 0x08000000, + ompt_task_untied = 0x10000000, + ompt_task_final = 0x20000000, + ompt_task_mergeable = 0x40000000, + ompt_task_merged = 0x80000000 +} ompt_task_flag_t; + +typedef enum ompt_task_status_t { + ompt_task_complete = 1, + ompt_task_yield = 2, + ompt_task_cancel = 3, + ompt_task_detach = 4, + ompt_task_early_fulfill = 5, + ompt_task_late_fulfill = 6, + ompt_task_switch = 7 +} ompt_task_status_t; + +typedef enum ompt_target_t { + ompt_target = 1, + ompt_target_enter_data = 2, + ompt_target_exit_data = 3, + ompt_target_update = 4 +} ompt_target_t; + +typedef enum ompt_parallel_flag_t { + ompt_parallel_invoker_program = 0x00000001, + ompt_parallel_invoker_runtime = 0x00000002, + ompt_parallel_league = 0x40000000, + ompt_parallel_team = 0x80000000 +} ompt_parallel_flag_t; + +typedef enum ompt_target_map_flag_t { + ompt_target_map_flag_to = 0x01, + ompt_target_map_flag_from = 0x02, + ompt_target_map_flag_alloc = 0x04, + ompt_target_map_flag_release = 0x08, + ompt_target_map_flag_delete = 0x10, + ompt_target_map_flag_implicit = 0x20 +} ompt_target_map_flag_t; + +typedef enum ompt_dependence_type_t { + ompt_dependence_type_in = 1, + ompt_dependence_type_out = 2, + ompt_dependence_type_inout = 3, + ompt_dependence_type_mutexinoutset = 4, + ompt_dependence_type_source = 5, + ompt_dependence_type_sink = 6 +} ompt_dependence_type_t; + +typedef enum ompt_cancel_flag_t { + ompt_cancel_parallel = 0x01, + ompt_cancel_sections = 0x02, + ompt_cancel_loop = 0x04, + ompt_cancel_taskgroup = 0x08, + ompt_cancel_activated = 0x10, + ompt_cancel_detected = 0x20, + ompt_cancel_discarded_task = 0x40 +} ompt_cancel_flag_t; + +typedef uint64_t ompt_hwid_t; + +typedef uint64_t ompt_wait_id_t; + +typedef enum ompt_frame_flag_t { + ompt_frame_runtime = 0x00, + ompt_frame_application = 0x01, + ompt_frame_cfa = 0x10, + ompt_frame_framepointer = 0x20, + ompt_frame_stackaddress = 0x30 +} ompt_frame_flag_t; + +typedef enum ompt_state_t { + ompt_state_work_serial = 0x000, + ompt_state_work_parallel = 0x001, + ompt_state_work_reduction = 0x002, + + ompt_state_wait_barrier = 0x010, + ompt_state_wait_barrier_implicit_parallel = 0x011, + ompt_state_wait_barrier_implicit_workshare = 0x012, + ompt_state_wait_barrier_implicit = 0x013, + ompt_state_wait_barrier_explicit = 0x014, + + ompt_state_wait_taskwait = 0x020, + ompt_state_wait_taskgroup = 0x021, + + ompt_state_wait_mutex = 0x040, + ompt_state_wait_lock = 0x041, + ompt_state_wait_critical = 0x042, + ompt_state_wait_atomic = 0x043, + ompt_state_wait_ordered = 0x044, + + ompt_state_wait_target = 0x080, + ompt_state_wait_target_map = 0x081, + ompt_state_wait_target_update = 0x082, + + ompt_state_idle = 0x100, + ompt_state_overhead = 0x101, + ompt_state_undefined = 0x102 +} ompt_state_t; + +typedef uint64_t (*ompt_get_unique_id_t) (void); + +typedef uint64_t ompd_size_t; + +typedef uint64_t ompd_wait_id_t; + +typedef uint64_t ompd_addr_t; +typedef int64_t ompd_word_t; +typedef uint64_t ompd_seg_t; + +typedef uint64_t ompd_device_t; + +typedef uint64_t ompd_thread_id_t; + +typedef enum ompd_scope_t { + ompd_scope_global = 1, + ompd_scope_address_space = 2, + ompd_scope_thread = 3, + ompd_scope_parallel = 4, + ompd_scope_implicit_task = 5, + ompd_scope_task = 6 +} ompd_scope_t; + +typedef uint64_t ompd_icv_id_t; + +typedef enum ompd_rc_t { + ompd_rc_ok = 0, + ompd_rc_unavailable = 1, + ompd_rc_stale_handle = 2, + ompd_rc_bad_input = 3, + ompd_rc_error = 4, + ompd_rc_unsupported = 5, + ompd_rc_needs_state_tracking = 6, + ompd_rc_incompatible = 7, + ompd_rc_device_read_error = 8, + ompd_rc_device_write_error = 9, + ompd_rc_nomem = 10, +} ompd_rc_t; + +typedef void (*ompt_interface_fn_t) (void); + +typedef ompt_interface_fn_t (*ompt_function_lookup_t) ( + const char *interface_function_name +); + +typedef union ompt_data_t { + uint64_t value; + void *ptr; +} ompt_data_t; + +typedef struct ompt_frame_t { + ompt_data_t exit_frame; + ompt_data_t enter_frame; + int exit_frame_flags; + int enter_frame_flags; +} ompt_frame_t; + +typedef void (*ompt_callback_t) (void); + +typedef void ompt_device_t; + +typedef void ompt_buffer_t; + +typedef void (*ompt_callback_buffer_request_t) ( + int device_num, + ompt_buffer_t **buffer, + size_t *bytes +); + +typedef void (*ompt_callback_buffer_complete_t) ( + int device_num, + ompt_buffer_t *buffer, + size_t bytes, + ompt_buffer_cursor_t begin, + int buffer_owned +); + +typedef void (*ompt_finalize_t) ( + ompt_data_t *tool_data +); + +typedef int (*ompt_initialize_t) ( + ompt_function_lookup_t lookup, + int initial_device_num, + ompt_data_t *tool_data +); + +typedef struct ompt_start_tool_result_t { + ompt_initialize_t initialize; + ompt_finalize_t finalize; + ompt_data_t tool_data; +} ompt_start_tool_result_t; + +typedef struct ompt_record_abstract_t { + ompt_record_native_t rclass; + const char *type; + ompt_device_time_t start_time; + ompt_device_time_t end_time; + ompt_hwid_t hwid; +} ompt_record_abstract_t; + +typedef struct ompt_dependence_t { + ompt_data_t variable; + ompt_dependence_type_t dependence_type; +} ompt_dependence_t; + +typedef int (*ompt_enumerate_states_t) ( + int current_state, + int *next_state, + const char **next_state_name +); + +typedef int (*ompt_enumerate_mutex_impls_t) ( + int current_impl, + int *next_impl, + const char **next_impl_name +); + +typedef ompt_set_result_t (*ompt_set_callback_t) ( + ompt_callbacks_t event, + ompt_callback_t callback +); + +typedef int (*ompt_get_callback_t) ( + ompt_callbacks_t event, + ompt_callback_t *callback +); + +typedef ompt_data_t *(*ompt_get_thread_data_t) (void); + +typedef int (*ompt_get_num_procs_t) (void); + +typedef int (*ompt_get_num_places_t) (void); + +typedef int (*ompt_get_place_proc_ids_t) ( + int place_num, + int ids_size, + int *ids +); + +typedef int (*ompt_get_place_num_t) (void); + +typedef int (*ompt_get_partition_place_nums_t) ( + int place_nums_size, + int *place_nums +); + +typedef int (*ompt_get_proc_id_t) (void); + +typedef int (*ompt_get_state_t) ( + ompt_wait_id_t *wait_id +); + +typedef int (*ompt_get_parallel_info_t) ( + int ancestor_level, + ompt_data_t **parallel_data, + int *team_size +); + +typedef int (*ompt_get_task_info_t) ( + int ancestor_level, + int *flags, + ompt_data_t **task_data, + ompt_frame_t **task_frame, + ompt_data_t **parallel_data, + int *thread_num +); + +typedef int (*ompt_get_task_memory_t)( + void **addr, + size_t *size, + int block +); + +typedef int (*ompt_get_target_info_t) ( + uint64_t *device_num, + ompt_id_t *target_id, + ompt_id_t *host_op_id +); + +typedef int (*ompt_get_num_devices_t) (void); + +typedef void (*ompt_finalize_tool_t) (void); + +typedef int (*ompt_get_device_num_procs_t) ( + ompt_device_t *device +); + +typedef ompt_device_time_t (*ompt_get_device_time_t) ( + ompt_device_t *device +); + +typedef double (*ompt_translate_time_t) ( + ompt_device_t *device, + ompt_device_time_t time +); + +typedef ompt_set_result_t (*ompt_set_trace_ompt_t) ( + ompt_device_t *device, + unsigned int enable, + unsigned int etype +); + +typedef ompt_set_result_t (*ompt_set_trace_native_t) ( + ompt_device_t *device, + int enable, + int flags +); + +typedef int (*ompt_start_trace_t) ( + ompt_device_t *device, + ompt_callback_buffer_request_t request, + ompt_callback_buffer_complete_t complete +); + +typedef int (*ompt_pause_trace_t) ( + ompt_device_t *device, + int begin_pause +); + +typedef int (*ompt_flush_trace_t) ( + ompt_device_t *device +); + +typedef int (*ompt_stop_trace_t) ( + ompt_device_t *device +); + +typedef int (*ompt_advance_buffer_cursor_t) ( + ompt_device_t *device, + ompt_buffer_t *buffer, + size_t size, + ompt_buffer_cursor_t current, + ompt_buffer_cursor_t *next +); + +typedef ompt_record_t (*ompt_get_record_type_t) ( + ompt_buffer_t *buffer, + ompt_buffer_cursor_t current +); + +typedef void *(*ompt_get_record_native_t) ( + ompt_buffer_t *buffer, + ompt_buffer_cursor_t current, + ompt_id_t *host_op_id +); + +typedef ompt_record_abstract_t * +(*ompt_get_record_abstract_t) ( + void *native_record +); + +typedef void (*ompt_callback_thread_begin_t) ( + ompt_thread_t thread_type, + ompt_data_t *thread_data +); + +typedef struct ompt_record_thread_begin_t { + ompt_thread_t thread_type; +} ompt_record_thread_begin_t; + +typedef void (*ompt_callback_thread_end_t) ( + ompt_data_t *thread_data +); + +typedef void (*ompt_callback_parallel_begin_t) ( + ompt_data_t *encountering_task_data, + const ompt_frame_t *encountering_task_frame, + ompt_data_t *parallel_data, + unsigned int requested_parallelism, + int flags, + const void *codeptr_ra +); + +typedef struct ompt_record_parallel_begin_t { + ompt_id_t encountering_task_id; + ompt_id_t parallel_id; + unsigned int requested_parallelism; + int flags; + const void *codeptr_ra; +} ompt_record_parallel_begin_t; + +typedef void (*ompt_callback_parallel_end_t) ( + ompt_data_t *parallel_data, + ompt_data_t *encountering_task_data, + int flags, + const void *codeptr_ra +); + +typedef struct ompt_record_parallel_end_t { + ompt_id_t parallel_id; + ompt_id_t encountering_task_id; + int flags; + const void *codeptr_ra; +} ompt_record_parallel_end_t; + +typedef void (*ompt_callback_work_t) ( + ompt_work_t wstype, + ompt_scope_endpoint_t endpoint, + ompt_data_t *parallel_data, + ompt_data_t *task_data, + uint64_t count, + const void *codeptr_ra +); + +typedef struct ompt_record_work_t { + ompt_work_t wstype; + ompt_scope_endpoint_t endpoint; + ompt_id_t parallel_id; + ompt_id_t task_id; + uint64_t count; + const void *codeptr_ra; +} ompt_record_work_t; + +typedef void (*ompt_callback_dispatch_t) ( + ompt_data_t *parallel_data, + ompt_data_t *task_data, + ompt_dispatch_t kind, + ompt_data_t instance +); + +typedef struct ompt_record_dispatch_t { + ompt_id_t parallel_id; + ompt_id_t task_id; + ompt_dispatch_t kind; + ompt_data_t instance; +} ompt_record_dispatch_t; + +typedef void (*ompt_callback_task_create_t) ( + ompt_data_t *encountering_task_data, + const ompt_frame_t *encountering_task_frame, + ompt_data_t *new_task_data, + int flags, + int has_dependences, + const void *codeptr_ra +); + +typedef struct ompt_record_task_create_t { + ompt_id_t encountering_task_id; + ompt_id_t new_task_id; + int flags; + int has_dependences; + const void *codeptr_ra; +} ompt_record_task_create_t; + +typedef void (*ompt_callback_dependences_t) ( + ompt_data_t *task_data, + const ompt_dependence_t *deps, + int ndeps +); + +typedef struct ompt_record_dependences_t { + ompt_id_t task_id; + ompt_dependence_t dep; + int ndeps; +} ompt_record_dependences_t; + +typedef void (*ompt_callback_task_dependence_t) ( + ompt_data_t *src_task_data, + ompt_data_t *sink_task_data +); + +typedef struct ompt_record_task_dependence_t { + ompt_id_t src_task_id; + ompt_id_t sink_task_id; +} ompt_record_task_dependence_t; + +typedef void (*ompt_callback_task_schedule_t) ( + ompt_data_t *prior_task_data, + ompt_task_status_t prior_task_status, + ompt_data_t *next_task_data +); + +typedef struct ompt_record_task_schedule_t { + ompt_id_t prior_task_id; + ompt_task_status_t prior_task_status; + ompt_id_t next_task_id; +} ompt_record_task_schedule_t; + +typedef void (*ompt_callback_implicit_task_t) ( + ompt_scope_endpoint_t endpoint, + ompt_data_t *parallel_data, + ompt_data_t *task_data, + unsigned int actual_parallelism, + unsigned int index, + int flags +); + +typedef struct ompt_record_implicit_task_t { + ompt_scope_endpoint_t endpoint; + ompt_id_t parallel_id; + ompt_id_t task_id; + unsigned int actual_parallelism; + unsigned int index; + int flags; +} ompt_record_implicit_task_t; + +typedef void (*ompt_callback_master_t) ( + ompt_scope_endpoint_t endpoint, + ompt_data_t *parallel_data, + ompt_data_t *task_data, + const void *codeptr_ra +); + +typedef struct ompt_record_master_t { + ompt_scope_endpoint_t endpoint; + ompt_id_t parallel_id; + ompt_id_t task_id; + const void *codeptr_ra; +} ompt_record_master_t; + +typedef void (*ompt_callback_sync_region_t) ( + ompt_sync_region_t kind, + ompt_scope_endpoint_t endpoint, + ompt_data_t *parallel_data, + ompt_data_t *task_data, + const void *codeptr_ra +); + +typedef struct ompt_record_sync_region_t { + ompt_sync_region_t kind; + ompt_scope_endpoint_t endpoint; + ompt_id_t parallel_id; + ompt_id_t task_id; + const void *codeptr_ra; +} ompt_record_sync_region_t; + +typedef void (*ompt_callback_mutex_acquire_t) ( + ompt_mutex_t kind, + unsigned int hint, + unsigned int impl, + ompt_wait_id_t wait_id, + const void *codeptr_ra +); + +typedef struct ompt_record_mutex_acquire_t { + ompt_mutex_t kind; + unsigned int hint; + unsigned int impl; + ompt_wait_id_t wait_id; + const void *codeptr_ra; +} ompt_record_mutex_acquire_t; + +typedef void (*ompt_callback_mutex_t) ( + ompt_mutex_t kind, + ompt_wait_id_t wait_id, + const void *codeptr_ra +); + +typedef struct ompt_record_mutex_t { + ompt_mutex_t kind; + ompt_wait_id_t wait_id; + const void *codeptr_ra; +} ompt_record_mutex_t; + +typedef void (*ompt_callback_nest_lock_t) ( + ompt_scope_endpoint_t endpoint, + ompt_wait_id_t wait_id, + const void *codeptr_ra +); + +typedef struct ompt_record_nest_lock_t { + ompt_scope_endpoint_t endpoint; + ompt_wait_id_t wait_id; + const void *codeptr_ra; +} ompt_record_nest_lock_t; + +typedef void (*ompt_callback_flush_t) ( + ompt_data_t *thread_data, + const void *codeptr_ra +); + +typedef struct ompt_record_flush_t { + const void *codeptr_ra; +} ompt_record_flush_t; + +typedef void (*ompt_callback_cancel_t) ( + ompt_data_t *task_data, + int flags, + const void *codeptr_ra +); + +typedef struct ompt_record_cancel_t { + ompt_id_t task_id; + int flags; + const void *codeptr_ra; +} ompt_record_cancel_t; + +typedef void (*ompt_callback_device_initialize_t) ( + int device_num, + const char *type, + ompt_device_t *device, + ompt_function_lookup_t lookup, + const char *documentation +); + +typedef void (*ompt_callback_device_finalize_t) ( + int device_num +); + +typedef void (*ompt_callback_device_load_t) ( + int device_num, + const char *filename, + int64_t offset_in_file, + void *vma_in_file, + size_t bytes, + void *host_addr, + void *device_addr, + uint64_t module_id +); + +typedef void (*ompt_callback_device_unload_t) ( + int device_num, + uint64_t module_id +); + +typedef void (*ompt_callback_target_data_op_t) ( + ompt_id_t target_id, + ompt_id_t host_op_id, + ompt_target_data_op_t optype, + void *src_addr, + int src_device_num, + void *dest_addr, + int dest_device_num, + size_t bytes, + const void *codeptr_ra +); + +typedef struct ompt_record_target_data_op_t { + ompt_id_t host_op_id; + ompt_target_data_op_t optype; + void *src_addr; + int src_device_num; + void *dest_addr; + int dest_device_num; + size_t bytes; + ompt_device_time_t end_time; + const void *codeptr_ra; +} ompt_record_target_data_op_t; + +typedef void (*ompt_callback_target_t) ( + ompt_target_t kind, + ompt_scope_endpoint_t endpoint, + int device_num, + ompt_data_t *task_data, + ompt_id_t target_id, + const void *codeptr_ra +); + +typedef struct ompt_record_target_t { + ompt_target_t kind; + ompt_scope_endpoint_t endpoint; + int device_num; + ompt_id_t task_id; + ompt_id_t target_id; + const void *codeptr_ra; +} ompt_record_target_t; + +typedef void (*ompt_callback_target_map_t) ( + ompt_id_t target_id, + unsigned int nitems, + void **host_addr, + void **device_addr, + size_t *bytes, + unsigned int *mapping_flags, + const void *codeptr_ra +); + +typedef struct ompt_record_target_map_t { + ompt_id_t target_id; + unsigned int nitems; + void **host_addr; + void **device_addr; + size_t *bytes; + unsigned int *mapping_flags; + const void *codeptr_ra; +} ompt_record_target_map_t; + +typedef void (*ompt_callback_target_submit_t) ( + ompt_id_t target_id, + ompt_id_t host_op_id, + unsigned int requested_num_teams +); + +typedef struct ompt_record_target_kernel_t { + ompt_id_t host_op_id; + unsigned int requested_num_teams; + unsigned int granted_num_teams; + ompt_device_time_t end_time; +} ompt_record_target_kernel_t; + +typedef int (*ompt_callback_control_tool_t) ( + uint64_t command, + uint64_t modifier, + void *arg, + const void *codeptr_ra +); + +typedef struct ompt_record_control_tool_t { + uint64_t command; + uint64_t modifier; + const void *codeptr_ra; +} ompt_record_control_tool_t; + +typedef struct ompd_address_t { + ompd_seg_t segment; + ompd_addr_t address; +} ompd_address_t; + +typedef struct ompd_frame_info_t { + ompd_address_t frame_address; + ompd_word_t frame_flag; +} ompd_frame_info_t; + +typedef struct _ompd_aspace_handle ompd_address_space_handle_t; +typedef struct _ompd_thread_handle ompd_thread_handle_t; +typedef struct _ompd_parallel_handle ompd_parallel_handle_t; +typedef struct _ompd_task_handle ompd_task_handle_t; + +typedef struct _ompd_aspace_cont ompd_address_space_context_t; +typedef struct _ompd_thread_cont ompd_thread_context_t; + +typedef struct ompd_device_type_sizes_t { + uint8_t sizeof_char; + uint8_t sizeof_short; + uint8_t sizeof_int; + uint8_t sizeof_long; + uint8_t sizeof_long_long; + uint8_t sizeof_pointer; +} ompd_device_type_sizes_t; + +typedef struct ompt_record_ompt_t { + ompt_callbacks_t type; + ompt_device_time_t time; + ompt_id_t thread_id; + ompt_id_t target_id; + union { + ompt_record_thread_begin_t thread_begin; + ompt_record_parallel_begin_t parallel_begin; + ompt_record_parallel_end_t parallel_end; + ompt_record_work_t work; + ompt_record_dispatch_t dispatch; + ompt_record_task_create_t task_create; + ompt_record_dependences_t dependences; + ompt_record_task_dependence_t task_dependence; + ompt_record_task_schedule_t task_schedule; + ompt_record_implicit_task_t implicit_task; + ompt_record_master_t master; + ompt_record_sync_region_t sync_region; + ompt_record_mutex_acquire_t mutex_acquire; + ompt_record_mutex_t mutex; + ompt_record_nest_lock_t nest_lock; + ompt_record_flush_t flush; + ompt_record_cancel_t cancel; + ompt_record_target_t target; + ompt_record_target_data_op_t target_data_op; + ompt_record_target_map_t target_map; + ompt_record_target_kernel_t target_kernel; + ompt_record_control_tool_t control_tool; + } record; +} ompt_record_ompt_t; + +typedef ompt_record_ompt_t *(*ompt_get_record_ompt_t) ( + ompt_buffer_t *buffer, + ompt_buffer_cursor_t current +); + +#define ompt_id_none 0 +#define ompt_data_none {0} +#define ompt_time_none 0 +#define ompt_hwid_none 0 +#define ompt_addr_none ~0 +#define ompt_mutex_impl_none 0 +#define ompt_wait_id_none 0 + +#define ompd_segment_none 0 + +#endif /* __OMPT__ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_cupti/include/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..e983baa9dfcd343d108296bacb9a51d570b0688a Binary files /dev/null and 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0000000000000000000000000000000000000000..5f4ab67f81ae661f17628f857c4f6d73711e7d0a --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_nvrtc/include/nvrtc.h @@ -0,0 +1,845 @@ +// +// NVIDIA_COPYRIGHT_BEGIN +// +// Copyright (c) 2014-2023, NVIDIA CORPORATION. All rights reserved. +// +// NVIDIA CORPORATION and its licensors retain all intellectual property +// and proprietary rights in and to this software, related documentation +// and any modifications thereto. Any use, reproduction, disclosure or +// distribution of this software and related documentation without an express +// license agreement from NVIDIA CORPORATION is strictly prohibited. +// +// NVIDIA_COPYRIGHT_END +// + +#ifndef __NVRTC_H__ +#define __NVRTC_H__ + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +#include + + +/*************************************************************************//** + * + * \defgroup error Error Handling + * + * NVRTC defines the following enumeration type and function for API call + * error handling. + * + ****************************************************************************/ + + +/** + * \ingroup error + * \brief The enumerated type nvrtcResult defines API call result codes. + * NVRTC API functions return nvrtcResult to indicate the call + * result. + */ +typedef enum { + NVRTC_SUCCESS = 0, + NVRTC_ERROR_OUT_OF_MEMORY = 1, + NVRTC_ERROR_PROGRAM_CREATION_FAILURE = 2, + NVRTC_ERROR_INVALID_INPUT = 3, + NVRTC_ERROR_INVALID_PROGRAM = 4, + NVRTC_ERROR_INVALID_OPTION = 5, + NVRTC_ERROR_COMPILATION = 6, + NVRTC_ERROR_BUILTIN_OPERATION_FAILURE = 7, + NVRTC_ERROR_NO_NAME_EXPRESSIONS_AFTER_COMPILATION = 8, + NVRTC_ERROR_NO_LOWERED_NAMES_BEFORE_COMPILATION = 9, + NVRTC_ERROR_NAME_EXPRESSION_NOT_VALID = 10, + NVRTC_ERROR_INTERNAL_ERROR = 11, + NVRTC_ERROR_TIME_FILE_WRITE_FAILED = 12 +} nvrtcResult; + + +/** + * \ingroup error + * \brief nvrtcGetErrorString is a helper function that returns a string + * describing the given nvrtcResult code, e.g., NVRTC_SUCCESS to + * \c "NVRTC_SUCCESS". + * For unrecognized enumeration values, it returns + * \c "NVRTC_ERROR unknown". + * + * \param [in] result CUDA Runtime Compilation API result code. + * \return Message string for the given #nvrtcResult code. + */ +const char *nvrtcGetErrorString(nvrtcResult result); + + +/*************************************************************************//** + * + * \defgroup query General Information Query + * + * NVRTC defines the following function for general information query. + * + ****************************************************************************/ + + +/** + * \ingroup query + * \brief nvrtcVersion sets the output parameters \p major and \p minor + * with the CUDA Runtime Compilation version number. + * + * \param [out] major CUDA Runtime Compilation major version number. + * \param [out] minor CUDA Runtime Compilation minor version number. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * + */ +nvrtcResult nvrtcVersion(int *major, int *minor); + + +/** + * \ingroup query + * \brief nvrtcGetNumSupportedArchs sets the output parameter \p numArchs + * with the number of architectures supported by NVRTC. This can + * then be used to pass an array to ::nvrtcGetSupportedArchs to + * get the supported architectures. + * + * \param [out] numArchs number of supported architectures. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * + * see ::nvrtcGetSupportedArchs + */ +nvrtcResult nvrtcGetNumSupportedArchs(int* numArchs); + + +/** + * \ingroup query + * \brief nvrtcGetSupportedArchs populates the array passed via the output parameter + * \p supportedArchs with the architectures supported by NVRTC. The array is + * sorted in the ascending order. The size of the array to be passed can be + * determined using ::nvrtcGetNumSupportedArchs. + * + * \param [out] supportedArchs sorted array of supported architectures. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * + * see ::nvrtcGetNumSupportedArchs + */ +nvrtcResult nvrtcGetSupportedArchs(int* supportedArchs); + + +/*************************************************************************//** + * + * \defgroup compilation Compilation + * + * NVRTC defines the following type and functions for actual compilation. + * + ****************************************************************************/ + + +/** + * \ingroup compilation + * \brief nvrtcProgram is the unit of compilation, and an opaque handle for + * a program. + * + * To compile a CUDA program string, an instance of nvrtcProgram must be + * created first with ::nvrtcCreateProgram, then compiled with + * ::nvrtcCompileProgram. + */ +typedef struct _nvrtcProgram *nvrtcProgram; + + +/** + * \ingroup compilation + * \brief nvrtcCreateProgram creates an instance of nvrtcProgram with the + * given input parameters, and sets the output parameter \p prog with + * it. + * + * \param [out] prog CUDA Runtime Compilation program. + * \param [in] src CUDA program source. + * \param [in] name CUDA program name.\n + * \p name can be \c NULL; \c "default_program" is + * used when \p name is \c NULL or "". + * \param [in] numHeaders Number of headers used.\n + * \p numHeaders must be greater than or equal to 0. + * \param [in] headers Sources of the headers.\n + * \p headers can be \c NULL when \p numHeaders is + * 0. + * \param [in] includeNames Name of each header by which they can be + * included in the CUDA program source.\n + * \p includeNames can be \c NULL when \p numHeaders + * is 0. These headers must be included with the exact + * names specified here. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_OUT_OF_MEMORY \endlink + * - \link #nvrtcResult NVRTC_ERROR_PROGRAM_CREATION_FAILURE \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcDestroyProgram + */ +nvrtcResult nvrtcCreateProgram(nvrtcProgram *prog, + const char *src, + const char *name, + int numHeaders, + const char * const *headers, + const char * const *includeNames); + + +/** + * \ingroup compilation + * \brief nvrtcDestroyProgram destroys the given program. + * + * \param [in] prog CUDA Runtime Compilation program. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcCreateProgram + */ +nvrtcResult nvrtcDestroyProgram(nvrtcProgram *prog); + + +/** + * \ingroup compilation + * \brief nvrtcCompileProgram compiles the given program. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [in] numOptions Number of compiler options passed. + * \param [in] options Compiler options in the form of C string array.\n + * \p options can be \c NULL when \p numOptions is 0. + * + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_OUT_OF_MEMORY \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_OPTION \endlink + * - \link #nvrtcResult NVRTC_ERROR_COMPILATION \endlink + * - \link #nvrtcResult NVRTC_ERROR_BUILTIN_OPERATION_FAILURE \endlink + * - \link #nvrtcResult NVRTC_ERROR_TIME_FILE_WRITE_FAILED \endlink + * + * It supports compile options listed in \ref options. + */ +nvrtcResult nvrtcCompileProgram(nvrtcProgram prog, + int numOptions, const char * const *options); + + +/** + * \ingroup compilation + * \brief nvrtcGetPTXSize sets the value of \p ptxSizeRet with the size of the PTX + * generated by the previous compilation of \p prog (including the + * trailing \c NULL). + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] ptxSizeRet Size of the generated PTX (including the trailing + * \c NULL). + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetPTX + */ +nvrtcResult nvrtcGetPTXSize(nvrtcProgram prog, size_t *ptxSizeRet); + + +/** + * \ingroup compilation + * \brief nvrtcGetPTX stores the PTX generated by the previous compilation + * of \p prog in the memory pointed by \p ptx. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] ptx Compiled result. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetPTXSize + */ +nvrtcResult nvrtcGetPTX(nvrtcProgram prog, char *ptx); + + +/** + * \ingroup compilation + * \brief nvrtcGetCUBINSize sets the value of \p cubinSizeRet with the size of the cubin + * generated by the previous compilation of \p prog. The value of + * cubinSizeRet is set to 0 if the value specified to \c -arch is a + * virtual architecture instead of an actual architecture. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] cubinSizeRet Size of the generated cubin. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetCUBIN + */ +nvrtcResult nvrtcGetCUBINSize(nvrtcProgram prog, size_t *cubinSizeRet); + + +/** + * \ingroup compilation + * \brief nvrtcGetCUBIN stores the cubin generated by the previous compilation + * of \p prog in the memory pointed by \p cubin. No cubin is available + * if the value specified to \c -arch is a virtual architecture instead + * of an actual architecture. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] cubin Compiled and assembled result. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetCUBINSize + */ +nvrtcResult nvrtcGetCUBIN(nvrtcProgram prog, char *cubin); + + +#if defined(_WIN32) +# define __DEPRECATED__(msg) __declspec(deprecated(msg)) +#elif (defined(__GNUC__) && (__GNUC__ < 4 || (__GNUC__ == 4 && __GNUC_MINOR__ < 5 && !defined(__clang__)))) +# define __DEPRECATED__(msg) __attribute__((deprecated)) +#elif (defined(__GNUC__)) +# define __DEPRECATED__(msg) __attribute__((deprecated(msg))) +#else +# define __DEPRECATED__(msg) +#endif + +/** + * \ingroup compilation + * \brief + * DEPRECATION NOTICE: This function will be removed in a future release. Please use + * nvrtcGetLTOIRSize (and nvrtcGetLTOIR) instead. + */ +__DEPRECATED__("This function will be removed in a future release. Please use nvrtcGetLTOIRSize instead") +nvrtcResult nvrtcGetNVVMSize(nvrtcProgram prog, size_t *nvvmSizeRet); + +/** + * \ingroup compilation + * \brief + * DEPRECATION NOTICE: This function will be removed in a future release. Please use + * nvrtcGetLTOIR (and nvrtcGetLTOIRSize) instead. + */ +__DEPRECATED__("This function will be removed in a future release. Please use nvrtcGetLTOIR instead") +nvrtcResult nvrtcGetNVVM(nvrtcProgram prog, char *nvvm); + +#undef __DEPRECATED__ + +/** + * \ingroup compilation + * \brief nvrtcGetLTOIRSize sets the value of \p LTOIRSizeRet with the size of the LTO IR + * generated by the previous compilation of \p prog. The value of + * LTOIRSizeRet is set to 0 if the program was not compiled with + * \c -dlto. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] LTOIRSizeRet Size of the generated LTO IR. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetLTOIR + */ +nvrtcResult nvrtcGetLTOIRSize(nvrtcProgram prog, size_t *LTOIRSizeRet); + + +/** + * \ingroup compilation + * \brief nvrtcGetLTOIR stores the LTO IR generated by the previous compilation + * of \p prog in the memory pointed by \p LTOIR. No LTO IR is available + * if the program was compiled without \c -dlto. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] LTOIR Compiled result. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetLTOIRSize + */ +nvrtcResult nvrtcGetLTOIR(nvrtcProgram prog, char *LTOIR); + + +/** + * \ingroup compilation + * \brief nvrtcGetOptiXIRSize sets the value of \p optixirSizeRet with the size of the OptiX IR + * generated by the previous compilation of \p prog. The value of + * nvrtcGetOptiXIRSize is set to 0 if the program was compiled with + * options incompatible with OptiX IR generation. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] optixirSizeRet Size of the generated LTO IR. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetOptiXIR + */ +nvrtcResult nvrtcGetOptiXIRSize(nvrtcProgram prog, size_t *optixirSizeRet); + + +/** + * \ingroup compilation + * \brief nvrtcGetOptiXIR stores the OptiX IR generated by the previous compilation + * of \p prog in the memory pointed by \p optixir. No OptiX IR is available + * if the program was compiled with options incompatible with OptiX IR generation. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] Optix IR Compiled result. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetOptiXIRSize + */ +nvrtcResult nvrtcGetOptiXIR(nvrtcProgram prog, char *optixir); + +/** + * \ingroup compilation + * \brief nvrtcGetProgramLogSize sets \p logSizeRet with the size of the + * log generated by the previous compilation of \p prog (including the + * trailing \c NULL). + * + * Note that compilation log may be generated with warnings and informative + * messages, even when the compilation of \p prog succeeds. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] logSizeRet Size of the compilation log + * (including the trailing \c NULL). + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetProgramLog + */ +nvrtcResult nvrtcGetProgramLogSize(nvrtcProgram prog, size_t *logSizeRet); + + +/** + * \ingroup compilation + * \brief nvrtcGetProgramLog stores the log generated by the previous + * compilation of \p prog in the memory pointed by \p log. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [out] log Compilation log. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_INPUT \endlink + * - \link #nvrtcResult NVRTC_ERROR_INVALID_PROGRAM \endlink + * + * \see ::nvrtcGetProgramLogSize + */ +nvrtcResult nvrtcGetProgramLog(nvrtcProgram prog, char *log); + + +/** + * \ingroup compilation + * \brief nvrtcAddNameExpression notes the given name expression + * denoting the address of a __global__ function + * or __device__/__constant__ variable. + * + * The identical name expression string must be provided on a subsequent + * call to nvrtcGetLoweredName to extract the lowered name. + * \param [in] prog CUDA Runtime Compilation program. + * \param [in] name_expression constant expression denoting the address of + * a __global__ function or __device__/__constant__ variable. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_NO_NAME_EXPRESSIONS_AFTER_COMPILATION \endlink + * + * \see ::nvrtcGetLoweredName + */ +nvrtcResult nvrtcAddNameExpression(nvrtcProgram prog, + const char * const name_expression); + +/** + * \ingroup compilation + * \brief nvrtcGetLoweredName extracts the lowered (mangled) name + * for a __global__ function or __device__/__constant__ variable, + * and updates *lowered_name to point to it. The memory containing + * the name is released when the NVRTC program is destroyed by + * nvrtcDestroyProgram. + * The identical name expression must have been previously + * provided to nvrtcAddNameExpression. + * + * \param [in] prog CUDA Runtime Compilation program. + * \param [in] name_expression constant expression denoting the address of + * a __global__ function or __device__/__constant__ variable. + * \param [out] lowered_name initialized by the function to point to a + * C string containing the lowered (mangled) + * name corresponding to the provided name expression. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_NO_LOWERED_NAMES_BEFORE_COMPILATION \endlink + * - \link #nvrtcResult NVRTC_ERROR_NAME_EXPRESSION_NOT_VALID \endlink + * + * \see ::nvrtcAddNameExpression + */ +nvrtcResult nvrtcGetLoweredName(nvrtcProgram prog, + const char *const name_expression, + const char** lowered_name); + + +/** + * \defgroup options Supported Compile Options + * + * NVRTC supports the compile options below. + * Option names with two preceding dashs (\c --) are long option names and + * option names with one preceding dash (\c -) are short option names. + * Short option names can be used instead of long option names. + * When a compile option takes an argument, an assignment operator (\c =) + * is used to separate the compile option argument from the compile option + * name, e.g., \c "--gpu-architecture=compute_60". + * Alternatively, the compile option name and the argument can be specified in + * separate strings without an assignment operator, .e.g, + * \c "--gpu-architecture" \c "compute_60". + * Single-character short option names, such as \c -D, \c -U, and \c -I, do + * not require an assignment operator, and the compile option name and the + * argument can be present in the same string with or without spaces between + * them. + * For instance, \c "-D=", \c "-D", and \c "-D " are all + * supported. + * + * The valid compiler options are: + * + * - Compilation targets + * - \c --gpu-architecture=\ (\c -arch)\n + * Specify the name of the class of GPU architectures for which the + * input must be compiled.\n + * - Valid \s: + * - \c compute_50 + * - \c compute_52 + * - \c compute_53 + * - \c compute_60 + * - \c compute_61 + * - \c compute_62 + * - \c compute_70 + * - \c compute_72 + * - \c compute_75 + * - \c compute_80 + * - \c compute_87 + * - \c compute_89 + * - \c compute_90 + * - \c compute_90a + * - \c sm_50 + * - \c sm_52 + * - \c sm_53 + * - \c sm_60 + * - \c sm_61 + * - \c sm_62 + * - \c sm_70 + * - \c sm_72 + * - \c sm_75 + * - \c sm_80 + * - \c sm_87 + * - \c sm_89 + * - \c sm_90 + * - \c sm_90a + * - Default: \c compute_52 + * - Separate compilation / whole-program compilation + * - \c --device-c (\c -dc)\n + * Generate relocatable code that can be linked with other relocatable + * device code. It is equivalent to --relocatable-device-code=true. + * - \c --device-w (\c -dw)\n + * Generate non-relocatable code. It is equivalent to + * \c --relocatable-device-code=false. + * - \c --relocatable-device-code={true|false} (\c -rdc)\n + * Enable (disable) the generation of relocatable device code. + * - Default: \c false + * - \c --extensible-whole-program (\c -ewp)\n + * Do extensible whole program compilation of device code. + * - Default: \c false + * - Debugging support + * - \c --device-debug (\c -G)\n + * Generate debug information. If --dopt is not specified, + * then turns off all optimizations. + * - \c --generate-line-info (\c -lineinfo)\n + * Generate line-number information. + * - Code generation + * - \c --dopt on (\c -dopt)\n + * - \c --dopt=on \n + * Enable device code optimization. When specified along with '-G', enables + * limited debug information generation for optimized device code (currently, + * only line number information). + * When '-G' is not specified, '-dopt=on' is implicit. + * - \c --ptxas-options \ (\c -Xptxas)\n + * - \c --ptxas-options=\ \n + * Specify options directly to ptxas, the PTX optimizing assembler. + * - \c --maxrregcount=\ (\c -maxrregcount)\n + * Specify the maximum amount of registers that GPU functions can use. + * Until a function-specific limit, a higher value will generally + * increase the performance of individual GPU threads that execute this + * function. However, because thread registers are allocated from a + * global register pool on each GPU, a higher value of this option will + * also reduce the maximum thread block size, thereby reducing the amount + * of thread parallelism. Hence, a good maxrregcount value is the result + * of a trade-off. If this option is not specified, then no maximum is + * assumed. Value less than the minimum registers required by ABI will + * be bumped up by the compiler to ABI minimum limit. + * - \c --ftz={true|false} (\c -ftz)\n + * When performing single-precision floating-point operations, flush + * denormal values to zero or preserve denormal values. + * \c --use_fast_math implies \c --ftz=true. + * - Default: \c false + * - \c --prec-sqrt={true|false} (\c -prec-sqrt)\n + * For single-precision floating-point square root, use IEEE + * round-to-nearest mode or use a faster approximation. + * \c --use_fast_math implies \c --prec-sqrt=false. + * - Default: \c true + * - \c --prec-div={true|false} (\c -prec-div)\n + * For single-precision floating-point division and reciprocals, use IEEE + * round-to-nearest mode or use a faster approximation. + * \c --use_fast_math implies \c --prec-div=false. + * - Default: \c true + * - \c --fmad={true|false} (\c -fmad)\n + * Enables (disables) the contraction of floating-point multiplies and + * adds/subtracts into floating-point multiply-add operations (FMAD, + * FFMA, or DFMA). \c --use_fast_math implies \c --fmad=true. + * - Default: \c true + * - \c --use_fast_math (\c -use_fast_math)\n + * Make use of fast math operations. + * \c --use_fast_math implies \c --ftz=true \c --prec-div=false + * \c --prec-sqrt=false \c --fmad=true. + * - \c --extra-device-vectorization (\c -extra-device-vectorization)\n + * Enables more aggressive device code vectorization in the NVVM optimizer. + * - \c --modify-stack-limit={true|false} (\c -modify-stack-limit)\n + * On Linux, during compilation, use \c setrlimit() to increase stack size + * to maximum allowed. The limit is reset to the previous value at the + * end of compilation. + * Note: \c setrlimit() changes the value for the entire process. + * - Default: \c true + * - \c --dlink-time-opt (\c -dlto)\n + * Generate intermediate code for later link-time optimization. + * It implies \c -rdc=true. + * Note: when this option is used the nvrtcGetLTOIR API should be used, + * as PTX or Cubin will not be generated. + * - \c --gen-opt-lto (\c -gen-opt-lto)\n + * Run the optimizer passes before generating the LTO IR. + * - \c --optix-ir (\c -optix-ir)\n + * Generate OptiX IR. The Optix IR is only intended for consumption by OptiX + * through appropriate APIs. This feature is not supported with + * link-time-optimization (\c -dlto)\n. + * Note: when this option is used the nvrtcGetOptiX API should be used, + * as PTX or Cubin will not be generated. + * - Preprocessing + * - \c --define-macro=\ (\c -D)\n + * \c \ can be either \c \ or \c \. + * - \c \ \n + * Predefine \c \ as a macro with definition \c 1. + * - \c \=\ \n + * The contents of \c \ are tokenized and preprocessed + * as if they appeared during translation phase three in a \c \#define + * directive. In particular, the definition will be truncated by + * embedded new line characters. + * - \c --undefine-macro=\ (\c -U)\n + * Cancel any previous definition of \c \. + * - \c --include-path=\ (\c -I)\n + * Add the directory \c \ to the list of directories to be + * searched for headers. These paths are searched after the list of + * headers given to ::nvrtcCreateProgram. + * - \c --pre-include=\ (\c -include)\n + * Preinclude \c \ during preprocessing. + * - \c --no-source-include (\c -no-source-include) + * The preprocessor by default adds the directory of each input sources + * to the include path. This option disables this feature and only + * considers the path specified explicitly. + * - Language Dialect + * - \c --std={c++03|c++11|c++14|c++17|c++20} + * (\c -std={c++11|c++14|c++17|c++20})\n + * Set language dialect to C++03, C++11, C++14, C++17 or C++20 + * - Default: \c c++17 + * - \c --builtin-move-forward={true|false} (\c -builtin-move-forward)\n + * Provide builtin definitions of \c std::move and \c std::forward, + * when C++11 or later language dialect is selected. + * - Default: \c true + * - \c --builtin-initializer-list={true|false} + * (\c -builtin-initializer-list)\n + * Provide builtin definitions of \c std::initializer_list class and + * member functions when C++11 or later language dialect is selected. + * - Default: \c true + * - Misc. + * - \c --disable-warnings (\c -w)\n + * Inhibit all warning messages. + * - \c --restrict (\c -restrict)\n + * Programmer assertion that all kernel pointer parameters are restrict + * pointers. + * - \c --device-as-default-execution-space + * (\c -default-device)\n + * Treat entities with no execution space annotation as \c __device__ + * entities. + * - \c --device-int128 (\c -device-int128)\n + * Allow the \c __int128 type in device code. Also causes the macro \c __CUDACC_RTC_INT128__ + * to be defined. + * - \c --optimization-info=\ (\c -opt-info)\n + * Provide optimization reports for the specified kind of optimization. + * The following kind tags are supported: + * - \c inline : emit a remark when a function is inlined. + * - \c --version-ident={true|false} (\c -dQ)\n + * Embed used compiler's version info into generated PTX/CUBIN + * - Default: \c false + * - \c --display-error-number (\c -err-no)\n + * Display diagnostic number for warning messages. (Default) + * - \c --no-display-error-number (\c -no-err-no)\n + * Disables the display of a diagnostic number for warning messages. + * - \c --diag-error=,... (\c -diag-error)\n + * Emit error for specified diagnostic message number(s). Message numbers can be separated by comma. + * - \c --diag-suppress=,... (\c -diag-suppress)\n + * Suppress specified diagnostic message number(s). Message numbers can be separated by comma. + * - \c --diag-warn=,... (\c -diag-warn)\n + * Emit warning for specified diagnostic message number(s). Message numbers can be separated by comma. + * - \c --brief-diagnostics={true|false} (\c -brief-diag)\n + * This option disables or enables showing source line and column info + * in a diagnostic. + * The --brief-diagnostics=true will not show the source line and column info. + * - Default: \c false + * - \c --time= (\c -time)\n + * Generate a comma separated value table with the time taken by each compilation + * phase, and append it at the end of the file given as the option argument. + * If the file does not exist, the column headings are generated in the first row + * of the table. If the file name is '-', the timing data is written to the compilation log. + * + */ + + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + + +/* The utility function 'nvrtcGetTypeName' is not available by default. Define + the macro 'NVRTC_GET_TYPE_NAME' to a non-zero value to make it available. +*/ + +#if NVRTC_GET_TYPE_NAME || __DOXYGEN_ONLY__ + +#if NVRTC_USE_CXXABI || __clang__ || __GNUC__ || __DOXYGEN_ONLY__ +#include +#include + +#elif defined(_WIN32) +#include +#include +#endif /* NVRTC_USE_CXXABI || __clang__ || __GNUC__ */ + + +#include +#include + +template struct __nvrtcGetTypeName_helper_t { }; + +/*************************************************************************//** + * + * \defgroup hosthelper Host Helper + * + * NVRTC defines the following functions for easier interaction with host code. + * + ****************************************************************************/ + +/** + * \ingroup hosthelper + * \brief nvrtcGetTypeName stores the source level name of a type in the given + * std::string location. + * + * This function is only provided when the macro NVRTC_GET_TYPE_NAME is + * defined with a non-zero value. It uses abi::__cxa_demangle or UnDecorateSymbolName + * function calls to extract the type name, when using gcc/clang or cl.exe compilers, + * respectively. If the name extraction fails, it will return NVRTC_INTERNAL_ERROR, + * otherwise *result is initialized with the extracted name. + * + * Windows-specific notes: + * - nvrtcGetTypeName() is not multi-thread safe because it calls UnDecorateSymbolName(), + * which is not multi-thread safe. + * - The returned string may contain Microsoft-specific keywords such as __ptr64 and __cdecl. + * + * \param [in] tinfo: reference to object of type std::type_info for a given type. + * \param [in] result: pointer to std::string in which to store the type name. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INTERNAL_ERROR \endlink + * + */ +inline nvrtcResult nvrtcGetTypeName(const std::type_info &tinfo, std::string *result) +{ +#if USE_CXXABI || __clang__ || __GNUC__ + const char *name = tinfo.name(); + int status; + char *undecorated_name = abi::__cxa_demangle(name, 0, 0, &status); + if (status == 0) { + *result = undecorated_name; + free(undecorated_name); + return NVRTC_SUCCESS; + } +#elif defined(_WIN32) + const char *name = tinfo.raw_name(); + if (!name || *name != '.') { + return NVRTC_ERROR_INTERNAL_ERROR; + } + char undecorated_name[4096]; + //name+1 skips over the '.' prefix + if(UnDecorateSymbolName(name+1, undecorated_name, + sizeof(undecorated_name) / sizeof(*undecorated_name), + //note: doesn't seem to work correctly without UNDNAME_NO_ARGUMENTS. + UNDNAME_NO_ARGUMENTS | UNDNAME_NAME_ONLY ) ) { + *result = undecorated_name; + return NVRTC_SUCCESS; + } +#endif /* USE_CXXABI || __clang__ || __GNUC__ */ + + return NVRTC_ERROR_INTERNAL_ERROR; +} + +/** + * \ingroup hosthelper + * \brief nvrtcGetTypeName stores the source level name of the template type argument + * T in the given std::string location. + * + * This function is only provided when the macro NVRTC_GET_TYPE_NAME is + * defined with a non-zero value. It uses abi::__cxa_demangle or UnDecorateSymbolName + * function calls to extract the type name, when using gcc/clang or cl.exe compilers, + * respectively. If the name extraction fails, it will return NVRTC_INTERNAL_ERROR, + * otherwise *result is initialized with the extracted name. + * + * Windows-specific notes: + * - nvrtcGetTypeName() is not multi-thread safe because it calls UnDecorateSymbolName(), + * which is not multi-thread safe. + * - The returned string may contain Microsoft-specific keywords such as __ptr64 and __cdecl. + * + * \param [in] result: pointer to std::string in which to store the type name. + * \return + * - \link #nvrtcResult NVRTC_SUCCESS \endlink + * - \link #nvrtcResult NVRTC_ERROR_INTERNAL_ERROR \endlink + * + */ + +template +nvrtcResult nvrtcGetTypeName(std::string *result) +{ + nvrtcResult res = nvrtcGetTypeName(typeid(__nvrtcGetTypeName_helper_t), + result); + if (res != NVRTC_SUCCESS) + return res; + + std::string repr = *result; + std::size_t idx = repr.find("__nvrtcGetTypeName_helper_t"); + idx = (idx != std::string::npos) ? repr.find("<", idx) : idx; + std::size_t last_idx = repr.find_last_of('>'); + if (idx == std::string::npos || last_idx == std::string::npos) { + return NVRTC_ERROR_INTERNAL_ERROR; + } + ++idx; + *result = repr.substr(idx, last_idx - idx); + return NVRTC_SUCCESS; +} + +#endif /* NVRTC_GET_TYPE_NAME */ + +#endif /* __NVRTC_H__ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..00aad00e61aad6b228cf7bf6bae4c1599a916611 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/cuda_nvrtc/lib/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/curand/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..fc70f4807eb43c48919df6edb03f8afff6b64b48 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_globals.h b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_globals.h new file mode 100644 index 0000000000000000000000000000000000000000..278d12b69727c4016fdb2452b8ee567f5c969fa0 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_globals.h @@ -0,0 +1,93 @@ + /* Copyright 2010-2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * The source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * The Licensed Deliverables contained herein are PROPRIETARY and + * CONFIDENTIAL to NVIDIA and are being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. THEY ARE + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ +#ifndef CURAND_GLOBALS_H +#define CURAND_GLOBALS_H + +#define MAX_XOR_N (5) +#define SKIPAHEAD_BLOCKSIZE (4) +#define SKIPAHEAD_MASK ((1< +#endif // __CUDACC_RTC__ + +#include "curand_mrg32k3a.h" +#include "curand_mtgp32_kernel.h" +#include "curand_philox4x32_x.h" + +/** + * \brief Return a log-normally distributed float from an XORWOW generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the XORWOW generator in \p state, + * increment position of generator by one. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, transforms them to log-normal distribution, + * then returns them one at a time. + * See ::curand_log_normal2() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float curand_log_normal(curandStateXORWOW_t *state, float mean, float stddev) +{ + if(state->boxmuller_flag != EXTRA_FLAG_LOG_NORMAL) { + unsigned int x, y; + x = curand(state); + y = curand(state); + float2 v = _curand_box_muller(x, y); + state->boxmuller_extra = expf(mean + (stddev * v.y)); + state->boxmuller_flag = EXTRA_FLAG_LOG_NORMAL; + return expf(mean + (stddev * v.x)); + } + state->boxmuller_flag = 0; + return state->boxmuller_extra; +} + +/** + * \brief Return a log-normally distributed float from an Philox4_32_10 generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Philox4_32_10 generator in \p state, + * increment position of generator by one. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, transforms them to log-normal distribution, + * then returns them one at a time. + * See ::curand_log_normal2() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ + +QUALIFIERS float curand_log_normal(curandStatePhilox4_32_10_t *state, float mean, float stddev) +{ + if(state->boxmuller_flag != EXTRA_FLAG_LOG_NORMAL) { + unsigned int x, y; + x = curand(state); + y = curand(state); + float2 v = _curand_box_muller(x, y); + state->boxmuller_extra = expf(mean + (stddev * v.y)); + state->boxmuller_flag = EXTRA_FLAG_LOG_NORMAL; + return expf(mean + (stddev * v.x)); + } + state->boxmuller_flag = 0; + return state->boxmuller_extra; +} + +/** + * \brief Return two normally distributed floats from an XORWOW generator. + * + * Return two log-normally distributed floats derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the XORWOW generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then transforms them to log-normal. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float2 where each element is from a + * distribution with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float2 curand_log_normal2(curandStateXORWOW_t *state, float mean, float stddev) +{ + float2 v = curand_box_muller(state); + v.x = expf(mean + (stddev * v.x)); + v.y = expf(mean + (stddev * v.y)); + return v; +} + +/** + * \brief Return two normally distributed floats from an Philox4_32_10 generator. + * + * Return two log-normally distributed floats derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Philox4_32_10 generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then transforms them to log-normal. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float2 where each element is from a + * distribution with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float2 curand_log_normal2(curandStatePhilox4_32_10_t *state, float mean, float stddev) +{ + float2 v = curand_box_muller(state); + v.x = expf(mean + (stddev * v.x)); + v.y = expf(mean + (stddev * v.y)); + return v; +} +/** + * \brief Return four normally distributed floats from an Philox4_32_10 generator. + * + * Return four log-normally distributed floats derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Philox4_32_10 generator in \p state, + * increment position of generator by four. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then transforms them to log-normal. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float4 where each element is from a + * distribution with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float4 curand_log_normal4(curandStatePhilox4_32_10_t *state, float mean, float stddev) +{ + float4 v = curand_box_muller4(state); + v.x = expf(mean + (stddev * v.x)); + v.y = expf(mean + (stddev * v.y)); + v.z = expf(mean + (stddev * v.z)); + v.w = expf(mean + (stddev * v.w)); + return v; +} + +/** + * \brief Return a log-normally distributed float from an MRG32k3a generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the MRG32k3a generator in \p state, + * increment position of generator by one. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, transforms them to log-normal distribution, + * then returns them one at a time. + * See ::curand_log_normal2() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float curand_log_normal(curandStateMRG32k3a_t *state, float mean, float stddev) +{ + if(state->boxmuller_flag != EXTRA_FLAG_LOG_NORMAL) { + float2 v = curand_box_muller_mrg(state); + state->boxmuller_extra = expf(mean + (stddev * v.y)); + state->boxmuller_flag = EXTRA_FLAG_LOG_NORMAL; + return expf(mean + (stddev * v.x)); + } + state->boxmuller_flag = 0; + return state->boxmuller_extra; +} + +/** + * \brief Return two normally distributed floats from an MRG32k3a generator. + * + * Return two log-normally distributed floats derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the MRG32k3a generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then transforms them to log-normal. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float2 where each element is from a + * distribution with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float2 curand_log_normal2(curandStateMRG32k3a_t *state, float mean, float stddev) +{ + float2 v = curand_box_muller_mrg(state); + v.x = expf(mean + (stddev * v.x)); + v.y = expf(mean + (stddev * v.y)); + return v; +} + +/** + * \brief Return a log-normally distributed float from an MTGP32 generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the MTGP32 generator in \p state, + * increment position of generator. + * + * The implementation uses the inverse cumulative distribution function + * to generate a normally distributed result, then transforms the result + * to log-normal. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float curand_log_normal(curandStateMtgp32_t *state, float mean, float stddev) +{ + return expf(mean + (stddev * _curand_normal_icdf(curand(state)))); +} + +/** + * \brief Return a log-normally distributed float from a Sobol32 generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate a normally distributed result, then transforms the result + * to log-normal. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float curand_log_normal(curandStateSobol32_t *state, float mean, float stddev) +{ + return expf(mean + (stddev * _curand_normal_icdf(curand(state)))); +} +/** + * \brief Return a log-normally distributed float from a scrambled Sobol32 generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the scrambled Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate a normally distributed result, then transforms the result + * to log-normal. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float curand_log_normal(curandStateScrambledSobol32_t *state, float mean, float stddev) +{ + return expf(mean + (stddev * _curand_normal_icdf(curand(state)))); +} + +/** + * \brief Return a log-normally distributed float from a Sobol64 generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results, then converts to log-normal + * distribution. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float curand_log_normal(curandStateSobol64_t *state, float mean, float stddev) +{ + return expf(mean + (stddev * _curand_normal_icdf(curand(state)))); +} + +/** + * \brief Return a log-normally distributed float from a scrambled Sobol64 generator. + * + * Return a single log-normally distributed float derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the scrambled Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results, then converts to log-normal + * distribution. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed float with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS float curand_log_normal(curandStateScrambledSobol64_t *state, float mean, float stddev) +{ + return expf(mean + (stddev * _curand_normal_icdf(curand(state)))); +} + +/** + * \brief Return a log-normally distributed double from an XORWOW generator. + * + * Return a single normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the XORWOW generator in \p state, + * increment position of generator. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, transforms them to log-normal distribution, + * then returns them one at a time. + * See ::curand_log_normal2_double() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ + +QUALIFIERS double curand_log_normal_double(curandStateXORWOW_t *state, double mean, double stddev) +{ + if(state->boxmuller_flag_double != EXTRA_FLAG_LOG_NORMAL) { + unsigned int x0, x1, y0, y1; + x0 = curand(state); + x1 = curand(state); + y0 = curand(state); + y1 = curand(state); + double2 v = _curand_box_muller_double(x0, x1, y0, y1); + state->boxmuller_extra_double = exp(mean + (stddev * v.y)); + state->boxmuller_flag_double = EXTRA_FLAG_LOG_NORMAL; + return exp(mean + (stddev * v.x)); + } + state->boxmuller_flag_double = 0; + return state->boxmuller_extra_double; +} + +/** + * \brief Return a log-normally distributed double from an Philox4_32_10 generator. + * + * Return a single normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Philox4_32_10 generator in \p state, + * increment position of generator. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, transforms them to log-normal distribution, + * then returns them one at a time. + * See ::curand_log_normal2_double() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ + +QUALIFIERS double curand_log_normal_double(curandStatePhilox4_32_10_t *state, double mean, double stddev) +{ + if(state->boxmuller_flag_double != EXTRA_FLAG_LOG_NORMAL) { + uint4 _x; + _x = curand4(state); + double2 v = _curand_box_muller_double(_x.x, _x.y, _x.z, _x.w); + state->boxmuller_extra_double = exp(mean + (stddev * v.y)); + state->boxmuller_flag_double = EXTRA_FLAG_LOG_NORMAL; + return exp(mean + (stddev * v.x)); + } + state->boxmuller_flag_double = 0; + return state->boxmuller_extra_double; +} + + +/** + * \brief Return two log-normally distributed doubles from an XORWOW generator. + * + * Return two log-normally distributed doubles derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the XORWOW generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, and transforms them to log-normal distribution,. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double2 where each element is from a + * distribution with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double2 curand_log_normal2_double(curandStateXORWOW_t *state, double mean, double stddev) +{ + double2 v = curand_box_muller_double(state); + v.x = exp(mean + (stddev * v.x)); + v.y = exp(mean + (stddev * v.y)); + return v; +} + +/** + * \brief Return two log-normally distributed doubles from an Philox4_32_10 generator. + * + * Return two log-normally distributed doubles derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Philox4_32_10 generator in \p state, + * increment position of generator by four. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, and transforms them to log-normal distribution,. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double4 where each element is from a + * distribution with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double2 curand_log_normal2_double(curandStatePhilox4_32_10_t *state, double mean, double stddev) +{ + double2 v = curand_box_muller2_double(state); + v.x = exp(mean + (stddev * v.x)); + v.y = exp(mean + (stddev * v.y)); + return v; +} +// nor part of API +QUALIFIERS double4 curand_log_normal4_double(curandStatePhilox4_32_10_t *state, double mean, double stddev) +{ + double4 v = curand_box_muller4_double(state); + v.x = exp(mean + (stddev * v.x)); + v.y = exp(mean + (stddev * v.y)); + v.z = exp(mean + (stddev * v.z)); + v.w = exp(mean + (stddev * v.w)); + return v; +} + +/** + * \brief Return a log-normally distributed double from an MRG32k3a generator. + * + * Return a single normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the MRG32k3a generator in \p state, + * increment position of generator. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, transforms them to log-normal distribution, + * then returns them one at a time. + * See ::curand_log_normal2_double() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double curand_log_normal_double(curandStateMRG32k3a_t *state, double mean, double stddev) +{ + if(state->boxmuller_flag_double != EXTRA_FLAG_LOG_NORMAL) { + double2 v = curand_box_muller_mrg_double(state); + state->boxmuller_extra_double = exp(mean + (stddev * v.y)); + state->boxmuller_flag_double = EXTRA_FLAG_LOG_NORMAL; + return exp(mean + (stddev * v.x)); + } + state->boxmuller_flag_double = 0; + return state->boxmuller_extra_double; +} + +/** + * \brief Return two log-normally distributed doubles from an MRG32k3a generator. + * + * Return two log-normally distributed doubles derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the MRG32k3a generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, and transforms them to log-normal distribution,. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double2 where each element is from a + * distribution with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double2 curand_log_normal2_double(curandStateMRG32k3a_t *state, double mean, double stddev) +{ + double2 v = curand_box_muller_mrg_double(state); + v.x = exp(mean + (stddev * v.x)); + v.y = exp(mean + (stddev * v.y)); + return v; +} + +/** + * \brief Return a log-normally distributed double from an MTGP32 generator. + * + * Return a single log-normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the MTGP32 generator in \p state, + * increment position of generator. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results, and transforms them into + * log-normal distribution. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double curand_log_normal_double(curandStateMtgp32_t *state, double mean, double stddev) +{ + return exp(mean + (stddev * _curand_normal_icdf_double(curand(state)))); +} + +/** + * \brief Return a log-normally distributed double from a Sobol32 generator. + * + * Return a single log-normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results, and transforms them into + * log-normal distribution. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double curand_log_normal_double(curandStateSobol32_t *state, double mean, double stddev) +{ + return exp(mean + (stddev * _curand_normal_icdf_double(curand(state)))); +} + +/** + * \brief Return a log-normally distributed double from a scrambled Sobol32 generator. + * + * Return a single log-normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the scrambled Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results, and transforms them into + * log-normal distribution. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double curand_log_normal_double(curandStateScrambledSobol32_t *state, double mean, double stddev) +{ + return exp(mean + (stddev * _curand_normal_icdf_double(curand(state)))); +} + +/** + * \brief Return a log-normally distributed double from a Sobol64 generator. + * + * Return a single normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double curand_log_normal_double(curandStateSobol64_t *state, double mean, double stddev) +{ + return exp(mean + (stddev * _curand_normal_icdf_double(curand(state)))); +} + +/** + * \brief Return a log-normally distributed double from a scrambled Sobol64 generator. + * + * Return a single normally distributed double derived from a normal + * distribution with mean \p mean and standard deviation \p stddev + * from the scrambled Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * \param mean - Mean of the related normal distribution + * \param stddev - Standard deviation of the related normal distribution + * + * \return Log-normally distributed double with mean \p mean and standard deviation \p stddev + */ +QUALIFIERS double curand_log_normal_double(curandStateScrambledSobol64_t *state, double mean, double stddev) +{ + return exp(mean + (stddev * _curand_normal_icdf_double(curand(state)))); +} + +#endif // !defined(CURAND_LOGNORMAL_H_) diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_mtgp32_host.h b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_mtgp32_host.h new file mode 100644 index 0000000000000000000000000000000000000000..7b9a2d31b314194e6999aeb7046db67b6c9e19ac --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_mtgp32_host.h @@ -0,0 +1,516 @@ +/* + * Copyright 2010-2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +/* + * curand_mtgp32_host.h + * + * + * MTGP32-11213 + * + * Mersenne Twister RNG for the GPU + * + * The period of generated integers is 211213-1. + * + * This code generates 32-bit unsigned integers, and + * single precision floating point numbers uniformly distributed + * in the range [1, 2). (float r; 1.0 <= r < 2.0) + */ + +/* + * Copyright (c) 2009, 2010 Mutsuo Saito, Makoto Matsumoto and Hiroshima + * University. All rights reserved. + * Copyright (c) 2011 Mutsuo Saito, Makoto Matsumoto, Hiroshima + * University and University of Tokyo. All rights reserved. + * + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are + * met: + * + * * Redistributions of source code must retain the above copyright + * notice, this list of conditions and the following disclaimer. + * * Redistributions in binary form must reproduce the above + * copyright notice, this list of conditions and the following + * disclaimer in the documentation and/or other materials provided + * with the distribution. + * * Neither the name of the Hiroshima University nor the names of + * its contributors may be used to endorse or promote products + * derived from this software without specific prior written + * permission. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + */ +#if !defined CURAND_MTGP32_HOST_H +#define CURAND_MTGP32_HOST_H + +#if !defined(QUALIFIERS) +#define QUALIFIERS static inline __device__ +#endif + +#include +#include +#include +#include +#include "curand.h" +#include "curand_mtgp32.h" +#include "curand_mtgp32dc_p_11213.h" + + +/** + * \addtogroup DEVICE Device API + * + * @{ + */ + +static const unsigned int non_zero = 0x4d544750; + +/* + * This function represents a function used in the initialization + * by mtgp32_init_by_array() and mtgp32_init_by_str(). + * @param[in] x 32-bit integer + * @return 32-bit integer + */ +static __forceinline__ unsigned int ini_func1(unsigned int x) { + return (x ^ (x >> 27)) * (1664525); +} + +/* + * This function represents a function used in the initialization + * by mtgp32_init_by_array() and mtgp32_init_by_str(). + * @param[in] x 32-bit integer + * @return 32-bit integer + */ +static __forceinline__ unsigned int ini_func2(unsigned int x) { + return (x ^ (x >> 27)) * (1566083941); +} + +/* + * This function initializes the internal state array with a 32-bit + * integer seed. The allocated memory should be freed by calling + * mtgp32_free(). \b para should be one of the elements in the + * parameter table (mtgp32-param-ref.c). + * + * This function is call by cuda program, because cuda program uses + * another structure and another allocation method. + * + * @param[out] array MTGP internal status vector. + * @param[in] para parameter structure + * @param[in] seed a 32-bit integer used as the seed. + */ +static __forceinline__ __host__ +void mtgp32_init_state(unsigned int state[], + const mtgp32_params_fast_t *para, unsigned int seed) { + int i; + int size = para->mexp / 32 + 1; + unsigned int hidden_seed; + unsigned int tmp; + hidden_seed = para->tbl[4] ^ (para->tbl[8] << 16); + tmp = hidden_seed; + tmp += tmp >> 16; + tmp += tmp >> 8; + memset(state, tmp & 0xff, sizeof(unsigned int) * size); + state[0] = seed; + state[1] = hidden_seed; + for (i = 1; i < size; i++) { + state[i] ^= (1812433253) * (state[i - 1] ^ (state[i - 1] >> 30)) + i; + } +} + +/* + * This function initializes the internal state array + * with a 32-bit integer array. \b para should be one of the elements in + * the parameter table (mtgp32-param-ref.c). + * + * @param[out] mtgp32 MTGP structure. + * @param[in] para parameter structure + * @param[in] array a 32-bit integer array used as a seed. + * @param[in] length length of the array. + * @return CURAND_STATUS_SUCCESS + */ +static __forceinline__ __host__ +int mtgp32_init_by_array(unsigned int state[], + const mtgp32_params_fast_t *para, + unsigned int *array, int length) { + int i, j, count; + unsigned int r; + int lag; + int mid; + int size = para->mexp / 32 + 1; + unsigned int hidden_seed; + unsigned int tmp; + + if (size >= 623) { + lag = 11; + } else if (size >= 68) { + lag = 7; + } else if (size >= 39) { + lag = 5; + } else { + lag = 3; + } + mid = (size - lag) / 2; + + hidden_seed = para->tbl[4] ^ (para->tbl[8] << 16); + tmp = hidden_seed; + tmp += tmp >> 16; + tmp += tmp >> 8; + memset(state, tmp & 0xff, sizeof(unsigned int) * size); + state[0] = hidden_seed; + + if (length + 1 > size) { + count = length + 1; + } else { + count = size; + } + r = ini_func1(state[0] ^ state[mid] ^ state[size - 1]); + state[mid] += r; + r += length; + state[(mid + lag) % size] += r; + state[0] = r; + i = 1; + count--; + for (i = 1, j = 0; (j < count) && (j < length); j++) { + r = ini_func1(state[i] ^ state[(i + mid) % size] + ^ state[(i + size - 1) % size]); + state[(i + mid) % size] += r; + r += array[j] + i; + state[(i + mid + lag) % size] += r; + state[i] = r; + i = (i + 1) % size; + } + for (; j < count; j++) { + r = ini_func1(state[i] ^ state[(i + mid) % size] + ^ state[(i + size - 1) % size]); + state[(i + mid) % size] += r; + r += i; + state[(i + mid + lag) % size] += r; + state[i] = r; + i = (i + 1) % size; + } + for (j = 0; j < size; j++) { + r = ini_func2(state[i] + state[(i + mid) % size] + + state[(i + size - 1) % size]); + state[(i + mid) % size] ^= r; + r -= i; + state[(i + mid + lag) % size] ^= r; + state[i] = r; + i = (i + 1) % size; + } + if (state[size - 1] == 0) { + state[size - 1] = non_zero; + } + return 0; +} + +/* + * This function initializes the internal state array + * with a character array. \b para should be one of the elements in + * the parameter table (mtgp32-param-ref.c). + * This is the same algorithm with mtgp32_init_by_array(), but hope to + * be more useful. + * + * @param[out] mtgp32 MTGP structure. + * @param[in] para parameter structure + * @param[in] array a character array used as a seed. (terminated by zero.) + * @return memory allocation result. if 0 then O.K. + */ +static __forceinline__ __host__ +int mtgp32_init_by_str(unsigned int state[], + const mtgp32_params_fast_t *para, unsigned char *array) { + int i, j, count; + unsigned int r; + int lag; + int mid; + int size = para->mexp / 32 + 1; + int length = (unsigned int)strlen((char *)array); + unsigned int hidden_seed; + unsigned int tmp; + + if (size >= 623) { + lag = 11; + } else if (size >= 68) { + lag = 7; + } else if (size >= 39) { + lag = 5; + } else { + lag = 3; + } + mid = (size - lag) / 2; + + hidden_seed = para->tbl[4] ^ (para->tbl[8] << 16); + tmp = hidden_seed; + tmp += tmp >> 16; + tmp += tmp >> 8; + memset(state, tmp & 0xff, sizeof(unsigned int) * size); + state[0] = hidden_seed; + + if (length + 1 > size) { + count = length + 1; + } else { + count = size; + } + r = ini_func1(state[0] ^ state[mid] ^ state[size - 1]); + state[mid] += r; + r += length; + state[(mid + lag) % size] += r; + state[0] = r; + i = 1; + count--; + for (i = 1, j = 0; (j < count) && (j < length); j++) { + r = ini_func1(state[i] ^ state[(i + mid) % size] + ^ state[(i + size - 1) % size]); + state[(i + mid) % size] += r; + r += array[j] + i; + state[(i + mid + lag) % size] += r; + state[i] = r; + i = (i + 1) % size; + } + for (; j < count; j++) { + r = ini_func1(state[i] ^ state[(i + mid) % size] + ^ state[(i + size - 1) % size]); + state[(i + mid) % size] += r; + r += i; + state[(i + mid + lag) % size] += r; + state[i] = r; + i = (i + 1) % size; + } + for (j = 0; j < size; j++) { + r = ini_func2(state[i] + state[(i + mid) % size] + + state[(i + size - 1) % size]); + state[(i + mid) % size] ^= r; + r -= i; + state[(i + mid + lag) % size] ^= r; + state[i] = r; + i = (i + 1) % size; + } + if (state[size - 1] == 0) { + state[size - 1] = non_zero; + } + return 0; +} + +template +static __forceinline__ __host__ +curandStatus_t curandMakeMTGP32ConstantsImpl(const mtgp32_params_fast_t params[], ParamsType * p, const int block_num) +{ + const int size1 = sizeof(unsigned int) * block_num; + const int size2 = sizeof(unsigned int) * block_num * TBL_SIZE; + unsigned int *h_pos_tbl; + unsigned int *h_sh1_tbl; + unsigned int *h_sh2_tbl; + unsigned int *h_param_tbl; + unsigned int *h_temper_tbl; + unsigned int *h_single_temper_tbl; + unsigned int *h_mask; + curandStatus_t status = CURAND_STATUS_SUCCESS; + + h_pos_tbl = (unsigned int *)malloc(size1); + h_sh1_tbl = (unsigned int *)malloc(size1); + h_sh2_tbl = (unsigned int *)malloc(size1); + h_param_tbl = (unsigned int *)malloc(size2); + h_temper_tbl = (unsigned int *)malloc(size2); + h_single_temper_tbl = (unsigned int *)malloc(size2); + h_mask = (unsigned int *)malloc(sizeof(unsigned int)); + if (h_pos_tbl == NULL + || h_sh1_tbl == NULL + || h_sh2_tbl == NULL + || h_param_tbl == NULL + || h_temper_tbl == NULL + || h_single_temper_tbl == NULL + || h_mask == NULL) { + if (h_pos_tbl != NULL) free(h_pos_tbl); + if (h_sh1_tbl != NULL) free(h_sh1_tbl); + if (h_sh2_tbl != NULL) free(h_sh2_tbl); + if (h_param_tbl != NULL) free(h_param_tbl); + if (h_temper_tbl != NULL) free(h_temper_tbl); + if (h_single_temper_tbl != NULL) free(h_single_temper_tbl); + if (h_mask != NULL) free(h_mask); + status = CURAND_STATUS_ALLOCATION_FAILED; + } else { + + h_mask[0] = params[0].mask; + for (int i = 0; i < block_num; i++) { + h_pos_tbl[i] = params[i].pos; + h_sh1_tbl[i] = params[i].sh1; + h_sh2_tbl[i] = params[i].sh2; + for (int j = 0; j < TBL_SIZE; j++) { + h_param_tbl[i * TBL_SIZE + j] = params[i].tbl[j]; + h_temper_tbl[i * TBL_SIZE + j] = params[i].tmp_tbl[j]; + h_single_temper_tbl[i * TBL_SIZE + j] = params[i].flt_tmp_tbl[j]; + } + } + if (cudaMemcpy( p->pos_tbl, + h_pos_tbl, size1, cudaMemcpyHostToDevice) != cudaSuccess) + { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } else + if (cudaMemcpy( p->sh1_tbl, + h_sh1_tbl, size1, cudaMemcpyHostToDevice) != cudaSuccess) + { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } else + if (cudaMemcpy( p->sh2_tbl, + h_sh2_tbl, size1, cudaMemcpyHostToDevice) != cudaSuccess) + { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } else + if (cudaMemcpy( p->param_tbl, + h_param_tbl, size2, cudaMemcpyHostToDevice) != cudaSuccess) + { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } else + if (cudaMemcpy( p->temper_tbl, + h_temper_tbl, size2, cudaMemcpyHostToDevice) != cudaSuccess) + { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } else + if (cudaMemcpy( p->single_temper_tbl, + h_single_temper_tbl, size2, cudaMemcpyHostToDevice) != cudaSuccess) + { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } else + if (cudaMemcpy( p->mask, + h_mask, sizeof(unsigned int), cudaMemcpyHostToDevice) != cudaSuccess) + { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } + } + if (h_pos_tbl != NULL) free(h_pos_tbl); + if (h_sh1_tbl != NULL) free(h_sh1_tbl); + if (h_sh2_tbl != NULL) free(h_sh2_tbl); + if (h_param_tbl != NULL) free(h_param_tbl); + if (h_temper_tbl != NULL) free(h_temper_tbl); + if (h_single_temper_tbl != NULL)free(h_single_temper_tbl); + if (h_mask != NULL) free(h_mask); + return status; +} + +/** + * \brief Set up constant parameters for the mtgp32 generator + * + * This host-side helper function re-organizes CURAND_NUM_MTGP32_PARAMS sets of + * generator parameters for use by kernel functions and copies the + * result to the specified location in device memory. + * + * \param params - Pointer to an array of type mtgp32_params_fast_t in host memory + * \param p - pointer to a structure of type mtgp32_kernel_params_t in device memory. + * + * \return + * - CURAND_STATUS_ALLOCATION_FAILED if host memory could not be allocated + * - CURAND_STATUS_INITIALIZATION_FAILED if the copy to device memory failed + * - CURAND_STATUS_SUCCESS otherwise + */ +static __forceinline__ __host__ +curandStatus_t curandMakeMTGP32Constants(const mtgp32_params_fast_t params[], mtgp32_kernel_params_t * p) +{ + return curandMakeMTGP32ConstantsImpl(params, p, CURAND_NUM_MTGP32_PARAMS); +} + +/** + * \brief Set up initial states for the mtgp32 generator + * + * This host-side helper function initializes a number of states (one parameter set per state) for + * an mtgp32 generator. To accomplish this it allocates a state array in host memory, + * initializes that array, and copies the result to device memory. + * + * \param s - pointer to an array of states in device memory + * \param params - Pointer to an array of type mtgp32_params_fast_t in host memory + * \param k - pointer to a structure of type mtgp32_kernel_params_t in device memory + * \param n - number of parameter sets/states to initialize + * \param seed - seed value + * + * \return + * - CURAND_STATUS_ALLOCATION_FAILED if host memory state could not be allocated + * - CURAND_STATUS_INITIALIZATION_FAILED if the copy to device memory failed + * - CURAND_STATUS_SUCCESS otherwise + */ +static __forceinline__ __host__ +curandStatus_t CURANDAPI curandMakeMTGP32KernelState(curandStateMtgp32_t *s, + mtgp32_params_fast_t params[], + mtgp32_kernel_params_t *k, + int n, + unsigned long long seed) +{ + int i; + curandStatus_t status = CURAND_STATUS_SUCCESS; + curandStateMtgp32_t *h_status =(curandStateMtgp32_t *) malloc(sizeof(curandStateMtgp32_t) * n); + if (h_status == NULL) { + status = CURAND_STATUS_ALLOCATION_FAILED; + } else { + seed = seed ^ (seed >> 32); + for (i = 0; i < n; i++) { + mtgp32_init_state(&(h_status[i].s[0]), ¶ms[i],(unsigned int)seed + i + 1); + h_status[i].offset = 0; + h_status[i].pIdx = i; + h_status[i].k = k; + } + if (cudaMemcpy(s, h_status, + sizeof(curandStateMtgp32_t) * n, + cudaMemcpyHostToDevice) != cudaSuccess) { + status = CURAND_STATUS_INITIALIZATION_FAILED; + } + } + free(h_status); + return status; +} + +/** @} */ + +#endif + + diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_mtgp32_kernel.h b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_mtgp32_kernel.h new file mode 100644 index 0000000000000000000000000000000000000000..087cdd0796d1e6d6731acd74a07718dfd1312275 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_mtgp32_kernel.h @@ -0,0 +1,386 @@ +/* + * Copyright 2010-2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +/* + * curand_mtgp32_kernel.h + * + * + * MTGP32-11213 + * + * Mersenne Twister RNG for the GPU + * + * The period of generated integers is 211213-1. + * + * This code generates 32-bit unsigned integers, and + * single precision floating point numbers uniformly distributed + * in the range [1, 2). (float r; 1.0 <= r < 2.0) + */ + +/* + * Copyright (c) 2009, 2010 Mutsuo Saito, Makoto Matsumoto and Hiroshima + * University. All rights reserved. + * Copyright (c) 2011 Mutsuo Saito, Makoto Matsumoto, Hiroshima + * University and University of Tokyo. All rights reserved. + * + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are + * met: + * + * * Redistributions of source code must retain the above copyright + * notice, this list of conditions and the following disclaimer. + * * Redistributions in binary form must reproduce the above + * copyright notice, this list of conditions and the following + * disclaimer in the documentation and/or other materials provided + * with the distribution. + * * Neither the name of the Hiroshima University nor the names of + * its contributors may be used to endorse or promote products + * derived from this software without specific prior written + * permission. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + */ +#if !defined CURAND_MTGP32_KERNEL_H +#define CURAND_MTGP32_KERNEL_H + +#if !defined(QUALIFIERS) +#define QUALIFIERS static __forceinline__ __device__ +#endif + +#ifndef __CUDACC_RTC__ +#include +#include +#include +#include +#endif // ifndef __CUDACC_RTC__ +#include +#include "curand.h" +#include "curand_mtgp32.h" + +/** + * \addtogroup DEVICE Device API + * + * @{ + */ + +#ifndef __CUDA_ARCH__ +// define blockDim and threadIdx for host compatibility call +extern const dim3 blockDim; +extern const uint3 threadIdx; +#endif + + +/* + * The function of the recursion formula calculation. + * + * @param[in] X1 the farthest part of state array. + * @param[in] X2 the second farthest part of state array. + * @param[in] Y a part of state array. + * @param[in] bid block id. + * @return output + */ +QUALIFIERS unsigned int para_rec(mtgp32_kernel_params_t * k,unsigned int X1, unsigned int X2, unsigned int Y, int bid) { + unsigned int X = (X1 & k->mask[0]) ^ X2; + unsigned int MAT; + + X ^= X << k->sh1_tbl[bid]; + Y = X ^ (Y >> k->sh2_tbl[bid]); + MAT = k->param_tbl[bid][Y & 0x0f]; + return Y ^ MAT; +} + +/* + * The tempering function. + * + * @param[in] V the output value should be tempered. + * @param[in] T the tempering helper value. + * @param[in] bid block id. + * @return the tempered value. + */ +QUALIFIERS unsigned int temper(mtgp32_kernel_params_t * k,unsigned int V, unsigned int T, int bid) { + unsigned int MAT; + + T ^= T >> 16; + T ^= T >> 8; + MAT = k->temper_tbl[bid][T & 0x0f]; + return V ^ MAT; +} + +/* + * The tempering and converting function. + * By using the preset table, converting to IEEE format + * and tempering are done simultaneously. + * + * @param[in] V the output value should be tempered. + * @param[in] T the tempering helper value. + * @param[in] bid block id. + * @return the tempered and converted value. + */ +QUALIFIERS unsigned int temper_single(mtgp32_kernel_params_t * k,unsigned int V, unsigned int T, int bid) { + unsigned int MAT; + unsigned int r; + + T ^= T >> 16; + T ^= T >> 8; + MAT = k->single_temper_tbl[bid][T & 0x0f]; + r = (V >> 9) ^ MAT; + return r; +} + +/** + * \brief Return 32-bits of pseudorandomness from a mtgp32 generator. + * + * Return 32-bits of pseudorandomness from the mtgp32 generator in \p state, + * increment position of generator by the number of threads in the block. + * Note the number of threads in the block can not exceed 256. + * + * \param state - Pointer to state to update + * + * \return 32-bits of pseudorandomness as an unsigned int, all bits valid to use. + */ +QUALIFIERS unsigned int curand(curandStateMtgp32_t *state) +{ + unsigned int t; + unsigned int d; + int pos = state->k->pos_tbl[state->pIdx]; + unsigned int r; + unsigned int o; + + d = blockDim.z * blockDim.y * blockDim.x; + //assert( d <= 256 ); + t = (blockDim.z * blockDim.y * threadIdx.z) + (blockDim.x * threadIdx.y) + threadIdx.x; + r = para_rec(state->k, state->s[(t + state->offset) & MTGP32_STATE_MASK], + state->s[(t + state->offset + 1) & MTGP32_STATE_MASK], + state->s[(t + state->offset + pos) & MTGP32_STATE_MASK], + state->pIdx); + + state->s[(t + state->offset + MTGPDC_N) & MTGP32_STATE_MASK] = r; + o = temper(state->k, r, + state->s[(t + state->offset + pos -1) & MTGP32_STATE_MASK], + state->pIdx); +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + if (t == 0) + { + state->offset = (state->offset + d) & MTGP32_STATE_MASK; + } +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + return o; + +} +/** + * \brief Return 32-bits of pseudorandomness from a specific position in a mtgp32 generator. + * + * Return 32-bits of pseudorandomness from position \p index of the mtgp32 generator in \p state, + * increment position of generator by \p n positions, which must be the total number of positions + * upddated in the state by the thread block, for this invocation. + * + * Note : + * Thread indices must range from 0...\ n - 1. + * The number of positions updated may not exceed 256. + * A thread block may update more than one state, but a given state may not be updated by more than one thread block. + * + * \param state - Pointer to state to update + * \param index - Index (0..255) of the position within the state to draw from and update + * \param n - The total number of postions in this state that are being updated by this invocation + * + * \return 32-bits of pseudorandomness as an unsigned int, all bits valid to use. + */ +QUALIFIERS unsigned int curand_mtgp32_specific(curandStateMtgp32_t *state, unsigned char index, unsigned char n) +{ + unsigned int t; + int pos = state->k->pos_tbl[state->pIdx]; + unsigned int r; + unsigned int o; + + t = index; + r = para_rec(state->k, state->s[(t + state->offset) & MTGP32_STATE_MASK], + state->s[(t + state->offset + 1) & MTGP32_STATE_MASK], + state->s[(t + state->offset + pos) & MTGP32_STATE_MASK], + state->pIdx); + + state->s[(t + state->offset + MTGPDC_N) & MTGP32_STATE_MASK] = r; + o = temper(state->k, r, + state->s[(t + state->offset + pos -1) & MTGP32_STATE_MASK], + state->pIdx); +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + if (index == 0) + { + state->offset = (state->offset + n) & MTGP32_STATE_MASK; + } +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + return o; +} +/** + * \brief Return a uniformly distributed float from a mtgp32 generator. + * + * Return a uniformly distributed float between \p 0.0f and \p 1.0f + * from the mtgp32 generator in \p state, increment position of generator. + * Output range excludes \p 0.0f but includes \p 1.0f. Denormalized floating + * point outputs are never returned. + * + * Note: This alternate derivation of a uniform float is provided for completeness + * with the original source + * + * \param state - Pointer to state to update + * + * \return uniformly distributed float between \p 0.0f and \p 1.0f + */ +QUALIFIERS float curand_mtgp32_single(curandStateMtgp32_t *state) +{ + unsigned int t; + unsigned int d; + int pos = state->k->pos_tbl[state->pIdx]; + unsigned int r; + unsigned int o_u; + float o_f; + + + t = blockDim.z * blockDim.y; + d = t * blockDim.x; + //assert( d <= 256 ); + t += threadIdx.x; + r = para_rec(state->k, state->s[(t + state->offset) & MTGP32_STATE_MASK], + state->s[(t + state->offset + 1) & MTGP32_STATE_MASK], + state->s[(t + state->offset + pos) & MTGP32_STATE_MASK], + state->pIdx); + + state->s[t] = r; + o_u = temper_single(state->k, r, + state->s[(t + state->offset + pos -1) & MTGP32_STATE_MASK], + state->pIdx); +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + if (threadIdx.x == 0) + { + state->offset = (state->offset + d) & MTGP32_STATE_MASK; + } +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + memcpy(&o_f, &o_u, sizeof(o_u)); + return o_f; +} + +/** + * \brief Return a uniformly distributed float from a specific position in a mtgp32 generator. + * + * Return a uniformly distributed float between \p 0.0f and \p 1.0f + * from position \p index of the mtgp32 generator in \p state, and + * increment position of generator by \p n positions, which must be the total number of positions + * upddated in the state by the thread block, for this invocation. + * Output range excludes \p 0.0f but includes \p 1.0f. Denormalized floating + * point outputs are never returned. + * + * Note 1: + * Thread indices must range from 0...\p n - 1. + * The number of positions updated may not exceed 256. + * A thread block may update more than one state, but a given state may not be updated by more than one thread block. + * + * Note 2: This alternate derivation of a uniform float is provided for completeness + * with the original source + * + * \param state - Pointer to state to update + * \param index - Index (0..255) of the position within the state to draw from and update + * \param n - The total number of postions in this state that are being updated by this invocation + * + * \return uniformly distributed float between \p 0.0f and \p 1.0f + */ +QUALIFIERS float curand_mtgp32_single_specific(curandStateMtgp32_t *state, unsigned char index, unsigned char n) +{ + unsigned int t; + int pos = state->k->pos_tbl[state->pIdx]; + unsigned int r; + unsigned int o_u; + float o_f; + + t = index; + r = para_rec(state->k, state->s[(t + state->offset) & MTGP32_STATE_MASK], + state->s[(t + state->offset + 1) & MTGP32_STATE_MASK], + state->s[(t + state->offset + pos) & MTGP32_STATE_MASK], + state->pIdx); + + state->s[t] = r; + o_u = temper_single(state->k, r, + state->s[(t + state->offset + pos -1) & MTGP32_STATE_MASK], + state->pIdx); +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + if (threadIdx.x == 0) + { + state->offset = (state->offset + n) & MTGP32_STATE_MASK; + } +NV_IF_TARGET(NV_IS_DEVICE, + __syncthreads(); +) + memcpy(&o_f, &o_u, sizeof(o_u)); + return o_f; +} + +/** @} */ + +#endif diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_normal.h b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_normal.h new file mode 100644 index 0000000000000000000000000000000000000000..e3c91001032acf253959df8b8a5464d038ee252b --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_normal.h @@ -0,0 +1,840 @@ + + /* Copyright 2010-2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * The source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * The Licensed Deliverables contained herein are PROPRIETARY and + * CONFIDENTIAL to NVIDIA and are being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. THEY ARE + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + + +#if !defined(CURAND_NORMAL_H_) +#define CURAND_NORMAL_H_ + +/** + * \defgroup DEVICE Device API + * + * @{ + */ + +#ifndef __CUDACC_RTC__ +#include +#endif // __CUDACC_RTC__ +#include + +#include "curand_mrg32k3a.h" +#include "curand_mtgp32_kernel.h" +#include "curand_philox4x32_x.h" +#include "curand_normal_static.h" + +QUALIFIERS float2 _curand_box_muller(unsigned int x, unsigned int y) +{ + float2 result; + float u = x * CURAND_2POW32_INV + (CURAND_2POW32_INV/2); + float v = y * CURAND_2POW32_INV_2PI + (CURAND_2POW32_INV_2PI/2); + float s; +NV_IF_ELSE_TARGET(NV_IS_DEVICE, + s = sqrtf(-2.0f * logf(u)); + __sincosf(v, &result.x, &result.y); +, + s = sqrtf(-2.0f * logf(u)); + result.x = sinf(v); + result.y = cosf(v); +) + result.x *= s; + result.y *= s; + return result; +} + +QUALIFIERS float2 curand_box_muller_mrg(curandStateMRG32k3a_t * state) +{ + float x, y; + x = curand_uniform(state); + y = curand_uniform(state) * CURAND_2PI; + float2 result; + float s; +NV_IF_ELSE_TARGET(NV_IS_DEVICE, + s = sqrtf(-2.0f * logf(x)); + __sincosf(y, &result.x, &result.y); +, + s = sqrtf(-2.0f * logf(x)); + result.x = sinf(y); + result.y = cosf(y); +) + result.x *= s; + result.y *= s; + return result; +} + +QUALIFIERS double2 +_curand_box_muller_double(unsigned int x0, unsigned int x1, + unsigned int y0, unsigned int y1) +{ + double2 result; + unsigned long long zx = (unsigned long long)x0 ^ + ((unsigned long long)x1 << (53 - 32)); + double u = zx * CURAND_2POW53_INV_DOUBLE + (CURAND_2POW53_INV_DOUBLE/2.0); + unsigned long long zy = (unsigned long long)y0 ^ + ((unsigned long long)y1 << (53 - 32)); + double v = zy * (CURAND_2POW53_INV_DOUBLE*2.0) + CURAND_2POW53_INV_DOUBLE; + double s = sqrt(-2.0 * log(u)); + +NV_IF_ELSE_TARGET(NV_IS_DEVICE, + sincospi(v, &result.x, &result.y); +, + result.x = sin(v*CURAND_PI_DOUBLE); + result.y = cos(v*CURAND_PI_DOUBLE); +) + result.x *= s; + result.y *= s; + + return result; +} + +QUALIFIERS double2 +curand_box_muller_mrg_double(curandStateMRG32k3a_t * state) +{ + double x, y; + double2 result; + x = curand_uniform_double(state); + y = curand_uniform_double(state) * 2.0; + + double s = sqrt(-2.0 * log(x)); +NV_IF_ELSE_TARGET(NV_IS_DEVICE, + sincospi(y, &result.x, &result.y); +, + result.x = sin(y*CURAND_PI_DOUBLE); + result.y = cos(y*CURAND_PI_DOUBLE); +) + result.x *= s; + result.y *= s; + return result; +} + +template +QUALIFIERS float2 curand_box_muller(R *state) +{ + float2 result; + unsigned int x = curand(state); + unsigned int y = curand(state); + result = _curand_box_muller(x, y); + return result; +} + +template +QUALIFIERS float4 curand_box_muller4(R *state) +{ + float4 result; + float2 _result; + uint4 x = curand4(state); + //unsigned int y = curand(state); + _result = _curand_box_muller(x.x, x.y); + result.x = _result.x; + result.y = _result.y; + _result = _curand_box_muller(x.z, x.w); + result.z = _result.x; + result.w = _result.y; + return result; +} + +template +QUALIFIERS double2 curand_box_muller_double(R *state) +{ + double2 result; + unsigned int x0 = curand(state); + unsigned int x1 = curand(state); + unsigned int y0 = curand(state); + unsigned int y1 = curand(state); + result = _curand_box_muller_double(x0, x1, y0, y1); + return result; +} + +template +QUALIFIERS double2 curand_box_muller2_double(R *state) +{ + double2 result; + uint4 _x; + _x = curand4(state); + result = _curand_box_muller_double(_x.x, _x.y, _x.z, _x.w); + return result; +} + + +template +QUALIFIERS double4 curand_box_muller4_double(R *state) +{ + double4 result; + double2 _res1; + double2 _res2; + uint4 _x; + uint4 _y; + _x = curand4(state); + _y = curand4(state); + _res1 = _curand_box_muller_double(_x.x, _x.y, _x.z, _x.w); + _res2 = _curand_box_muller_double(_y.x, _y.y, _y.z, _y.w); + result.x = _res1.x; + result.y = _res1.y; + result.z = _res2.x; + result.w = _res2.y; + return result; +} + +//QUALIFIERS float _curand_normal_icdf(unsigned int x) +//{ +//#if __CUDA_ARCH__ > 0 || defined(HOST_HAVE_ERFCINVF) +// float s = CURAND_SQRT2; +// // Mirror to avoid loss of precision +// if(x > 0x80000000UL) { +// x = 0xffffffffUL - x; +// s = -s; +// } +// float p = x * CURAND_2POW32_INV + (CURAND_2POW32_INV/2.0f); +// // p is in (0, 0.5], 2p is in (0, 1] +// return s * erfcinvf(2.0f * p); +//#else +// x++; //suppress warnings +// return 0.0f; +//#endif +//} +// +//QUALIFIERS float _curand_normal_icdf(unsigned long long x) +//{ +//#if __CUDA_ARCH__ > 0 || defined(HOST_HAVE_ERFCINVF) +// unsigned int t = (unsigned int)(x >> 32); +// float s = CURAND_SQRT2; +// // Mirror to avoid loss of precision +// if(t > 0x80000000UL) { +// t = 0xffffffffUL - t; +// s = -s; +// } +// float p = t * CURAND_2POW32_INV + (CURAND_2POW32_INV/2.0f); +// // p is in (0, 0.5], 2p is in (0, 1] +// return s * erfcinvf(2.0f * p); +//#else +// x++; +// return 0.0f; +//#endif +//} +// +//QUALIFIERS double _curand_normal_icdf_double(unsigned int x) +//{ +//#if __CUDA_ARCH__ > 0 || defined(HOST_HAVE_ERFCINVF) +// double s = CURAND_SQRT2_DOUBLE; +// // Mirror to avoid loss of precision +// if(x > 0x80000000UL) { +// x = 0xffffffffUL - x; +// s = -s; +// } +// double p = x * CURAND_2POW32_INV_DOUBLE + (CURAND_2POW32_INV_DOUBLE/2.0); +// // p is in (0, 0.5], 2p is in (0, 1] +// return s * erfcinv(2.0 * p); +//#else +// x++; +// return 0.0; +//#endif +//} +// +//QUALIFIERS double _curand_normal_icdf_double(unsigned long long x) +//{ +//#if __CUDA_ARCH__ > 0 || defined(HOST_HAVE_ERFCINVF) +// double s = CURAND_SQRT2_DOUBLE; +// x >>= 11; +// // Mirror to avoid loss of precision +// if(x > 0x10000000000000UL) { +// x = 0x1fffffffffffffUL - x; +// s = -s; +// } +// double p = x * CURAND_2POW53_INV_DOUBLE + (CURAND_2POW53_INV_DOUBLE/2.0); +// // p is in (0, 0.5], 2p is in (0, 1] +// return s * erfcinv(2.0 * p); +//#else +// x++; +// return 0.0; +//#endif +//} +// + +/** + * \brief Return a normally distributed float from an XORWOW generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the XORWOW generator in \p state, + * increment position of generator by one. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then returns them one at a time. + * See ::curand_normal2() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float curand_normal(curandStateXORWOW_t *state) +{ + if(state->boxmuller_flag != EXTRA_FLAG_NORMAL) { + unsigned int x, y; + x = curand(state); + y = curand(state); + float2 v = _curand_box_muller(x, y); + state->boxmuller_extra = v.y; + state->boxmuller_flag = EXTRA_FLAG_NORMAL; + return v.x; + } + state->boxmuller_flag = 0; + return state->boxmuller_extra; +} + +/** + * \brief Return a normally distributed float from an Philox4_32_10 generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the Philox4_32_10 generator in \p state, + * increment position of generator by one. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then returns them one at a time. + * See ::curand_normal2() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ + +QUALIFIERS float curand_normal(curandStatePhilox4_32_10_t *state) +{ + if(state->boxmuller_flag != EXTRA_FLAG_NORMAL) { + unsigned int x, y; + x = curand(state); + y = curand(state); + float2 v = _curand_box_muller(x, y); + state->boxmuller_extra = v.y; + state->boxmuller_flag = EXTRA_FLAG_NORMAL; + return v.x; + } + state->boxmuller_flag = 0; + return state->boxmuller_extra; +} + + + +/** + * \brief Return a normally distributed float from an MRG32k3a generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the MRG32k3a generator in \p state, + * increment position of generator by one. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then returns them one at a time. + * See ::curand_normal2() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float curand_normal(curandStateMRG32k3a_t *state) +{ + if(state->boxmuller_flag != EXTRA_FLAG_NORMAL) { + float2 v = curand_box_muller_mrg(state); + state->boxmuller_extra = v.y; + state->boxmuller_flag = EXTRA_FLAG_NORMAL; + return v.x; + } + state->boxmuller_flag = 0; + return state->boxmuller_extra; +} + +/** + * \brief Return two normally distributed floats from an XORWOW generator. + * + * Return two normally distributed floats with mean \p 0.0f and + * standard deviation \p 1.0f from the XORWOW generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float2 where each element is from a + * distribution with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float2 curand_normal2(curandStateXORWOW_t *state) +{ + return curand_box_muller(state); +} +/** + * \brief Return two normally distributed floats from an Philox4_32_10 generator. + * + * Return two normally distributed floats with mean \p 0.0f and + * standard deviation \p 1.0f from the Philox4_32_10 generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float2 where each element is from a + * distribution with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float2 curand_normal2(curandStatePhilox4_32_10_t *state) +{ + return curand_box_muller(state); +} + +/** + * \brief Return four normally distributed floats from an Philox4_32_10 generator. + * + * Return four normally distributed floats with mean \p 0.0f and + * standard deviation \p 1.0f from the Philox4_32_10 generator in \p state, + * increment position of generator by four. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float2 where each element is from a + * distribution with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float4 curand_normal4(curandStatePhilox4_32_10_t *state) +{ + return curand_box_muller4(state); +} + + + +/** + * \brief Return two normally distributed floats from an MRG32k3a generator. + * + * Return two normally distributed floats with mean \p 0.0f and + * standard deviation \p 1.0f from the MRG32k3a generator in \p state, + * increment position of generator by two. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float2 where each element is from a + * distribution with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float2 curand_normal2(curandStateMRG32k3a_t *state) +{ + return curand_box_muller_mrg(state); +} + +/** + * \brief Return a normally distributed float from a MTGP32 generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the MTGP32 generator in \p state, + * increment position of generator. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float curand_normal(curandStateMtgp32_t *state) +{ + return _curand_normal_icdf(curand(state)); +} +/** + * \brief Return a normally distributed float from a Sobol32 generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float curand_normal(curandStateSobol32_t *state) +{ + return _curand_normal_icdf(curand(state)); +} + +/** + * \brief Return a normally distributed float from a scrambled Sobol32 generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the scrambled Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float curand_normal(curandStateScrambledSobol32_t *state) +{ + return _curand_normal_icdf(curand(state)); +} + +/** + * \brief Return a normally distributed float from a Sobol64 generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float curand_normal(curandStateSobol64_t *state) +{ + return _curand_normal_icdf(curand(state)); +} + +/** + * \brief Return a normally distributed float from a scrambled Sobol64 generator. + * + * Return a single normally distributed float with mean \p 0.0f and + * standard deviation \p 1.0f from the scrambled Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed float with mean \p 0.0f and standard deviation \p 1.0f + */ +QUALIFIERS float curand_normal(curandStateScrambledSobol64_t *state) +{ + return _curand_normal_icdf(curand(state)); +} + +/** + * \brief Return a normally distributed double from an XORWOW generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the XORWOW generator in \p state, + * increment position of generator. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then returns them one at a time. + * See ::curand_normal2_double() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double curand_normal_double(curandStateXORWOW_t *state) +{ + if(state->boxmuller_flag_double != EXTRA_FLAG_NORMAL) { + unsigned int x0, x1, y0, y1; + x0 = curand(state); + x1 = curand(state); + y0 = curand(state); + y1 = curand(state); + double2 v = _curand_box_muller_double(x0, x1, y0, y1); + state->boxmuller_extra_double = v.y; + state->boxmuller_flag_double = EXTRA_FLAG_NORMAL; + return v.x; + } + state->boxmuller_flag_double = 0; + return state->boxmuller_extra_double; +} + +/** + * \brief Return a normally distributed double from an Philox4_32_10 generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the Philox4_32_10 generator in \p state, + * increment position of generator. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then returns them one at a time. + * See ::curand_normal2_double() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ + +QUALIFIERS double curand_normal_double(curandStatePhilox4_32_10_t *state) +{ + if(state->boxmuller_flag_double != EXTRA_FLAG_NORMAL) { + uint4 _x; + _x = curand4(state); + double2 v = _curand_box_muller_double(_x.x, _x.y, _x.z, _x.w); + state->boxmuller_extra_double = v.y; + state->boxmuller_flag_double = EXTRA_FLAG_NORMAL; + return v.x; + } + state->boxmuller_flag_double = 0; + return state->boxmuller_extra_double; +} + + +/** + * \brief Return a normally distributed double from an MRG32k3a generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the XORWOW generator in \p state, + * increment position of generator. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results, then returns them one at a time. + * See ::curand_normal2_double() for a more efficient version that returns + * both results at once. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double curand_normal_double(curandStateMRG32k3a_t *state) +{ + if(state->boxmuller_flag_double != EXTRA_FLAG_NORMAL) { + double2 v = curand_box_muller_mrg_double(state); + state->boxmuller_extra_double = v.y; + state->boxmuller_flag_double = EXTRA_FLAG_NORMAL; + return v.x; + } + state->boxmuller_flag_double = 0; + return state->boxmuller_extra_double; +} + +/** + * \brief Return two normally distributed doubles from an XORWOW generator. + * + * Return two normally distributed doubles with mean \p 0.0 and + * standard deviation \p 1.0 from the XORWOW generator in \p state, + * increment position of generator by 2. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double2 where each element is from a + * distribution with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double2 curand_normal2_double(curandStateXORWOW_t *state) +{ + return curand_box_muller_double(state); +} + +/** + * \brief Return two normally distributed doubles from an Philox4_32_10 generator. + * + * Return two normally distributed doubles with mean \p 0.0 and + * standard deviation \p 1.0 from the Philox4_32_10 generator in \p state, + * increment position of generator by 2. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double2 where each element is from a + * distribution with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double2 curand_normal2_double(curandStatePhilox4_32_10_t *state) +{ + uint4 _x; + double2 result; + + _x = curand4(state); + double2 v1 = _curand_box_muller_double(_x.x, _x.y, _x.z, _x.w); + result.x = v1.x; + result.y = v1.y; + + return result; +} + + // not a part of API +QUALIFIERS double4 curand_normal4_double(curandStatePhilox4_32_10_t *state) +{ + uint4 _x; + uint4 _y; + double4 result; + + _x = curand4(state); + _y = curand4(state); + double2 v1 = _curand_box_muller_double(_x.x, _x.y, _x.z, _x.w); + double2 v2 = _curand_box_muller_double(_y.x, _y.y, _y.z, _y.w); + result.x = v1.x; + result.y = v1.y; + result.z = v2.x; + result.w = v2.y; + + return result; +} + + +/** + * \brief Return two normally distributed doubles from an MRG32k3a generator. + * + * Return two normally distributed doubles with mean \p 0.0 and + * standard deviation \p 1.0 from the MRG32k3a generator in \p state, + * increment position of generator. + * + * The implementation uses a Box-Muller transform to generate two + * normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double2 where each element is from a + * distribution with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double2 curand_normal2_double(curandStateMRG32k3a_t *state) +{ + return curand_box_muller_mrg_double(state); +} + +/** + * \brief Return a normally distributed double from an MTGP32 generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the MTGP32 generator in \p state, + * increment position of generator. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double curand_normal_double(curandStateMtgp32_t *state) +{ + return _curand_normal_icdf_double(curand(state)); +} + +/** + * \brief Return a normally distributed double from an Sobol32 generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double curand_normal_double(curandStateSobol32_t *state) +{ + return _curand_normal_icdf_double(curand(state)); +} + +/** + * \brief Return a normally distributed double from a scrambled Sobol32 generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the scrambled Sobol32 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double curand_normal_double(curandStateScrambledSobol32_t *state) +{ + return _curand_normal_icdf_double(curand(state)); +} + +/** + * \brief Return a normally distributed double from a Sobol64 generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double curand_normal_double(curandStateSobol64_t *state) +{ + return _curand_normal_icdf_double(curand(state)); +} + +/** + * \brief Return a normally distributed double from a scrambled Sobol64 generator. + * + * Return a single normally distributed double with mean \p 0.0 and + * standard deviation \p 1.0 from the scrambled Sobol64 generator in \p state, + * increment position of generator by one. + * + * The implementation uses the inverse cumulative distribution function + * to generate normally distributed results. + * + * \param state - Pointer to state to update + * + * \return Normally distributed double with mean \p 0.0 and standard deviation \p 1.0 + */ +QUALIFIERS double curand_normal_double(curandStateScrambledSobol64_t *state) +{ + return _curand_normal_icdf_double(curand(state)); +} +#endif // !defined(CURAND_NORMAL_H_) diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_philox4x32_x.h b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_philox4x32_x.h new file mode 100644 index 0000000000000000000000000000000000000000..3dbda4a0ce9ef3e11460320728886f7feb10cf2d --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_philox4x32_x.h @@ -0,0 +1,195 @@ +/* Copyright 2010-2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * The source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * The Licensed Deliverables contained herein are PROPRIETARY and + * CONFIDENTIAL to NVIDIA and are being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. THEY ARE + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ +/* + Copyright 2010-2011, D. E. Shaw Research. + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions, and the following disclaimer. + + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions, and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + * Neither the name of D. E. Shaw Research nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + */ + +#ifndef CURAND_PHILOX4X32_X__H_ +#define CURAND_PHILOX4X32_X__H_ +#include + +#if !defined(QUALIFIERS) +#define QUALIFIERS static __forceinline__ __device__ +#endif + +#define PHILOX_W32_0 (0x9E3779B9) +#define PHILOX_W32_1 (0xBB67AE85) +#define PHILOX_M4x32_0 (0xD2511F53) +#define PHILOX_M4x32_1 (0xCD9E8D57) + +struct curandStatePhilox4_32_10 { + uint4 ctr; + uint4 output; + uint2 key; + unsigned int STATE; + int boxmuller_flag; + int boxmuller_flag_double; + float boxmuller_extra; + double boxmuller_extra_double; +}; + +typedef struct curandStatePhilox4_32_10 curandStatePhilox4_32_10_t; + + +QUALIFIERS void Philox_State_Incr(curandStatePhilox4_32_10_t* s, unsigned long long n) +{ + unsigned int nlo = (unsigned int)(n); + unsigned int nhi = (unsigned int)(n>>32); + + s->ctr.x += nlo; + if( s->ctr.x < nlo ) + nhi++; + + s->ctr.y += nhi; + if(nhi <= s->ctr.y) + return; + if(++s->ctr.z) return; + ++s->ctr.w; +} + +QUALIFIERS void Philox_State_Incr_hi(curandStatePhilox4_32_10_t* s, unsigned long long n) +{ + unsigned int nlo = (unsigned int)(n); + unsigned int nhi = (unsigned int)(n>>32); + + s->ctr.z += nlo; + if( s->ctr.z < nlo ) + nhi++; + + s->ctr.w += nhi; +} + + + +QUALIFIERS void Philox_State_Incr(curandStatePhilox4_32_10_t* s) +{ + if(++s->ctr.x) return; + if(++s->ctr.y) return; + if(++s->ctr.z) return; + ++s->ctr.w; +} + + +QUALIFIERS unsigned int mulhilo32(unsigned int a, unsigned int b, unsigned int* hip) +{ +NV_IF_ELSE_TARGET(NV_IS_HOST, + // host code + unsigned long long product = ((unsigned long long)a) * ((unsigned long long)b); + *hip = product >> 32; + return (unsigned int)product; +, + // device code + *hip = __umulhi(a,b); + return a*b; +) +} + +QUALIFIERS uint4 _philox4x32round(uint4 ctr, uint2 key) +{ + unsigned int hi0; + unsigned int hi1; + unsigned int lo0 = mulhilo32(PHILOX_M4x32_0, ctr.x, &hi0); + unsigned int lo1 = mulhilo32(PHILOX_M4x32_1, ctr.z, &hi1); + + uint4 ret = {hi1^ctr.y^key.x, lo1, hi0^ctr.w^key.y, lo0}; + return ret; +} + +QUALIFIERS uint4 curand_Philox4x32_10( uint4 c, uint2 k) +{ + c = _philox4x32round(c, k); // 1 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 2 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 3 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 4 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 5 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 6 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 7 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 8 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + c = _philox4x32round(c, k); // 9 + k.x += PHILOX_W32_0; k.y += PHILOX_W32_1; + return _philox4x32round(c, k); // 10 +} + + +#endif diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_precalc.h b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_precalc.h new file mode 100644 index 0000000000000000000000000000000000000000..01818fb642856eb09f7e3fa0b8202d34c37c8566 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/curand/include/curand_precalc.h @@ -0,0 +1,3548 @@ +/* Copyright 2010-2012 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * The source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * The Licensed Deliverables contained herein are PROPRIETARY and + * CONFIDENTIAL to NVIDIA and are being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. THEY ARE + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and are provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ +#if !defined(CURAND_XORWOW_PRECALCULATED_H_) +#define CURAND_XORWOW_PRECALCULATED_H_ + +#define PRECALC_NUM_MATRICES (32) +#define PRECALC_BLOCK_SIZE (2) +#define PRECALC_BLOCK_MASK ((1<= 201703L) && defined(__cpp_inline_variables) +#define CURAND_XORWOW_PRECALCULATED_DEVICE_QUALIFIERS inline __device__ +#else +#define CURAND_XORWOW_PRECALCULATED_DEVICE_QUALIFIERS static __device__ +#endif + +#if (__cplusplus >= 201703L) && defined(__cpp_inline_variables) +#define CURAND_XORWOW_PRECALCULATED_HOST_QUALIFIERS inline +#else +#define CURAND_XORWOW_PRECALCULATED_HOST_QUALIFIERS static +#endif +CURAND_XORWOW_PRECALCULATED_DEVICE_QUALIFIERS unsigned int precalc_xorwow_matrix[32][800] = { +{ +850664906UL, 2293210629UL, 1517805917UL, 1215500405UL, 1612415445UL, 645388200UL, 824349799UL, 3517232886UL, 4075591755UL, 3089899292UL, 4249786064UL, 3811424903UL, 1100783479UL, 53649761UL, 2817264826UL, 3159462529UL, 1654848550UL, 950025444UL, 3095510002UL, 4080567211UL, 4111078399UL, 3241719305UL, 2788212779UL, 4256963770UL, 2426893717UL, 4190211142UL, 1420776905UL, 3780537969UL, 1102912875UL, 1657948873UL, 3354905256UL, 2519610308UL, +515777663UL, 3396785394UL, 1832603711UL, 1154211550UL, 1915690212UL, 1933919046UL, 789578337UL, 337961173UL, 1359089498UL, 2249086205UL, 3417955173UL, 862571348UL, 528120760UL, 1265685672UL, 1970052076UL, 3585976752UL, 3645339918UL, 312171257UL, 1360991400UL, 1994321680UL, 2327168468UL, 2540437053UL, 1180483641UL, 2217962701UL, 182726833UL, 590204372UL, 1904496495UL, 2545607041UL, 3697978033UL, 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2375539210UL, 557544627UL, +273611522UL, 2717517554UL, 1935966767UL, 1738732887UL, 29153600UL, 20993454UL, 3758163226UL, 1692844400UL, 2176938194UL, 378940221UL, 2888599759UL, 1173120554UL, 2732575460UL, 3912766812UL, 522606644UL, 1925230852UL, 3887440328UL, 2111843275UL, 3549473366UL, 922916775UL, 2889744544UL, 2970467682UL, 3039277863UL, 990580154UL, 55435595UL, 1665634070UL, 3043418336UL, 2792050230UL, 2762503138UL, 1402344059UL, 2099263558UL, 3945248675UL, +3925566467UL, 2413979948UL, 463637252UL, 3768636616UL, 3374572388UL, 2217956879UL, 791988933UL, 382210765UL, 1715859444UL, 3462446413UL, 971427992UL, 3255404695UL, 2001750035UL, 2214129237UL, 320812374UL, 3688098101UL, 920365480UL, 2819401059UL, 2932570681UL, 3749857130UL, 523943786UL, 1271514748UL, 4078439472UL, 3501181265UL, 2475869985UL, 1797996951UL, 2300820710UL, 3994893924UL, 1739992082UL, 2475950326UL, 3780826558UL, 1018851411UL, +}, + +}; +#ifndef __CUDACC_RTC__ +CURAND_XORWOW_PRECALCULATED_HOST_QUALIFIERS unsigned int precalc_xorwow_matrix_host[32][800] = { +{ +850664906UL, 2293210629UL, 1517805917UL, 1215500405UL, 1612415445UL, 645388200UL, 824349799UL, 3517232886UL, 4075591755UL, 3089899292UL, 4249786064UL, 3811424903UL, 1100783479UL, 53649761UL, 2817264826UL, 3159462529UL, 1654848550UL, 950025444UL, 3095510002UL, 4080567211UL, 4111078399UL, 3241719305UL, 2788212779UL, 4256963770UL, 2426893717UL, 4190211142UL, 1420776905UL, 3780537969UL, 1102912875UL, 1657948873UL, 3354905256UL, 2519610308UL, +515777663UL, 3396785394UL, 1832603711UL, 1154211550UL, 1915690212UL, 1933919046UL, 789578337UL, 337961173UL, 1359089498UL, 2249086205UL, 3417955173UL, 862571348UL, 528120760UL, 1265685672UL, 1970052076UL, 3585976752UL, 3645339918UL, 312171257UL, 1360991400UL, 1994321680UL, 2327168468UL, 2540437053UL, 1180483641UL, 2217962701UL, 182726833UL, 590204372UL, 1904496495UL, 2545607041UL, 3697978033UL, 1084030545UL, 3397906968UL, 2192325323UL, +2704204176UL, 1069092002UL, 2364406907UL, 1578647245UL, 3561974633UL, 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2373268568UL, 2354362010UL, 1934462999UL, 1600525238UL, 2889136188UL, 3716879184UL, 1766013949UL, 2822794708UL, 59908073UL, 4051221847UL, 925440190UL, 1508686692UL, 2938291976UL, 2931214731UL, 3300504219UL, 127787091UL, 1528394637UL, 1914923136UL, 62963469UL, 3792639955UL, 1450796299UL, 1634217367UL, 257322213UL, 667987389UL, 811612039UL, 1750779366UL, 1157474938UL, 3083649350UL, +2737193098UL, 3730411668UL, 3308882513UL, 1834571716UL, 2778729422UL, 3452657469UL, 763396788UL, 1597708317UL, 983953861UL, 1337754195UL, 2752347916UL, 3755427117UL, 1646496505UL, 3748241449UL, 3942745717UL, 4222757079UL, 3805706235UL, 4220083901UL, 1069923823UL, 1314928500UL, 3887639520UL, 1967477766UL, 218978249UL, 348955028UL, 3425797638UL, 4168456281UL, 2331688720UL, 1562995454UL, 1837179689UL, 1814071277UL, 814903833UL, 1759522678UL, +319754369UL, 2763991927UL, 1079270448UL, 3818528075UL, 1489552694UL, 2990539062UL, 3244609108UL, 2944573315UL, 1004789460UL, 1636688014UL, 1251222487UL, 2351883247UL, 1356892540UL, 4143823654UL, 3203790139UL, 2777648095UL, 3693390579UL, 983917956UL, 153421222UL, 750726325UL, 1014534145UL, 2091792357UL, 296882400UL, 4018591985UL, 2038878506UL, 2247134268UL, 2840132188UL, 3508266160UL, 1455028838UL, 399657268UL, 1682018695UL, 2640231287UL, +2480988791UL, 1853142849UL, 2077891037UL, 1240264181UL, 1624064648UL, 1741738969UL, 2235369076UL, 4188888201UL, 2762062141UL, 3273470484UL, 3569498651UL, 3627876603UL, 2621448256UL, 996186898UL, 3893981177UL, 4026533880UL, 2687846008UL, 952803645UL, 2184871198UL, 3224094011UL, 1290870737UL, 861379413UL, 738368399UL, 4194384320UL, 2837011297UL, 3833099205UL, 3753321702UL, 3772812520UL, 1948901330UL, 60430044UL, 4131290878UL, 581506474UL, +1655622513UL, 3179087993UL, 1936928378UL, 2379952582UL, 2710043900UL, 3754224996UL, 3499496781UL, 1499441233UL, 593780490UL, 2704745463UL, 1167581269UL, 3411391800UL, 4253618056UL, 621889762UL, 4215403465UL, 1867781671UL, 8035741UL, 4038904206UL, 2045289976UL, 3252742933UL, 3189323143UL, 956553276UL, 3096241999UL, 2188329018UL, 1865159158UL, 996778900UL, 2483934330UL, 3673546814UL, 2717648418UL, 3123557619UL, 3129088144UL, 2145883445UL, +3653728520UL, 1528077261UL, 21840044UL, 4230756652UL, 3216304963UL, 2373268568UL, 803158556UL, 1934462999UL, 1600525238UL, 2889136188UL, 3716879184UL, 161827512UL, 2822794708UL, 59908073UL, 4051221847UL, 925440190UL, 3599942370UL, 2938291976UL, 2931214731UL, 3300504219UL, 127787091UL, 4082579845UL, 1914923136UL, 62963469UL, 3792639955UL, 1450796299UL, 2035446714UL, 257322213UL, 667987389UL, 811612039UL, 1750779366UL, 2344204796UL, +3083649350UL, 2737193098UL, 3730411668UL, 3308882513UL, 2765191583UL, 2778729422UL, 3452657469UL, 763396788UL, 1597708317UL, 1854746879UL, 1337754195UL, 2752347916UL, 3755427117UL, 1646496505UL, 4020292301UL, 3942745717UL, 4222757079UL, 3805706235UL, 4220083901UL, 1408262601UL, 1314928500UL, 3887639520UL, 1967477766UL, 218978249UL, 2173193841UL, 3425797638UL, 4168456281UL, 2331688720UL, 1562995454UL, 2835294077UL, 1814071277UL, 814903833UL, +1759522678UL, 319754369UL, 4048528178UL, 1079270448UL, 3818528075UL, 1489552694UL, 2990539062UL, 787253600UL, 2944573315UL, 1004789460UL, 1636688014UL, 1251222487UL, 3584515216UL, 1356892540UL, 4143823654UL, 3203790139UL, 2777648095UL, 1681621541UL, 983917956UL, 153421222UL, 750726325UL, 1014534145UL, 3951869055UL, 296882400UL, 4018591985UL, 2038878506UL, 2247134268UL, 1990726826UL, 3508266160UL, 1455028838UL, 399657268UL, 1682018695UL, +3360119279UL, 3151120565UL, 3011208718UL, 3694535943UL, 104562665UL, 2827623271UL, 249712003UL, 3413221355UL, 2347164236UL, 3227498378UL, 1805068659UL, 2118219686UL, 1568133029UL, 902801951UL, 175637375UL, 3812819970UL, 2162769758UL, 3845613089UL, 1795179477UL, 171494391UL, 3765826349UL, 1725798906UL, 345463508UL, 2481043227UL, 226569380UL, 3250095421UL, 1085199388UL, 3107594542UL, 4011388155UL, 1092611190UL, 3239339214UL, 4211849464UL, +4109911546UL, 81212018UL, 3691937144UL, 2477407396UL, 3320520455UL, 3070067913UL, 3808621884UL, 252917069UL, 3394860294UL, 1092442235UL, 2876536384UL, 1684120191UL, 431096075UL, 1701716708UL, 639881684UL, 3066183997UL, 3660504927UL, 2047274UL, 3424756424UL, 760932520UL, 2457976057UL, 1705265011UL, 2691137533UL, 3684307557UL, 3532744498UL, 2319162513UL, 1015534908UL, 1907173398UL, 2820698743UL, 1264455116UL, 2323788906UL, 3062240844UL, +1878550513UL, 1717353426UL, 1805673248UL, 62425157UL, 3662381032UL, 1964107209UL, 2559831960UL, 2117844804UL, 1228721677UL, 4240498866UL, 3212920337UL, 2338600301UL, 931588693UL, 2379606585UL, 3643222352UL, 4154645082UL, 1115847065UL, 2079427925UL, 2256943798UL, 2795103368UL, 2688136486UL, 1458062143UL, 1767222217UL, 635424385UL, 284062050UL, 1547163554UL, 3380046528UL, 1145758046UL, 3935976713UL, 4017430175UL, 3863367362UL, 3041367424UL, +303263160UL, 1465965696UL, 3757919837UL, 3083072836UL, 4024514094UL, 1381331179UL, 2393446325UL, 3256476469UL, 4066482738UL, 3437941107UL, 1051266504UL, 921764078UL, 2933305619UL, 1358097211UL, 4100978724UL, 2709958834UL, 574590507UL, 961767386UL, 21100886UL, 753746372UL, 4072632446UL, 733729367UL, 3060214669UL, 289165105UL, 426065754UL, 2036100240UL, 2172365757UL, 502856627UL, 84490194UL, 2630806596UL, 1206161269UL, 1009438449UL, +569581317UL, 1836947000UL, 3125379675UL, 1756936428UL, 3772694822UL, 3670337911UL, 3020603818UL, 2376224883UL, 2539951453UL, 2053395002UL, 3525193914UL, 1991480838UL, 3786481083UL, 873873707UL, 1693894743UL, 2450223985UL, 754878026UL, 1943356492UL, 401524329UL, 759931885UL, 611231307UL, 147950334UL, 599693701UL, 3358729722UL, 3649058074UL, 906423787UL, 1333804225UL, 875187278UL, 1115838692UL, 2476325972UL, 3307226674UL, 3539078918UL, +}, + +}; +#ifndef __CUDACC_RTC__ +CURAND_XORWOW_PRECALCULATED_HOST_QUALIFIERS unsigned int precalc_xorwow_offset_matrix_host[32][800] = { +{ +0UL, 0UL, 0UL, 0UL, 3UL, 0UL, 0UL, 0UL, 0UL, 6UL, 0UL, 0UL, 0UL, 0UL, 15UL, 0UL, 0UL, 0UL, 0UL, 30UL, 0UL, 0UL, 0UL, 0UL, 60UL, 0UL, 0UL, 0UL, 0UL, 120UL, 0UL, 0UL, +0UL, 0UL, 240UL, 0UL, 0UL, 0UL, 0UL, 480UL, 0UL, 0UL, 0UL, 0UL, 960UL, 0UL, 0UL, 0UL, 0UL, 1920UL, 0UL, 0UL, 0UL, 0UL, 3840UL, 0UL, 0UL, 0UL, 0UL, 7680UL, 0UL, 0UL, 0UL, 0UL, +15360UL, 0UL, 0UL, 0UL, 0UL, 30720UL, 0UL, 0UL, 0UL, 0UL, 61440UL, 0UL, 0UL, 0UL, 0UL, 122880UL, 0UL, 0UL, 0UL, 0UL, 245760UL, 0UL, 0UL, 0UL, 0UL, 491520UL, 0UL, 0UL, 0UL, 0UL, 983040UL, 0UL, +0UL, 0UL, 0UL, 1966080UL, 0UL, 0UL, 0UL, 0UL, 3932160UL, 0UL, 0UL, 0UL, 0UL, 7864320UL, 0UL, 0UL, 0UL, 0UL, 15728640UL, 0UL, 0UL, 0UL, 0UL, 31457280UL, 0UL, 0UL, 0UL, 0UL, 62914560UL, 0UL, 0UL, 0UL, +0UL, 125829120UL, 0UL, 0UL, 0UL, 0UL, 251658240UL, 0UL, 0UL, 0UL, 0UL, 503316480UL, 0UL, 0UL, 0UL, 0UL, 1006632960UL, 0UL, 0UL, 0UL, 0UL, 2013265920UL, 0UL, 0UL, 0UL, 0UL, 4026531840UL, 0UL, 0UL, 0UL, 0UL, 3758096384UL, +1UL, 0UL, 0UL, 0UL, 0UL, 2UL, 0UL, 0UL, 0UL, 0UL, 4UL, 0UL, 0UL, 0UL, 0UL, 8UL, 0UL, 0UL, 0UL, 0UL, 16UL, 0UL, 0UL, 0UL, 0UL, 32UL, 0UL, 0UL, 0UL, 0UL, 64UL, 0UL, +0UL, 0UL, 0UL, 128UL, 0UL, 0UL, 0UL, 0UL, 256UL, 0UL, 0UL, 0UL, 0UL, 512UL, 0UL, 0UL, 0UL, 0UL, 1024UL, 0UL, 0UL, 0UL, 0UL, 2048UL, 0UL, 0UL, 0UL, 0UL, 4096UL, 0UL, 0UL, 0UL, +0UL, 8192UL, 0UL, 0UL, 0UL, 0UL, 16384UL, 0UL, 0UL, 0UL, 0UL, 32768UL, 0UL, 0UL, 0UL, 0UL, 65536UL, 0UL, 0UL, 0UL, 0UL, 131072UL, 0UL, 0UL, 0UL, 0UL, 262144UL, 0UL, 0UL, 0UL, 0UL, 524288UL, +0UL, 0UL, 0UL, 0UL, 1048576UL, 0UL, 0UL, 0UL, 0UL, 2097152UL, 0UL, 0UL, 0UL, 0UL, 4194304UL, 0UL, 0UL, 0UL, 0UL, 8388608UL, 0UL, 0UL, 0UL, 0UL, 16777216UL, 0UL, 0UL, 0UL, 0UL, 33554432UL, 0UL, 0UL, +0UL, 0UL, 67108864UL, 0UL, 0UL, 0UL, 0UL, 134217728UL, 0UL, 0UL, 0UL, 0UL, 268435456UL, 0UL, 0UL, 0UL, 0UL, 536870912UL, 0UL, 0UL, 0UL, 0UL, 1073741824UL, 0UL, 0UL, 0UL, 0UL, 2147483648UL, 0UL, 0UL, 0UL, 0UL, +0UL, 1UL, 0UL, 0UL, 0UL, 0UL, 2UL, 0UL, 0UL, 0UL, 0UL, 4UL, 0UL, 0UL, 0UL, 0UL, 8UL, 0UL, 0UL, 0UL, 0UL, 16UL, 0UL, 0UL, 0UL, 0UL, 32UL, 0UL, 0UL, 0UL, 0UL, 64UL, +0UL, 0UL, 0UL, 0UL, 128UL, 0UL, 0UL, 0UL, 0UL, 256UL, 0UL, 0UL, 0UL, 0UL, 512UL, 0UL, 0UL, 0UL, 0UL, 1024UL, 0UL, 0UL, 0UL, 0UL, 2048UL, 0UL, 0UL, 0UL, 0UL, 4096UL, 0UL, 0UL, +0UL, 0UL, 8192UL, 0UL, 0UL, 0UL, 0UL, 16384UL, 0UL, 0UL, 0UL, 0UL, 32768UL, 0UL, 0UL, 0UL, 0UL, 65536UL, 0UL, 0UL, 0UL, 0UL, 131072UL, 0UL, 0UL, 0UL, 0UL, 262144UL, 0UL, 0UL, 0UL, 0UL, +524288UL, 0UL, 0UL, 0UL, 0UL, 1048576UL, 0UL, 0UL, 0UL, 0UL, 2097152UL, 0UL, 0UL, 0UL, 0UL, 4194304UL, 0UL, 0UL, 0UL, 0UL, 8388608UL, 0UL, 0UL, 0UL, 0UL, 16777216UL, 0UL, 0UL, 0UL, 0UL, 33554432UL, 0UL, +0UL, 0UL, 0UL, 67108864UL, 0UL, 0UL, 0UL, 0UL, 134217728UL, 0UL, 0UL, 0UL, 0UL, 268435456UL, 0UL, 0UL, 0UL, 0UL, 536870912UL, 0UL, 0UL, 0UL, 0UL, 1073741824UL, 0UL, 0UL, 0UL, 0UL, 2147483648UL, 0UL, 0UL, 0UL, +0UL, 0UL, 1UL, 0UL, 0UL, 0UL, 0UL, 2UL, 0UL, 0UL, 0UL, 0UL, 4UL, 0UL, 0UL, 0UL, 0UL, 8UL, 0UL, 0UL, 0UL, 0UL, 16UL, 0UL, 0UL, 0UL, 0UL, 32UL, 0UL, 0UL, 0UL, 0UL, +64UL, 0UL, 0UL, 0UL, 0UL, 128UL, 0UL, 0UL, 0UL, 0UL, 256UL, 0UL, 0UL, 0UL, 0UL, 512UL, 0UL, 0UL, 0UL, 0UL, 1024UL, 0UL, 0UL, 0UL, 0UL, 2048UL, 0UL, 0UL, 0UL, 0UL, 4096UL, 0UL, +0UL, 0UL, 0UL, 8192UL, 0UL, 0UL, 0UL, 0UL, 16384UL, 0UL, 0UL, 0UL, 0UL, 32768UL, 0UL, 0UL, 0UL, 0UL, 65536UL, 0UL, 0UL, 0UL, 0UL, 131072UL, 0UL, 0UL, 0UL, 0UL, 262144UL, 0UL, 0UL, 0UL, +0UL, 524288UL, 0UL, 0UL, 0UL, 0UL, 1048576UL, 0UL, 0UL, 0UL, 0UL, 2097152UL, 0UL, 0UL, 0UL, 0UL, 4194304UL, 0UL, 0UL, 0UL, 0UL, 8388608UL, 0UL, 0UL, 0UL, 0UL, 16777216UL, 0UL, 0UL, 0UL, 0UL, 33554432UL, +0UL, 0UL, 0UL, 0UL, 67108864UL, 0UL, 0UL, 0UL, 0UL, 134217728UL, 0UL, 0UL, 0UL, 0UL, 268435456UL, 0UL, 0UL, 0UL, 0UL, 536870912UL, 0UL, 0UL, 0UL, 0UL, 1073741824UL, 0UL, 0UL, 0UL, 0UL, 2147483648UL, 0UL, 0UL, +0UL, 0UL, 0UL, 1UL, 17UL, 0UL, 0UL, 0UL, 2UL, 34UL, 0UL, 0UL, 0UL, 4UL, 68UL, 0UL, 0UL, 0UL, 8UL, 136UL, 0UL, 0UL, 0UL, 16UL, 272UL, 0UL, 0UL, 0UL, 32UL, 544UL, 0UL, 0UL, +0UL, 64UL, 1088UL, 0UL, 0UL, 0UL, 128UL, 2176UL, 0UL, 0UL, 0UL, 256UL, 4352UL, 0UL, 0UL, 0UL, 512UL, 8704UL, 0UL, 0UL, 0UL, 1024UL, 17408UL, 0UL, 0UL, 0UL, 2048UL, 34816UL, 0UL, 0UL, 0UL, 4096UL, +69632UL, 0UL, 0UL, 0UL, 8192UL, 139264UL, 0UL, 0UL, 0UL, 16384UL, 278528UL, 0UL, 0UL, 0UL, 32768UL, 557056UL, 0UL, 0UL, 0UL, 65536UL, 1114112UL, 0UL, 0UL, 0UL, 131072UL, 2228224UL, 0UL, 0UL, 0UL, 262144UL, 4456448UL, 0UL, +0UL, 0UL, 524288UL, 8912896UL, 0UL, 0UL, 0UL, 1048576UL, 17825792UL, 0UL, 0UL, 0UL, 2097152UL, 35651584UL, 0UL, 0UL, 0UL, 4194304UL, 71303168UL, 0UL, 0UL, 0UL, 8388608UL, 142606336UL, 0UL, 0UL, 0UL, 16777216UL, 285212672UL, 0UL, 0UL, 0UL, +33554432UL, 570425344UL, 0UL, 0UL, 0UL, 67108864UL, 1140850688UL, 0UL, 0UL, 0UL, 134217728UL, 2281701376UL, 0UL, 0UL, 0UL, 268435456UL, 268435456UL, 0UL, 0UL, 0UL, 536870912UL, 536870912UL, 0UL, 0UL, 0UL, 1073741824UL, 1073741824UL, 0UL, 0UL, 0UL, 2147483648UL, 2147483648UL, +}, +{ +0UL, 3UL, 51UL, 771UL, 13107UL, 0UL, 6UL, 102UL, 1542UL, 26214UL, 0UL, 15UL, 255UL, 3855UL, 65535UL, 0UL, 30UL, 510UL, 7710UL, 131070UL, 0UL, 60UL, 1020UL, 15420UL, 262140UL, 0UL, 120UL, 2040UL, 30840UL, 524280UL, 0UL, 240UL, +4080UL, 61680UL, 1048560UL, 0UL, 480UL, 8160UL, 123360UL, 2097120UL, 0UL, 960UL, 16320UL, 246720UL, 4194240UL, 0UL, 1920UL, 32640UL, 493440UL, 8388480UL, 0UL, 3840UL, 65280UL, 986880UL, 16776960UL, 0UL, 7680UL, 130560UL, 1973760UL, 33553920UL, 0UL, 15360UL, 261120UL, 3947520UL, +67107840UL, 0UL, 30720UL, 522240UL, 7895040UL, 134215680UL, 0UL, 61440UL, 1044480UL, 15790080UL, 268431360UL, 0UL, 122880UL, 2088960UL, 31580160UL, 536862720UL, 0UL, 245760UL, 4177920UL, 63160320UL, 1073725440UL, 0UL, 491520UL, 8355840UL, 126320640UL, 2147450880UL, 0UL, 983040UL, 16711680UL, 252641280UL, 4294901760UL, 0UL, +1966080UL, 33423360UL, 505282560UL, 4294836224UL, 0UL, 3932160UL, 66846720UL, 1010565120UL, 4294705152UL, 0UL, 7864320UL, 133693440UL, 2021130240UL, 4294443008UL, 0UL, 15728640UL, 267386880UL, 4042260480UL, 4293918720UL, 0UL, 31457280UL, 534773760UL, 3789553664UL, 4292870144UL, 0UL, 62914560UL, 1069547520UL, 3284140032UL, 4290772992UL, 0UL, 125829120UL, 2139095040UL, +2273312768UL, 4286578688UL, 0UL, 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a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..895eb90e36a6c2da0f074c17fea0d325f74d495b Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..ee0306f9fbabaee96ca6f304a2b499840c571532 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverDn.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverDn.h new file mode 100644 index 0000000000000000000000000000000000000000..ad79838d00753056d131cad719ddc1d1ff4e9561 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverDn.h @@ -0,0 +1,4874 @@ +/* + * Copyright 2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +/* cuSolverDN : Dense Linear Algebra Library + +*/ + +#if !defined(CUSOLVERDN_H_) + #define CUSOLVERDN_H_ + +struct cusolverDnContext; +typedef struct cusolverDnContext *cusolverDnHandle_t; + +struct syevjInfo; +typedef struct syevjInfo *syevjInfo_t; + +struct gesvdjInfo; +typedef struct gesvdjInfo *gesvdjInfo_t; + +//------------------------------------------------------ +// opaque cusolverDnIRS structure for IRS solver +struct cusolverDnIRSParams; +typedef struct cusolverDnIRSParams *cusolverDnIRSParams_t; + +struct cusolverDnIRSInfos; +typedef struct cusolverDnIRSInfos *cusolverDnIRSInfos_t; +//------------------------------------------------------ + +struct cusolverDnParams; +typedef struct cusolverDnParams *cusolverDnParams_t; + +typedef enum { + CUSOLVERDN_GETRF = 0, + CUSOLVERDN_POTRF = 1 +} cusolverDnFunction_t; + + #include + + #include "cuComplex.h" /* import complex data type */ + #include "cublas_v2.h" + #include "cusolver_common.h" + + /*******************************************************************************/ + #ifdef __cplusplus +extern "C" { + #endif + + cusolverStatus_t CUSOLVERAPI cusolverDnCreate(cusolverDnHandle_t *handle); + cusolverStatus_t CUSOLVERAPI cusolverDnDestroy(cusolverDnHandle_t handle); + cusolverStatus_t CUSOLVERAPI + cusolverDnSetStream(cusolverDnHandle_t handle, cudaStream_t streamId); + cusolverStatus_t CUSOLVERAPI + cusolverDnGetStream(cusolverDnHandle_t handle, cudaStream_t *streamId); + + //============================================================ + // IRS headers + //============================================================ + + // ============================================================================= + // IRS helper function API + // ============================================================================= + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSParamsCreate(cusolverDnIRSParams_t *params_ptr); + + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSParamsDestroy(cusolverDnIRSParams_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSParamsSetRefinementSolver( + cusolverDnIRSParams_t params, + cusolverIRSRefinement_t refinement_solver); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSParamsSetSolverMainPrecision( + cusolverDnIRSParams_t params, + cusolverPrecType_t solver_main_precision); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSParamsSetSolverLowestPrecision( + cusolverDnIRSParams_t params, + cusolverPrecType_t solver_lowest_precision); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSParamsSetSolverPrecisions( + cusolverDnIRSParams_t params, + cusolverPrecType_t solver_main_precision, + cusolverPrecType_t solver_lowest_precision); + + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSParamsSetTol(cusolverDnIRSParams_t params, double val); + + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSParamsSetTolInner(cusolverDnIRSParams_t params, double val); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSParamsSetMaxIters( + cusolverDnIRSParams_t params, + cusolver_int_t maxiters); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSParamsSetMaxItersInner( + cusolverDnIRSParams_t params, + cusolver_int_t maxiters_inner); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSParamsGetMaxIters( + cusolverDnIRSParams_t params, + cusolver_int_t * maxiters); + + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSParamsEnableFallback(cusolverDnIRSParams_t params); + + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSParamsDisableFallback(cusolverDnIRSParams_t params); + + // ============================================================================= + // cusolverDnIRSInfos prototypes + // ============================================================================= + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSInfosDestroy(cusolverDnIRSInfos_t infos); + + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSInfosCreate(cusolverDnIRSInfos_t *infos_ptr); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSInfosGetNiters( + cusolverDnIRSInfos_t infos, + cusolver_int_t * niters); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSInfosGetOuterNiters( + cusolverDnIRSInfos_t infos, + cusolver_int_t * outer_niters); + + cusolverStatus_t CUSOLVERAPI + cusolverDnIRSInfosRequestResidual(cusolverDnIRSInfos_t infos); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSInfosGetResidualHistory( + cusolverDnIRSInfos_t infos, + void ** residual_history); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSInfosGetMaxIters( + cusolverDnIRSInfos_t infos, + cusolver_int_t * maxiters); + + //============================================================ + // IRS functions API + //============================================================ + + /*******************************************************************************/ /* + * [ZZ, ZC, ZK, ZE, ZY, CC, CK, CE, CY, DD, DS, DH, DB, DX, SS, SH, SB, SX]gesv + * users API Prototypes */ + /*******************************************************************************/ + cusolverStatus_t CUSOLVERAPI cusolverDnZZgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZCgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZKgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZEgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZYgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCCgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCEgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCKgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCYgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDDgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDSgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDHgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDBgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDXgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSSgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSHgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSBgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSXgesv( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + /*******************************************************************************/ + + /*******************************************************************************/ /* + * [ZZ, ZC, ZK, ZE, ZY, CC, CK, CE, CY, DD, DS, DH, DB, DX, SS, SH, SB, SX]gesv_bufferSize + * users API Prototypes */ + /*******************************************************************************/ + cusolverStatus_t CUSOLVERAPI cusolverDnZZgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZCgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZKgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZEgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZYgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCCgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCKgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCEgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCYgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDDgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDSgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDHgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDBgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDXgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSSgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSHgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSBgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSXgesv_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + cusolver_int_t * dipiv, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + /*******************************************************************************/ + + /*******************************************************************************/ /* + * [ZZ, ZC, ZK, ZE, ZY, CC, CK, CE, CY, DD, DS, DH, DB, DX, SS, SH, SB, SX]gels + * users API Prototypes */ + /*******************************************************************************/ + cusolverStatus_t CUSOLVERAPI cusolverDnZZgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZCgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZKgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZEgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZYgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCCgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCKgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCEgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCYgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDDgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDSgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDHgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDBgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDXgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSSgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSHgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSBgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnSXgels( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * iter, + cusolver_int_t * d_info); + /*******************************************************************************/ + + /*******************************************************************************/ /* + * [ZZ, ZC, ZK, ZE, ZY, CC, CK, CE, CY, DD, DS, DH, DB, DX, SS, SH, SB, SX]gels_bufferSize + * API prototypes */ + /*******************************************************************************/ + cusolverStatus_t CUSOLVERAPI cusolverDnZZgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZCgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZKgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZEgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnZYgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuDoubleComplex * dA, + cusolver_int_t ldda, + cuDoubleComplex * dB, + cusolver_int_t lddb, + cuDoubleComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCCgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCKgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCEgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnCYgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + cuComplex * dA, + cusolver_int_t ldda, + cuComplex * dB, + cusolver_int_t lddb, + cuComplex * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDDgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDSgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDHgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDBgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnDXgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + double * dA, + cusolver_int_t ldda, + double * dB, + cusolver_int_t lddb, + double * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSSgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSHgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSBgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnSXgels_bufferSize( + cusolverDnHandle_t handle, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + float * dA, + cusolver_int_t ldda, + float * dB, + cusolver_int_t lddb, + float * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t * lwork_bytes); + /*******************************************************************************/ + + /*******************************************************************************/ /* + * expert users API for IRS Prototypes + * */ + /*******************************************************************************/ + cusolverStatus_t CUSOLVERAPI cusolverDnIRSXgesv( + cusolverDnHandle_t handle, + cusolverDnIRSParams_t gesv_irs_params, + cusolverDnIRSInfos_t gesv_irs_infos, + cusolver_int_t n, + cusolver_int_t nrhs, + void * dA, + cusolver_int_t ldda, + void * dB, + cusolver_int_t lddb, + void * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * niters, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSXgesv_bufferSize( + cusolverDnHandle_t handle, + cusolverDnIRSParams_t params, + cusolver_int_t n, + cusolver_int_t nrhs, + size_t * lwork_bytes); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSXgels( + cusolverDnHandle_t handle, + cusolverDnIRSParams_t gels_irs_params, + cusolverDnIRSInfos_t gels_irs_infos, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + void * dA, + cusolver_int_t ldda, + void * dB, + cusolver_int_t lddb, + void * dX, + cusolver_int_t lddx, + void * dWorkspace, + size_t lwork_bytes, + cusolver_int_t * niters, + cusolver_int_t * d_info); + + cusolverStatus_t CUSOLVERAPI cusolverDnIRSXgels_bufferSize( + cusolverDnHandle_t handle, + cusolverDnIRSParams_t params, + cusolver_int_t m, + cusolver_int_t n, + cusolver_int_t nrhs, + size_t * lwork_bytes); + /*******************************************************************************/ + + /* Cholesky factorization and its solver */ + cusolverStatus_t CUSOLVERAPI cusolverDnSpotrf_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDpotrf_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCpotrf_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZpotrf_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSpotrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * Workspace, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDpotrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * Workspace, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCpotrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + cuComplex * Workspace, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZpotrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * Workspace, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnSpotrs( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, + const float * A, + int lda, + float * B, + int ldb, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDpotrs( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, + const double * A, + int lda, + double * B, + int ldb, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCpotrs( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, + const cuComplex * A, + int lda, + cuComplex * B, + int ldb, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZpotrs( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, + const cuDoubleComplex *A, + int lda, + cuDoubleComplex * B, + int ldb, + int * devInfo); + + /* batched Cholesky factorization and its solver */ + cusolverStatus_t CUSOLVERAPI cusolverDnSpotrfBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * Aarray[], + int lda, + int * infoArray, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDpotrfBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * Aarray[], + int lda, + int * infoArray, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCpotrfBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * Aarray[], + int lda, + int * infoArray, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZpotrfBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * Aarray[], + int lda, + int * infoArray, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnSpotrsBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, /* only support rhs = 1*/ + float * A[], + int lda, + float * B[], + int ldb, + int * d_info, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDpotrsBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, /* only support rhs = 1*/ + double * A[], + int lda, + double * B[], + int ldb, + int * d_info, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCpotrsBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, /* only support rhs = 1*/ + cuComplex * A[], + int lda, + cuComplex * B[], + int ldb, + int * d_info, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZpotrsBatched( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, /* only support rhs = 1*/ + cuDoubleComplex * A[], + int lda, + cuDoubleComplex * B[], + int ldb, + int * d_info, + int batchSize); + + /* s.p.d. matrix inversion (POTRI) and auxiliary routines (TRTRI and LAUUM) */ + cusolverStatus_t CUSOLVERAPI cusolverDnSpotri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDpotri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCpotri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZpotri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSpotri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDpotri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCpotri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + cuComplex * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZpotri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnXtrtri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + cublasDiagType_t diag, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXtrtri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + cublasDiagType_t diag, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * devInfo); + + /* lauum, auxiliar routine for s.p.d matrix inversion */ + cusolverStatus_t CUSOLVERAPI cusolverDnSlauum_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDlauum_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnClauum_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZlauum_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSlauum( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDlauum( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnClauum( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + cuComplex * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZlauum( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * work, + int lwork, + int * devInfo); + + /* LU Factorization */ + cusolverStatus_t CUSOLVERAPI cusolverDnSgetrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + float * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgetrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + double * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgetrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + cuComplex * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgetrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + cuDoubleComplex * A, + int lda, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgetrf( + cusolverDnHandle_t handle, + int m, + int n, + float * A, + int lda, + float * Workspace, + int * devIpiv, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgetrf( + cusolverDnHandle_t handle, + int m, + int n, + double * A, + int lda, + double * Workspace, + int * devIpiv, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgetrf( + cusolverDnHandle_t handle, + int m, + int n, + cuComplex * A, + int lda, + cuComplex * Workspace, + int * devIpiv, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgetrf( + cusolverDnHandle_t handle, + int m, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * Workspace, + int * devIpiv, + int * devInfo); + + /* Row pivoting */ + cusolverStatus_t CUSOLVERAPI cusolverDnSlaswp( + cusolverDnHandle_t handle, + int n, + float * A, + int lda, + int k1, + int k2, + const int * devIpiv, + int incx); + + cusolverStatus_t CUSOLVERAPI cusolverDnDlaswp( + cusolverDnHandle_t handle, + int n, + double * A, + int lda, + int k1, + int k2, + const int * devIpiv, + int incx); + + cusolverStatus_t CUSOLVERAPI cusolverDnClaswp( + cusolverDnHandle_t handle, + int n, + cuComplex * A, + int lda, + int k1, + int k2, + const int * devIpiv, + int incx); + + cusolverStatus_t CUSOLVERAPI cusolverDnZlaswp( + cusolverDnHandle_t handle, + int n, + cuDoubleComplex * A, + int lda, + int k1, + int k2, + const int * devIpiv, + int incx); + + /* LU solve */ + cusolverStatus_t CUSOLVERAPI cusolverDnSgetrs( + cusolverDnHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const float * A, + int lda, + const int * devIpiv, + float * B, + int ldb, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgetrs( + cusolverDnHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const double * A, + int lda, + const int * devIpiv, + double * B, + int ldb, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgetrs( + cusolverDnHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const cuComplex * A, + int lda, + const int * devIpiv, + cuComplex * B, + int ldb, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgetrs( + cusolverDnHandle_t handle, + cublasOperation_t trans, + int n, + int nrhs, + const cuDoubleComplex *A, + int lda, + const int * devIpiv, + cuDoubleComplex * B, + int ldb, + int * devInfo); + + /* QR factorization */ + cusolverStatus_t CUSOLVERAPI cusolverDnSgeqrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + float * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgeqrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + double * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgeqrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + cuComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgeqrf_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + cuDoubleComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgeqrf( + cusolverDnHandle_t handle, + int m, + int n, + float * A, + int lda, + float * TAU, + float * Workspace, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgeqrf( + cusolverDnHandle_t handle, + int m, + int n, + double * A, + int lda, + double * TAU, + double * Workspace, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgeqrf( + cusolverDnHandle_t handle, + int m, + int n, + cuComplex * A, + int lda, + cuComplex * TAU, + cuComplex * Workspace, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgeqrf( + cusolverDnHandle_t handle, + int m, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * TAU, + cuDoubleComplex * Workspace, + int Lwork, + int * devInfo); + + /* generate unitary matrix Q from QR factorization */ + cusolverStatus_t CUSOLVERAPI cusolverDnSorgqr_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int k, + const float * A, + int lda, + const float * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDorgqr_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int k, + const double * A, + int lda, + const double * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCungqr_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int k, + const cuComplex * A, + int lda, + const cuComplex * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZungqr_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int k, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSorgqr( + cusolverDnHandle_t handle, + int m, + int n, + int k, + float * A, + int lda, + const float * tau, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDorgqr( + cusolverDnHandle_t handle, + int m, + int n, + int k, + double * A, + int lda, + const double * tau, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCungqr( + cusolverDnHandle_t handle, + int m, + int n, + int k, + cuComplex * A, + int lda, + const cuComplex * tau, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZungqr( + cusolverDnHandle_t handle, + int m, + int n, + int k, + cuDoubleComplex * A, + int lda, + const cuDoubleComplex *tau, + cuDoubleComplex * work, + int lwork, + int * info); + + /* compute Q**T*b in solve min||A*x = b|| */ + cusolverStatus_t CUSOLVERAPI cusolverDnSormqr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const float * A, + int lda, + const float * tau, + const float * C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDormqr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const double * A, + int lda, + const double * tau, + const double * C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCunmqr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const cuComplex * A, + int lda, + const cuComplex * tau, + const cuComplex * C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZunmqr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *tau, + const cuDoubleComplex *C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSormqr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const float * A, + int lda, + const float * tau, + float * C, + int ldc, + float * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDormqr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const double * A, + int lda, + const double * tau, + double * C, + int ldc, + double * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCunmqr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const cuComplex * A, + int lda, + const cuComplex * tau, + cuComplex * C, + int ldc, + cuComplex * work, + int lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZunmqr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasOperation_t trans, + int m, + int n, + int k, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *tau, + cuDoubleComplex * C, + int ldc, + cuDoubleComplex * work, + int lwork, + int * devInfo); + + /* L*D*L**T,U*D*U**T factorization */ + cusolverStatus_t CUSOLVERAPI cusolverDnSsytrf_bufferSize( + cusolverDnHandle_t handle, + int n, + float * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsytrf_bufferSize( + cusolverDnHandle_t handle, + int n, + double * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCsytrf_bufferSize( + cusolverDnHandle_t handle, + int n, + cuComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZsytrf_bufferSize( + cusolverDnHandle_t handle, + int n, + cuDoubleComplex * A, + int lda, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsytrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + int * ipiv, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsytrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + int * ipiv, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCsytrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + int * ipiv, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZsytrf( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + int * ipiv, + cuDoubleComplex * work, + int lwork, + int * info); + + /* Symmetric indefinite solve (SYTRS) */ + cusolverStatus_t CUSOLVERAPI cusolverDnXsytrs_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + int64_t nrhs, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + const int64_t * ipiv, + cudaDataType dataTypeB, + void * B, + int64_t ldb, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXsytrs( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int64_t n, + int64_t nrhs, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + const int64_t * ipiv, + cudaDataType dataTypeB, + void * B, + int64_t ldb, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * info); + + /* Symmetric indefinite inversion (sytri) */ + cusolverStatus_t CUSOLVERAPI cusolverDnSsytri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + const int * ipiv, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsytri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + const int * ipiv, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCsytri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + const int * ipiv, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZsytri_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + const int * ipiv, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsytri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + const int * ipiv, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsytri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + const int * ipiv, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCsytri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + const int * ipiv, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZsytri( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + const int * ipiv, + cuDoubleComplex * work, + int lwork, + int * info); + + /* bidiagonal factorization */ + cusolverStatus_t CUSOLVERAPI cusolverDnSgebrd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgebrd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgebrd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgebrd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * Lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgebrd( + cusolverDnHandle_t handle, + int m, + int n, + float * A, + int lda, + float * D, + float * E, + float * TAUQ, + float * TAUP, + float * Work, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgebrd( + cusolverDnHandle_t handle, + int m, + int n, + double * A, + int lda, + double * D, + double * E, + double * TAUQ, + double * TAUP, + double * Work, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgebrd( + cusolverDnHandle_t handle, + int m, + int n, + cuComplex * A, + int lda, + float * D, + float * E, + cuComplex * TAUQ, + cuComplex * TAUP, + cuComplex * Work, + int Lwork, + int * devInfo); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgebrd( + cusolverDnHandle_t handle, + int m, + int n, + cuDoubleComplex * A, + int lda, + double * D, + double * E, + cuDoubleComplex * TAUQ, + cuDoubleComplex * TAUP, + cuDoubleComplex * Work, + int Lwork, + int * devInfo); + + /* generates one of the unitary matrices Q or P**T determined by GEBRD*/ + cusolverStatus_t CUSOLVERAPI cusolverDnSorgbr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + const float * A, + int lda, + const float * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDorgbr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + const double * A, + int lda, + const double * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCungbr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + const cuComplex * A, + int lda, + const cuComplex * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZungbr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSorgbr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + float * A, + int lda, + const float * tau, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDorgbr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + double * A, + int lda, + const double * tau, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCungbr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + cuComplex * A, + int lda, + const cuComplex * tau, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZungbr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + int m, + int n, + int k, + cuDoubleComplex * A, + int lda, + const cuDoubleComplex *tau, + cuDoubleComplex * work, + int lwork, + int * info); + + /* tridiagonal factorization */ + cusolverStatus_t CUSOLVERAPI cusolverDnSsytrd_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * d, + const float * e, + const float * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsytrd_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * d, + const double * e, + const double * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnChetrd_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const float * d, + const float * e, + const cuComplex * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhetrd_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const double * d, + const double * e, + const cuDoubleComplex *tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsytrd( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * d, + float * e, + float * tau, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsytrd( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * d, + double * e, + double * tau, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnChetrd( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + float * d, + float * e, + cuComplex * tau, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhetrd( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + double * d, + double * e, + cuDoubleComplex * tau, + cuDoubleComplex * work, + int lwork, + int * info); + + /* generate unitary Q comes from sytrd */ + cusolverStatus_t CUSOLVERAPI cusolverDnSorgtr_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDorgtr_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCungtr_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const cuComplex * tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZungtr_bufferSize( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *tau, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSorgtr( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + const float * tau, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDorgtr( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + const double * tau, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCungtr( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + const cuComplex * tau, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZungtr( + cusolverDnHandle_t handle, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + const cuDoubleComplex *tau, + cuDoubleComplex * work, + int lwork, + int * info); + + /* compute op(Q)*C or C*op(Q) where Q comes from sytrd */ + cusolverStatus_t CUSOLVERAPI cusolverDnSormtr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + const float * A, + int lda, + const float * tau, + const float * C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDormtr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + const double * A, + int lda, + const double * tau, + const double * C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCunmtr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + const cuComplex * A, + int lda, + const cuComplex * tau, + const cuComplex * C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZunmtr_bufferSize( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *tau, + const cuDoubleComplex *C, + int ldc, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSormtr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + float * A, + int lda, + float * tau, + float * C, + int ldc, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDormtr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + double * A, + int lda, + double * tau, + double * C, + int ldc, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCunmtr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + cuComplex * A, + int lda, + cuComplex * tau, + cuComplex * C, + int ldc, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZunmtr( + cusolverDnHandle_t handle, + cublasSideMode_t side, + cublasFillMode_t uplo, + cublasOperation_t trans, + int m, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * tau, + cuDoubleComplex * C, + int ldc, + cuDoubleComplex * work, + int lwork, + int * info); + + /* singular value decomposition, A = U * Sigma * V^H */ + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvd_bufferSize( + cusolverDnHandle_t handle, + int m, + int n, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvd( + cusolverDnHandle_t handle, + signed char jobu, + signed char jobvt, + int m, + int n, + float * A, + int lda, + float * S, + float * U, + int ldu, + float * VT, + int ldvt, + float * work, + int lwork, + float * rwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvd( + cusolverDnHandle_t handle, + signed char jobu, + signed char jobvt, + int m, + int n, + double * A, + int lda, + double * S, + double * U, + int ldu, + double * VT, + int ldvt, + double * work, + int lwork, + double * rwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvd( + cusolverDnHandle_t handle, + signed char jobu, + signed char jobvt, + int m, + int n, + cuComplex * A, + int lda, + float * S, + cuComplex * U, + int ldu, + cuComplex * VT, + int ldvt, + cuComplex * work, + int lwork, + float * rwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvd( + cusolverDnHandle_t handle, + signed char jobu, + signed char jobvt, + int m, + int n, + cuDoubleComplex * A, + int lda, + double * S, + cuDoubleComplex * U, + int ldu, + cuDoubleComplex * VT, + int ldvt, + cuDoubleComplex * work, + int lwork, + double * rwork, + int * info); + + /* standard symmetric eigenvalue solver, A*x = lambda*x, by divide-and-conquer + */ + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevd( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * W, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevd( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * W, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevd( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + float * W, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevd( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + double * W, + cuDoubleComplex * work, + int lwork, + int * info); + + /* standard selective symmetric eigenvalue solver, A*x = lambda*x, by + * divide-and-conquer */ + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + float vl, + float vu, + int il, + int iu, + int * meig, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + double vl, + double vu, + int il, + int iu, + int * meig, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + float vl, + float vu, + int il, + int iu, + int * meig, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + double vl, + double vu, + int il, + int iu, + int * meig, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevdx( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float vl, + float vu, + int il, + int iu, + int * meig, + float * W, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevdx( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double vl, + double vu, + int il, + int iu, + int * meig, + double * W, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevdx( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + float vl, + float vu, + int il, + int iu, + int * meig, + float * W, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevdx( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + double vl, + double vu, + int il, + int iu, + int * meig, + double * W, + cuDoubleComplex * work, + int lwork, + int * info); + + /* selective generalized symmetric eigenvalue solver, A*x = lambda*B*x, by + * divide-and-conquer */ + cusolverStatus_t CUSOLVERAPI cusolverDnSsygvdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * B, + int ldb, + float vl, + float vu, + int il, + int iu, + int * meig, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsygvdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * B, + int ldb, + double vl, + double vu, + int il, + int iu, + int * meig, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnChegvdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const cuComplex * B, + int ldb, + float vl, + float vu, + int il, + int iu, + int * meig, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhegvdx_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *B, + int ldb, + double vl, + double vu, + int il, + int iu, + int * meig, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsygvdx( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * B, + int ldb, + float vl, + float vu, + int il, + int iu, + int * meig, + float * W, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsygvdx( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * B, + int ldb, + double vl, + double vu, + int il, + int iu, + int * meig, + double * W, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnChegvdx( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + cuComplex * B, + int ldb, + float vl, + float vu, + int il, + int iu, + int * meig, + float * W, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhegvdx( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * B, + int ldb, + double vl, + double vu, + int il, + int iu, + int * meig, + double * W, + cuDoubleComplex * work, + int lwork, + int * info); + + /* generalized symmetric eigenvalue solver, A*x = lambda*B*x, by + * divide-and-conquer */ + cusolverStatus_t CUSOLVERAPI cusolverDnSsygvd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * B, + int ldb, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsygvd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * B, + int ldb, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnChegvd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const cuComplex * B, + int ldb, + const float * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhegvd_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *B, + int ldb, + const double * W, + int * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsygvd( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * B, + int ldb, + float * W, + float * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsygvd( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * B, + int ldb, + double * W, + double * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnChegvd( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + cuComplex * B, + int ldb, + float * W, + cuComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhegvd( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * B, + int ldb, + double * W, + cuDoubleComplex * work, + int lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverDnCreateSyevjInfo(syevjInfo_t *info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDestroySyevjInfo(syevjInfo_t info); + + cusolverStatus_t CUSOLVERAPI + cusolverDnXsyevjSetTolerance(syevjInfo_t info, double tolerance); + + cusolverStatus_t CUSOLVERAPI + cusolverDnXsyevjSetMaxSweeps(syevjInfo_t info, int max_sweeps); + + cusolverStatus_t CUSOLVERAPI + cusolverDnXsyevjSetSortEig(syevjInfo_t info, int sort_eig); + + cusolverStatus_t CUSOLVERAPI cusolverDnXsyevjGetResidual( + cusolverDnHandle_t handle, + syevjInfo_t info, + double * residual); + + cusolverStatus_t CUSOLVERAPI cusolverDnXsyevjGetSweeps( + cusolverDnHandle_t handle, + syevjInfo_t info, + int * executed_sweeps); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * W, + int * lwork, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * W, + int * lwork, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const float * W, + int * lwork, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const double * W, + int * lwork, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * W, + float * work, + int lwork, + int * info, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * W, + double * work, + int lwork, + int * info, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + float * W, + cuComplex * work, + int lwork, + int * info, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + double * W, + cuDoubleComplex * work, + int lwork, + int * info, + syevjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const float * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const double * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsyevj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * W, + float * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsyevj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * W, + double * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnCheevj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + float * W, + cuComplex * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnZheevj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + double * W, + cuDoubleComplex * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsygvj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const float * A, + int lda, + const float * B, + int ldb, + const float * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsygvj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const double * A, + int lda, + const double * B, + int ldb, + const double * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnChegvj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuComplex * A, + int lda, + const cuComplex * B, + int ldb, + const float * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhegvj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + const cuDoubleComplex *A, + int lda, + const cuDoubleComplex *B, + int ldb, + const double * W, + int * lwork, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnSsygvj( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + float * A, + int lda, + float * B, + int ldb, + float * W, + float * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnDsygvj( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + double * A, + int lda, + double * B, + int ldb, + double * W, + double * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnChegvj( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuComplex * A, + int lda, + cuComplex * B, + int ldb, + float * W, + cuComplex * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnZhegvj( + cusolverDnHandle_t handle, + cusolverEigType_t itype, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int n, + cuDoubleComplex * A, + int lda, + cuDoubleComplex * B, + int ldb, + double * W, + cuDoubleComplex * work, + int lwork, + int * info, + syevjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnCreateGesvdjInfo(gesvdjInfo_t *info); + + cusolverStatus_t CUSOLVERAPI cusolverDnDestroyGesvdjInfo(gesvdjInfo_t info); + + cusolverStatus_t CUSOLVERAPI + cusolverDnXgesvdjSetTolerance(gesvdjInfo_t info, double tolerance); + + cusolverStatus_t CUSOLVERAPI + cusolverDnXgesvdjSetMaxSweeps(gesvdjInfo_t info, int max_sweeps); + + cusolverStatus_t CUSOLVERAPI + cusolverDnXgesvdjSetSortEig(gesvdjInfo_t info, int sort_svd); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvdjGetResidual( + cusolverDnHandle_t handle, + gesvdjInfo_t info, + double * residual); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvdjGetSweeps( + cusolverDnHandle_t handle, + gesvdjInfo_t info, + int * executed_sweeps); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvdjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + const float * A, + int lda, + const float * S, + const float * U, + int ldu, + const float * V, + int ldv, + int * lwork, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvdjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + const double * A, + int lda, + const double * S, + const double * U, + int ldu, + const double * V, + int ldv, + int * lwork, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvdjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + const cuComplex * A, + int lda, + const float * S, + const cuComplex * U, + int ldu, + const cuComplex * V, + int ldv, + int * lwork, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvdjBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + const cuDoubleComplex *A, + int lda, + const double * S, + const cuDoubleComplex *U, + int ldu, + const cuDoubleComplex *V, + int ldv, + int * lwork, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvdjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + float * A, + int lda, + float * S, + float * U, + int ldu, + float * V, + int ldv, + float * work, + int lwork, + int * info, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvdjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + double * A, + int lda, + double * S, + double * U, + int ldu, + double * V, + int ldv, + double * work, + int lwork, + int * info, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvdjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + cuComplex * A, + int lda, + float * S, + cuComplex * U, + int ldu, + cuComplex * V, + int ldv, + cuComplex * work, + int lwork, + int * info, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvdjBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int m, + int n, + cuDoubleComplex * A, + int lda, + double * S, + cuDoubleComplex * U, + int ldu, + cuDoubleComplex * V, + int ldv, + cuDoubleComplex * work, + int lwork, + int * info, + gesvdjInfo_t params, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvdj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + const float * A, + int lda, + const float * S, + const float * U, + int ldu, + const float * V, + int ldv, + int * lwork, + gesvdjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvdj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + const double * A, + int lda, + const double * S, + const double * U, + int ldu, + const double * V, + int ldv, + int * lwork, + gesvdjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvdj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + const cuComplex * A, + int lda, + const float * S, + const cuComplex * U, + int ldu, + const cuComplex * V, + int ldv, + int * lwork, + gesvdjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvdj_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + const cuDoubleComplex *A, + int lda, + const double * S, + const cuDoubleComplex *U, + int ldu, + const cuDoubleComplex *V, + int ldv, + int * lwork, + gesvdjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvdj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + float * A, + int lda, + float * S, + float * U, + int ldu, + float * V, + int ldv, + float * work, + int lwork, + int * info, + gesvdjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvdj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + double * A, + int lda, + double * S, + double * U, + int ldu, + double * V, + int ldv, + double * work, + int lwork, + int * info, + gesvdjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvdj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + cuComplex * A, + int lda, + float * S, + cuComplex * U, + int ldu, + cuComplex * V, + int ldv, + cuComplex * work, + int lwork, + int * info, + gesvdjInfo_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvdj( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int econ, + int m, + int n, + cuDoubleComplex * A, + int lda, + double * S, + cuDoubleComplex * U, + int ldu, + cuDoubleComplex * V, + int ldv, + cuDoubleComplex * work, + int lwork, + int * info, + gesvdjInfo_t params); + + /* batched approximate SVD */ + + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvdaStridedBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const float * d_A, + int lda, + long long int strideA, + const float * d_S, + long long int strideS, + const float * d_U, + int ldu, + long long int strideU, + const float * d_V, + int ldv, + long long int strideV, + int * lwork, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvdaStridedBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const double * d_A, + int lda, + long long int strideA, + const double * d_S, + long long int strideS, + const double * d_U, + int ldu, + long long int strideU, + const double * d_V, + int ldv, + long long int strideV, + int * lwork, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvdaStridedBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const cuComplex * d_A, + int lda, + long long int strideA, + const float * d_S, + long long int strideS, + const cuComplex * d_U, + int ldu, + long long int strideU, + const cuComplex * d_V, + int ldv, + long long int strideV, + int * lwork, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvdaStridedBatched_bufferSize( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const cuDoubleComplex *d_A, + int lda, + long long int strideA, + const double * d_S, + long long int strideS, + const cuDoubleComplex *d_U, + int ldu, + long long int strideU, + const cuDoubleComplex *d_V, + int ldv, + long long int strideV, + int * lwork, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnSgesvdaStridedBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const float * d_A, + int lda, + long long int strideA, + float * d_S, + long long int strideS, + float * d_U, + int ldu, + long long int strideU, + float * d_V, + int ldv, + long long int strideV, + float * d_work, + int lwork, + int * d_info, + double * h_R_nrmF, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnDgesvdaStridedBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const double * d_A, + int lda, + long long int strideA, + double * d_S, + long long int strideS, + double * d_U, + int ldu, + long long int strideU, + double * d_V, + int ldv, + long long int strideV, + double * d_work, + int lwork, + int * d_info, + double * h_R_nrmF, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnCgesvdaStridedBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const cuComplex * d_A, + int lda, + long long int strideA, + float * d_S, + long long int strideS, + cuComplex * d_U, + int ldu, + long long int strideU, + cuComplex * d_V, + int ldv, + long long int strideV, + cuComplex * d_work, + int lwork, + int * d_info, + double * h_R_nrmF, + int batchSize); + + cusolverStatus_t CUSOLVERAPI cusolverDnZgesvdaStridedBatched( + cusolverDnHandle_t handle, + cusolverEigMode_t jobz, + int rank, + int m, + int n, + const cuDoubleComplex *d_A, + int lda, + long long int strideA, + double * d_S, + long long int strideS, + cuDoubleComplex * d_U, + int ldu, + long long int strideU, + cuDoubleComplex * d_V, + int ldv, + long long int strideV, + cuDoubleComplex * d_work, + int lwork, + int * d_info, + double * h_R_nrmF, + int batchSize); + + cusolverStatus_t CUSOLVERAPI + cusolverDnCreateParams(cusolverDnParams_t *params); + + cusolverStatus_t CUSOLVERAPI + cusolverDnDestroyParams(cusolverDnParams_t params); + + cusolverStatus_t CUSOLVERAPI cusolverDnSetAdvOptions( + cusolverDnParams_t params, + cusolverDnFunction_t function, + cusolverAlgMode_t algo); + + /* 64-bit API for POTRF */ + CUSOLVER_DEPRECATED(cusolverDnXpotrf_bufferSize) + cusolverStatus_t CUSOLVERAPI cusolverDnPotrf_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType computeType, + size_t * workspaceInBytes); + + CUSOLVER_DEPRECATED(cusolverDnXpotrf) + cusolverStatus_t CUSOLVERAPI cusolverDnPotrf( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType computeType, + void * pBuffer, + size_t workspaceInBytes, + int * info); + + /* 64-bit API for POTRS */ + CUSOLVER_DEPRECATED(cusolverDnXpotrs) + cusolverStatus_t CUSOLVERAPI cusolverDnPotrs( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasFillMode_t uplo, + int64_t n, + int64_t nrhs, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeB, + void * B, + int64_t ldb, + int * info); + + /* 64-bit API for GEQRF */ + CUSOLVER_DEPRECATED(cusolverDnXgeqrf_bufferSize) + cusolverStatus_t CUSOLVERAPI cusolverDnGeqrf_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeTau, + const void * tau, + cudaDataType computeType, + size_t * workspaceInBytes); + + CUSOLVER_DEPRECATED(cusolverDnXgeqrf) + cusolverStatus_t CUSOLVERAPI cusolverDnGeqrf( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeTau, + void * tau, + cudaDataType computeType, + void * pBuffer, + size_t workspaceInBytes, + int * info); + + /* 64-bit API for GETRF */ + CUSOLVER_DEPRECATED(cusolverDnXgetrf_bufferSize) + cusolverStatus_t CUSOLVERAPI cusolverDnGetrf_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType computeType, + size_t * workspaceInBytes); + + CUSOLVER_DEPRECATED(cusolverDnXgetrf) + cusolverStatus_t CUSOLVERAPI cusolverDnGetrf( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + int64_t * ipiv, + cudaDataType computeType, + void * pBuffer, + size_t workspaceInBytes, + int * info); + + /* 64-bit API for GETRS */ + CUSOLVER_DEPRECATED(cusolverDnXgetrs) + cusolverStatus_t CUSOLVERAPI cusolverDnGetrs( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasOperation_t trans, + int64_t n, + int64_t nrhs, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + const int64_t * ipiv, + cudaDataType dataTypeB, + void * B, + int64_t ldb, + int * info); + + /* 64-bit API for SYEVD */ + CUSOLVER_DEPRECATED(cusolverDnXsyevd_bufferSize) + cusolverStatus_t CUSOLVERAPI cusolverDnSyevd_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeW, + const void * W, + cudaDataType computeType, + size_t * workspaceInBytes); + + CUSOLVER_DEPRECATED(cusolverDnXsyevd) + cusolverStatus_t CUSOLVERAPI cusolverDnSyevd( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeW, + void * W, + cudaDataType computeType, + void * pBuffer, + size_t workspaceInBytes, + int * info); + + /* 64-bit API for SYEVDX */ + CUSOLVER_DEPRECATED(cusolverDnXsyevdx_bufferSize) + cusolverStatus_t CUSOLVERAPI cusolverDnSyevdx_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + void * vl, + void * vu, + int64_t il, + int64_t iu, + int64_t * h_meig, + cudaDataType dataTypeW, + const void * W, + cudaDataType computeType, + size_t * workspaceInBytes); + + CUSOLVER_DEPRECATED(cusolverDnXsyevdx) + cusolverStatus_t CUSOLVERAPI cusolverDnSyevdx( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + void * vl, + void * vu, + int64_t il, + int64_t iu, + int64_t * meig64, + cudaDataType dataTypeW, + void * W, + cudaDataType computeType, + void * pBuffer, + size_t workspaceInBytes, + int * info); + + /* 64-bit API for GESVD */ + CUSOLVER_DEPRECATED(cusolverDnXgesvd_bufferSize) + cusolverStatus_t CUSOLVERAPI cusolverDnGesvd_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + signed char jobu, + signed char jobvt, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeS, + const void * S, + cudaDataType dataTypeU, + const void * U, + int64_t ldu, + cudaDataType dataTypeVT, + const void * VT, + int64_t ldvt, + cudaDataType computeType, + size_t * workspaceInBytes); + + CUSOLVER_DEPRECATED(cusolverDnXgesvd) + cusolverStatus_t CUSOLVERAPI cusolverDnGesvd( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + signed char jobu, + signed char jobvt, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeS, + void * S, + cudaDataType dataTypeU, + void * U, + int64_t ldu, + cudaDataType dataTypeVT, + void * VT, + int64_t ldvt, + cudaDataType computeType, + void * pBuffer, + size_t workspaceInBytes, + int * info); + + /* + * new 64-bit API + */ + /* 64-bit API for POTRF */ + cusolverStatus_t CUSOLVERAPI cusolverDnXpotrf_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXpotrf( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * info); + + /* 64-bit API for POTRS */ + cusolverStatus_t CUSOLVERAPI cusolverDnXpotrs( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasFillMode_t uplo, + int64_t n, + int64_t nrhs, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeB, + void * B, + int64_t ldb, + int * info); + + /* 64-bit API for GEQRF */ + cusolverStatus_t CUSOLVERAPI cusolverDnXgeqrf_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeTau, + const void * tau, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgeqrf( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeTau, + void * tau, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * info); + + /* 64-bit API for GETRF */ + cusolverStatus_t CUSOLVERAPI cusolverDnXgetrf_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgetrf( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + int64_t * ipiv, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * info); + + /* 64-bit API for GETRS */ + cusolverStatus_t CUSOLVERAPI cusolverDnXgetrs( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cublasOperation_t trans, + int64_t n, + int64_t nrhs, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + const int64_t * ipiv, + cudaDataType dataTypeB, + void * B, + int64_t ldb, + int * info); + + /* 64-bit API for SYEVD */ + cusolverStatus_t CUSOLVERAPI cusolverDnXsyevd_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeW, + const void * W, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXsyevd( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeW, + void * W, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * info); + + /* 64-bit API for SYEVDX */ + cusolverStatus_t CUSOLVERAPI cusolverDnXsyevdx_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + void * vl, + void * vu, + int64_t il, + int64_t iu, + int64_t * h_meig, + cudaDataType dataTypeW, + const void * W, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXsyevdx( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + cusolverEigRange_t range, + cublasFillMode_t uplo, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + void * vl, + void * vu, + int64_t il, + int64_t iu, + int64_t * meig64, + cudaDataType dataTypeW, + void * W, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * info); + + /* 64-bit API for GESVD */ + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvd_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + signed char jobu, + signed char jobvt, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeS, + const void * S, + cudaDataType dataTypeU, + const void * U, + int64_t ldu, + cudaDataType dataTypeVT, + const void * VT, + int64_t ldvt, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvd( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + signed char jobu, + signed char jobvt, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeS, + void * S, + cudaDataType dataTypeU, + void * U, + int64_t ldu, + cudaDataType dataTypeVT, + void * VT, + int64_t ldvt, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * info); + + /* 64-bit API for GESVDP */ + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvdp_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + int econ, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeS, + const void * S, + cudaDataType dataTypeU, + const void * U, + int64_t ldu, + cudaDataType dataTypeV, + const void * V, + int64_t ldv, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvdp( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + cusolverEigMode_t jobz, + int econ, + int64_t m, + int64_t n, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeS, + void * S, + cudaDataType dataTypeU, + void * U, + int64_t ldu, + cudaDataType dataTypeV, + void * V, + int64_t ldv, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * d_info, + double * h_err_sigma); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvdr_bufferSize( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + signed char jobu, + signed char jobv, + int64_t m, + int64_t n, + int64_t k, + int64_t p, + int64_t niters, + cudaDataType dataTypeA, + const void * A, + int64_t lda, + cudaDataType dataTypeSrand, + const void * Srand, + cudaDataType dataTypeUrand, + const void * Urand, + int64_t ldUrand, + cudaDataType dataTypeVrand, + const void * Vrand, + int64_t ldVrand, + cudaDataType computeType, + size_t * workspaceInBytesOnDevice, + size_t * workspaceInBytesOnHost); + + cusolverStatus_t CUSOLVERAPI cusolverDnXgesvdr( + cusolverDnHandle_t handle, + cusolverDnParams_t params, + signed char jobu, + signed char jobv, + int64_t m, + int64_t n, + int64_t k, + int64_t p, + int64_t niters, + cudaDataType dataTypeA, + void * A, + int64_t lda, + cudaDataType dataTypeSrand, + void * Srand, + cudaDataType dataTypeUrand, + void * Urand, + int64_t ldUrand, + cudaDataType dataTypeVrand, + void * Vrand, + int64_t ldVrand, + cudaDataType computeType, + void * bufferOnDevice, + size_t workspaceInBytesOnDevice, + void * bufferOnHost, + size_t workspaceInBytesOnHost, + int * d_info); + + typedef void (*cusolverDnLoggerCallback_t)( + int logLevel, + const char *functionName, + const char *message); + + cusolverStatus_t CUSOLVERAPI + cusolverDnLoggerSetCallback(cusolverDnLoggerCallback_t callback); + + cusolverStatus_t CUSOLVERAPI cusolverDnLoggerSetFile(FILE *file); + + cusolverStatus_t CUSOLVERAPI cusolverDnLoggerOpenFile(const char *logFile); + + cusolverStatus_t CUSOLVERAPI cusolverDnLoggerSetLevel(int level); + + cusolverStatus_t CUSOLVERAPI cusolverDnLoggerSetMask(int mask); + + cusolverStatus_t CUSOLVERAPI cusolverDnLoggerForceDisable(); + + #if defined(__cplusplus) +} + #endif /* __cplusplus */ + +#endif /* !defined(CUDENSE_H_) */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverMg.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverMg.h new file mode 100644 index 0000000000000000000000000000000000000000..7702191f7253d66cf998016f6ae9f14149fbbb0b --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverMg.h @@ -0,0 +1,318 @@ +/* + * Copyright 2019 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#if !defined(CUSOLVERMG_H_) + #define CUSOLVERMG_H_ + + #include + #include "cusolverDn.h" + + #if defined(__cplusplus) +extern "C" { + #endif /* __cplusplus */ + + struct cusolverMgContext; + typedef struct cusolverMgContext *cusolverMgHandle_t; + + /** + * \beief This enum decides how 1D device Ids (or process ranks) get mapped to + * a 2D grid. + */ + typedef enum { + + CUDALIBMG_GRID_MAPPING_ROW_MAJOR = 1, + CUDALIBMG_GRID_MAPPING_COL_MAJOR = 0 + + } cusolverMgGridMapping_t; + + /** \brief Opaque structure of the distributed grid */ + typedef void *cudaLibMgGrid_t; + /** \brief Opaque structure of the distributed matrix descriptor */ + typedef void *cudaLibMgMatrixDesc_t; + + cusolverStatus_t CUSOLVERAPI cusolverMgCreate(cusolverMgHandle_t *handle); + + cusolverStatus_t CUSOLVERAPI cusolverMgDestroy(cusolverMgHandle_t handle); + + cusolverStatus_t CUSOLVERAPI cusolverMgDeviceSelect( + cusolverMgHandle_t handle, + int nbDevices, + int deviceId[]); + + /** + * \brief Allocates resources related to the shared memory device grid. + * \param[out] grid the opaque data strcuture that holds the grid + * \param[in] numRowDevices number of devices in the row + * \param[in] numColDevices number of devices in the column + * \param[in] deviceId This array of size height * width stores the + * device-ids of the 2D grid; each entry must correspond to a valid + * gpu or to -1 (denoting CPU). \param[in] mapping whether the 2D grid is in + * row/column major \returns the status code + */ + cusolverStatus_t CUSOLVERAPI cusolverMgCreateDeviceGrid( + cudaLibMgGrid_t * grid, + int32_t numRowDevices, + int32_t numColDevices, + const int32_t deviceId[], + cusolverMgGridMapping_t mapping); + + /** + * \brief Releases the allocated resources related to the distributed grid. + * \param[in] grid the opaque data strcuture that holds the distributed grid + * \returns the status code + */ + cusolverStatus_t CUSOLVERAPI cusolverMgDestroyGrid(cudaLibMgGrid_t grid); + + /** + * \brief Allocates resources related to the distributed matrix descriptor. + * \param[out] desc the opaque data strcuture that holds the descriptor + * \param[in] numRows number of total rows + * \param[in] numCols number of total columns + * \param[in] rowBlockSize row block size + * \param[in] colBlockSize column block size + * \param[in] dataType the data type of each element in cudaDataType + * \param[in] grid the opaque data structure of the distributed grid + * \returns the status code + */ + cusolverStatus_t CUSOLVERAPI cusolverMgCreateMatrixDesc( + cudaLibMgMatrixDesc_t *desc, + int64_t numRows, + int64_t numCols, + int64_t rowBlockSize, + int64_t colBlockSize, + cudaDataType dataType, + const cudaLibMgGrid_t grid); + + /** + * \brief Releases the allocated resources related to the distributed matrix + * descriptor. \param[in] desc the opaque data strcuture that holds the + * descriptor \returns the status code + */ + cusolverStatus_t CUSOLVERAPI + cusolverMgDestroyMatrixDesc(cudaLibMgMatrixDesc_t desc); + + cusolverStatus_t CUSOLVERAPI cusolverMgSyevd_bufferSize( + cusolverMgHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + void * W, + cudaDataType dataTypeW, + cudaDataType computeType, + int64_t * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverMgSyevd( + cusolverMgHandle_t handle, + cusolverEigMode_t jobz, + cublasFillMode_t uplo, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + void * W, + cudaDataType dataTypeW, + cudaDataType computeType, + void * array_d_work[], + int64_t lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverMgGetrf_bufferSize( + cusolverMgHandle_t handle, + int M, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + int * array_d_IPIV[], + cudaDataType computeType, + int64_t * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverMgGetrf( + cusolverMgHandle_t handle, + int M, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + int * array_d_IPIV[], + cudaDataType computeType, + void * array_d_work[], + int64_t lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverMgGetrs_bufferSize( + cusolverMgHandle_t handle, + cublasOperation_t TRANS, + int N, + int NRHS, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + int * array_d_IPIV[], + void * array_d_B[], + int IB, + int JB, + cudaLibMgMatrixDesc_t descrB, + cudaDataType computeType, + int64_t * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverMgGetrs( + cusolverMgHandle_t handle, + cublasOperation_t TRANS, + int N, + int NRHS, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + int * array_d_IPIV[], + void * array_d_B[], + int IB, + int JB, + cudaLibMgMatrixDesc_t descrB, + cudaDataType computeType, + void * array_d_work[], + int64_t lwork, + int * info); + + cusolverStatus_t CUSOLVERAPI cusolverMgPotrf_bufferSize( + cusolverMgHandle_t handle, + cublasFillMode_t uplo, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + cudaDataType computeType, + int64_t * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverMgPotrf( + cusolverMgHandle_t handle, + cublasFillMode_t uplo, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + cudaDataType computeType, + void * array_d_work[], + int64_t lwork, + int * h_info); + + cusolverStatus_t CUSOLVERAPI cusolverMgPotrs_bufferSize( + cusolverMgHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + void * array_d_B[], + int IB, + int JB, + cudaLibMgMatrixDesc_t descrB, + cudaDataType computeType, + int64_t * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverMgPotrs( + cusolverMgHandle_t handle, + cublasFillMode_t uplo, + int n, + int nrhs, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + void * array_d_B[], + int IB, + int JB, + cudaLibMgMatrixDesc_t descrB, + cudaDataType computeType, + void * array_d_work[], + int64_t lwork, + int * h_info); + + cusolverStatus_t CUSOLVERAPI cusolverMgPotri_bufferSize( + cusolverMgHandle_t handle, + cublasFillMode_t uplo, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + cudaDataType computeType, + int64_t * lwork); + + cusolverStatus_t CUSOLVERAPI cusolverMgPotri( + cusolverMgHandle_t handle, + cublasFillMode_t uplo, + int N, + void * array_d_A[], + int IA, + int JA, + cudaLibMgMatrixDesc_t descrA, + cudaDataType computeType, + void * array_d_work[], + int64_t lwork, + int * h_info); + + #if defined(__cplusplus) +} + #endif /* __cplusplus */ + +#endif // CUSOLVERMG_H_ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverRf.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverRf.h new file mode 100644 index 0000000000000000000000000000000000000000..c74e9ca6bb34a8d1214c10450c45e2599417636f --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverRf.h @@ -0,0 +1,339 @@ +/* + * Copyright 1993-2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#if !defined(CUSOLVERRF_H_) + #define CUSOLVERRF_H_ + + #include "driver_types.h" + #include "cuComplex.h" + #include "cusolver_common.h" + + #if defined(__cplusplus) +extern "C" { + #endif /* __cplusplus */ + + /* CUSOLVERRF mode */ + typedef enum { + CUSOLVERRF_RESET_VALUES_FAST_MODE_OFF = 0, // default + CUSOLVERRF_RESET_VALUES_FAST_MODE_ON = 1 + } cusolverRfResetValuesFastMode_t; + + /* CUSOLVERRF matrix format */ + typedef enum { + CUSOLVERRF_MATRIX_FORMAT_CSR = 0, // default + CUSOLVERRF_MATRIX_FORMAT_CSC = 1 + } cusolverRfMatrixFormat_t; + + /* CUSOLVERRF unit diagonal */ + typedef enum { + CUSOLVERRF_UNIT_DIAGONAL_STORED_L = 0, // default + CUSOLVERRF_UNIT_DIAGONAL_STORED_U = 1, + CUSOLVERRF_UNIT_DIAGONAL_ASSUMED_L = 2, + CUSOLVERRF_UNIT_DIAGONAL_ASSUMED_U = 3 + } cusolverRfUnitDiagonal_t; + + /* CUSOLVERRF factorization algorithm */ + typedef enum { + CUSOLVERRF_FACTORIZATION_ALG0 = 0, // default + CUSOLVERRF_FACTORIZATION_ALG1 = 1, + CUSOLVERRF_FACTORIZATION_ALG2 = 2, + } cusolverRfFactorization_t; + + /* CUSOLVERRF triangular solve algorithm */ + typedef enum { + CUSOLVERRF_TRIANGULAR_SOLVE_ALG1 = 1, // default + CUSOLVERRF_TRIANGULAR_SOLVE_ALG2 = 2, + CUSOLVERRF_TRIANGULAR_SOLVE_ALG3 = 3 + } cusolverRfTriangularSolve_t; + + /* CUSOLVERRF numeric boost report */ + typedef enum { + CUSOLVERRF_NUMERIC_BOOST_NOT_USED = 0, // default + CUSOLVERRF_NUMERIC_BOOST_USED = 1 + } cusolverRfNumericBoostReport_t; + + /* Opaque structure holding CUSOLVERRF library common */ + struct cusolverRfCommon; + typedef struct cusolverRfCommon* cusolverRfHandle_t; + + /* CUSOLVERRF create (allocate memory) and destroy (free memory) in the handle + */ + cusolverStatus_t CUSOLVERAPI cusolverRfCreate(cusolverRfHandle_t* handle); + cusolverStatus_t CUSOLVERAPI cusolverRfDestroy(cusolverRfHandle_t handle); + + /* CUSOLVERRF set and get input format */ + cusolverStatus_t CUSOLVERAPI cusolverRfGetMatrixFormat( + cusolverRfHandle_t handle, + cusolverRfMatrixFormat_t* format, + cusolverRfUnitDiagonal_t* diag); + + cusolverStatus_t CUSOLVERAPI cusolverRfSetMatrixFormat( + cusolverRfHandle_t handle, + cusolverRfMatrixFormat_t format, + cusolverRfUnitDiagonal_t diag); + + /* CUSOLVERRF set and get numeric properties */ + cusolverStatus_t CUSOLVERAPI cusolverRfSetNumericProperties( + cusolverRfHandle_t handle, + double zero, + double boost); + + cusolverStatus_t CUSOLVERAPI cusolverRfGetNumericProperties( + cusolverRfHandle_t handle, + double* zero, + double* boost); + + cusolverStatus_t CUSOLVERAPI cusolverRfGetNumericBoostReport( + cusolverRfHandle_t handle, + cusolverRfNumericBoostReport_t* report); + + /* CUSOLVERRF choose the triangular solve algorithm */ + cusolverStatus_t CUSOLVERAPI cusolverRfSetAlgs( + cusolverRfHandle_t handle, + cusolverRfFactorization_t factAlg, + cusolverRfTriangularSolve_t solveAlg); + + cusolverStatus_t CUSOLVERAPI cusolverRfGetAlgs( + cusolverRfHandle_t handle, + cusolverRfFactorization_t* factAlg, + cusolverRfTriangularSolve_t* solveAlg); + + /* CUSOLVERRF set and get fast mode */ + cusolverStatus_t CUSOLVERAPI cusolverRfGetResetValuesFastMode( + cusolverRfHandle_t handle, + cusolverRfResetValuesFastMode_t* fastMode); + + cusolverStatus_t CUSOLVERAPI cusolverRfSetResetValuesFastMode( + cusolverRfHandle_t handle, + cusolverRfResetValuesFastMode_t fastMode); + + /*** Non-Batched Routines ***/ + /* CUSOLVERRF setup of internal structures from host or device memory */ + cusolverStatus_t CUSOLVERAPI + cusolverRfSetupHost(/* Input (in the host memory) */ + int n, + int nnzA, + int* h_csrRowPtrA, + int* h_csrColIndA, + double* h_csrValA, + int nnzL, + int* h_csrRowPtrL, + int* h_csrColIndL, + double* h_csrValL, + int nnzU, + int* h_csrRowPtrU, + int* h_csrColIndU, + double* h_csrValU, + int* h_P, + int* h_Q, + /* Output */ + cusolverRfHandle_t handle); + + cusolverStatus_t CUSOLVERAPI + cusolverRfSetupDevice(/* Input (in the device memory) */ + int n, + int nnzA, + int* csrRowPtrA, + int* csrColIndA, + double* csrValA, + int nnzL, + int* csrRowPtrL, + int* csrColIndL, + double* csrValL, + int nnzU, + int* csrRowPtrU, + int* csrColIndU, + double* csrValU, + int* P, + int* Q, + /* Output */ + cusolverRfHandle_t handle); + + /* CUSOLVERRF update the matrix values (assuming the reordering, pivoting + and consequently the sparsity pattern of L and U did not change), + and zero out the remaining values. */ + cusolverStatus_t CUSOLVERAPI + cusolverRfResetValues(/* Input (in the device memory) */ + int n, + int nnzA, + int* csrRowPtrA, + int* csrColIndA, + double* csrValA, + int* P, + int* Q, + /* Output */ + cusolverRfHandle_t handle); + + /* CUSOLVERRF analysis (for parallelism) */ + cusolverStatus_t CUSOLVERAPI cusolverRfAnalyze(cusolverRfHandle_t handle); + + /* CUSOLVERRF re-factorization (for parallelism) */ + cusolverStatus_t CUSOLVERAPI cusolverRfRefactor(cusolverRfHandle_t handle); + + /* CUSOLVERRF extraction: Get L & U packed into a single matrix M */ + cusolverStatus_t CUSOLVERAPI + cusolverRfAccessBundledFactorsDevice(/* Input */ + cusolverRfHandle_t handle, + /* Output (in the host memory) */ + int* nnzM, + /* Output (in the device memory) */ + int** Mp, + int** Mi, + double** Mx); + + cusolverStatus_t CUSOLVERAPI + cusolverRfExtractBundledFactorsHost(/* Input */ + cusolverRfHandle_t handle, + /* Output (in the host memory) */ + int* h_nnzM, + int** h_Mp, + int** h_Mi, + double** h_Mx); + + /* CUSOLVERRF extraction: Get L & U individually */ + cusolverStatus_t CUSOLVERAPI + cusolverRfExtractSplitFactorsHost(/* Input */ + cusolverRfHandle_t handle, + /* Output (in the host memory) */ + int* h_nnzL, + int** h_csrRowPtrL, + int** h_csrColIndL, + double** h_csrValL, + int* h_nnzU, + int** h_csrRowPtrU, + int** h_csrColIndU, + double** h_csrValU); + + /* CUSOLVERRF (forward and backward triangular) solves */ + cusolverStatus_t CUSOLVERAPI + cusolverRfSolve(/* Input (in the device memory) */ + cusolverRfHandle_t handle, + int* P, + int* Q, + int nrhs, // only nrhs=1 is supported + double* Temp, // of size ldt*nrhs (ldt>=n) + int ldt, + /* Input/Output (in the device memory) */ + double* XF, + /* Input */ + int ldxf); + + /*** Batched Routines ***/ + /* CUSOLVERRF-batch setup of internal structures from host */ + cusolverStatus_t CUSOLVERAPI + cusolverRfBatchSetupHost(/* Input (in the host memory)*/ + int batchSize, + int n, + int nnzA, + int* h_csrRowPtrA, + int* h_csrColIndA, + double* h_csrValA_array[], + int nnzL, + int* h_csrRowPtrL, + int* h_csrColIndL, + double* h_csrValL, + int nnzU, + int* h_csrRowPtrU, + int* h_csrColIndU, + double* h_csrValU, + int* h_P, + int* h_Q, + /* Output (in the device memory) */ + cusolverRfHandle_t handle); + + /* CUSOLVERRF-batch update the matrix values (assuming the reordering, + pivoting and consequently the sparsity pattern of L and U did not change), + and zero out the remaining values. */ + cusolverStatus_t CUSOLVERAPI + cusolverRfBatchResetValues(/* Input (in the device memory) */ + int batchSize, + int n, + int nnzA, + int* csrRowPtrA, + int* csrColIndA, + double* csrValA_array[], + int* P, + int* Q, + /* Output */ + cusolverRfHandle_t handle); + + /* CUSOLVERRF-batch analysis (for parallelism) */ + cusolverStatus_t CUSOLVERAPI + cusolverRfBatchAnalyze(cusolverRfHandle_t handle); + + /* CUSOLVERRF-batch re-factorization (for parallelism) */ + cusolverStatus_t CUSOLVERAPI + cusolverRfBatchRefactor(cusolverRfHandle_t handle); + + /* CUSOLVERRF-batch (forward and backward triangular) solves */ + cusolverStatus_t CUSOLVERAPI + cusolverRfBatchSolve(/* Input (in the device memory) */ + cusolverRfHandle_t handle, + int* P, + int* Q, + int nrhs, // only nrhs=1 is supported + double* Temp, // of size 2*batchSize*(n*nrhs) + int ldt, // only ldt=n is supported + /* Input/Output (in the device memory) */ + double* XF_array[], + /* Input */ + int ldxf); + + /* CUSOLVERRF-batch obtain the position of zero pivot */ + cusolverStatus_t CUSOLVERAPI + cusolverRfBatchZeroPivot(/* Input */ + cusolverRfHandle_t handle, + /* Output (in the host memory) */ + int* position); + + #if defined(__cplusplus) +} + #endif /* __cplusplus */ + +#endif /* CUSOLVERRF_H_ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverSp.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverSp.h new file mode 100644 index 0000000000000000000000000000000000000000..a00a2fac14664090a116bae89fe34f97d8e41f9c --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverSp.h @@ -0,0 +1,923 @@ +/* + * Copyright 2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#if !defined(CUSOLVERSP_H_) + #define CUSOLVERSP_H_ + + #include "cusparse.h" + #include "cublas_v2.h" + #include "cusolver_common.h" + + #if defined(__cplusplus) +extern "C" { + #endif /* __cplusplus */ + + struct cusolverSpContext; + typedef struct cusolverSpContext *cusolverSpHandle_t; + + struct csrqrInfo; + typedef struct csrqrInfo *csrqrInfo_t; + + cusolverStatus_t CUSOLVERAPI cusolverSpCreate(cusolverSpHandle_t *handle); + cusolverStatus_t CUSOLVERAPI cusolverSpDestroy(cusolverSpHandle_t handle); + cusolverStatus_t CUSOLVERAPI + cusolverSpSetStream(cusolverSpHandle_t handle, cudaStream_t streamId); + cusolverStatus_t CUSOLVERAPI + cusolverSpGetStream(cusolverSpHandle_t handle, cudaStream_t *streamId); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrissymHost( + cusolverSpHandle_t handle, + int m, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrEndPtrA, + const int * csrColIndA, + int * issym); + + /* -------- GPU linear solver by LU factorization + * solve A*x = b, A can be singular + * [ls] stands for linear solve + * [v] stands for vector + * [lu] stands for LU factorization + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrlsvluHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const float * b, + float tol, + int reorder, + float * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrlsvluHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const double * b, + double tol, + int reorder, + double * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrlsvluHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuComplex * b, + float tol, + int reorder, + cuComplex * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrlsvluHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuDoubleComplex * b, + double tol, + int reorder, + cuDoubleComplex * x, + int * singularity); + + /* -------- GPU linear solver by QR factorization + * solve A*x = b, A can be singular + * [ls] stands for linear solve + * [v] stands for vector + * [qr] stands for QR factorization + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrlsvqr( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const float * b, + float tol, + int reorder, + float * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrlsvqr( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const double * b, + double tol, + int reorder, + double * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrlsvqr( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const cuComplex * b, + float tol, + int reorder, + cuComplex * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrlsvqr( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const cuDoubleComplex * b, + double tol, + int reorder, + cuDoubleComplex * x, + int * singularity); + + /* -------- CPU linear solver by QR factorization + * solve A*x = b, A can be singular + * [ls] stands for linear solve + * [v] stands for vector + * [qr] stands for QR factorization + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrlsvqrHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const float * b, + float tol, + int reorder, + float * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrlsvqrHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const double * b, + double tol, + int reorder, + double * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrlsvqrHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuComplex * b, + float tol, + int reorder, + cuComplex * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrlsvqrHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuDoubleComplex * b, + double tol, + int reorder, + cuDoubleComplex * x, + int * singularity); + + /* -------- CPU linear solver by Cholesky factorization + * solve A*x = b, A can be singular + * [ls] stands for linear solve + * [v] stands for vector + * [chol] stands for Cholesky factorization + * + * Only works for symmetric positive definite matrix. + * The upper part of A is ignored. + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrlsvcholHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const float * b, + float tol, + int reorder, + float * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrlsvcholHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const double * b, + double tol, + int reorder, + double * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrlsvcholHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const cuComplex * b, + float tol, + int reorder, + cuComplex * x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrlsvcholHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const cuDoubleComplex * b, + double tol, + int reorder, + cuDoubleComplex * x, + int * singularity); + + /* -------- GPU linear solver by Cholesky factorization + * solve A*x = b, A can be singular + * [ls] stands for linear solve + * [v] stands for vector + * [chol] stands for Cholesky factorization + * + * Only works for symmetric positive definite matrix. + * The upper part of A is ignored. + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrlsvchol( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const float * b, + float tol, + int reorder, + // output + float *x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrlsvchol( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const double * b, + double tol, + int reorder, + // output + double *x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrlsvchol( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const cuComplex * b, + float tol, + int reorder, + // output + cuComplex *x, + int * singularity); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrlsvchol( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + const cuDoubleComplex * b, + double tol, + int reorder, + // output + cuDoubleComplex *x, + int * singularity); + + /* ----------- CPU least square solver by QR factorization + * solve min|b - A*x| + * [lsq] stands for least square + * [v] stands for vector + * [qr] stands for QR factorization + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrlsqvqrHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const float * b, + float tol, + int * rankA, + float * x, + int * p, + float * min_norm); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrlsqvqrHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const double * b, + double tol, + int * rankA, + double * x, + int * p, + double * min_norm); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrlsqvqrHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuComplex * b, + float tol, + int * rankA, + cuComplex * x, + int * p, + float * min_norm); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrlsqvqrHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuDoubleComplex * b, + double tol, + int * rankA, + cuDoubleComplex * x, + int * p, + double * min_norm); + + /* --------- CPU eigenvalue solver by shift inverse + * solve A*x = lambda * x + * where lambda is the eigenvalue nearest mu0. + * [eig] stands for eigenvalue solver + * [si] stands for shift-inverse + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsreigvsiHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + float mu0, + const float * x0, + int maxite, + float tol, + float * mu, + float * x); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsreigvsiHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + double mu0, + const double * x0, + int maxite, + double tol, + double * mu, + double * x); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsreigvsiHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuComplex mu0, + const cuComplex * x0, + int maxite, + float tol, + cuComplex * mu, + cuComplex * x); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsreigvsiHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuDoubleComplex mu0, + const cuDoubleComplex * x0, + int maxite, + double tol, + cuDoubleComplex * mu, + cuDoubleComplex * x); + + /* --------- GPU eigenvalue solver by shift inverse + * solve A*x = lambda * x + * where lambda is the eigenvalue nearest mu0. + * [eig] stands for eigenvalue solver + * [si] stands for shift-inverse + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsreigvsi( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + float mu0, + const float * x0, + int maxite, + float eps, + float * mu, + float * x); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsreigvsi( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + double mu0, + const double * x0, + int maxite, + double eps, + double * mu, + double * x); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsreigvsi( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuComplex mu0, + const cuComplex * x0, + int maxite, + float eps, + cuComplex * mu, + cuComplex * x); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsreigvsi( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuDoubleComplex mu0, + const cuDoubleComplex * x0, + int maxite, + double eps, + cuDoubleComplex * mu, + cuDoubleComplex * x); + + // ----------- enclosed eigenvalues + + cusolverStatus_t CUSOLVERAPI cusolverSpScsreigsHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuComplex left_bottom_corner, + cuComplex right_upper_corner, + int * num_eigs); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsreigsHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuDoubleComplex left_bottom_corner, + cuDoubleComplex right_upper_corner, + int * num_eigs); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsreigsHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuComplex left_bottom_corner, + cuComplex right_upper_corner, + int * num_eigs); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsreigsHost( + cusolverSpHandle_t handle, + int m, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuDoubleComplex left_bottom_corner, + cuDoubleComplex right_upper_corner, + int * num_eigs); + + /* --------- CPU symrcm + * Symmetric reverse Cuthill McKee permutation + * + */ + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrsymrcmHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + int * p); + + /* --------- CPU symmdq + * Symmetric minimum degree algorithm by quotient graph + * + */ + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrsymmdqHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + int * p); + + /* --------- CPU symmdq + * Symmetric Approximate minimum degree algorithm by quotient graph + * + */ + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrsymamdHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + int * p); + + /* --------- CPU metis + * symmetric reordering + */ + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrmetisndHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + const int64_t * options, + int * p); + + /* --------- CPU zfd + * Zero free diagonal reordering + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrzfdHost( + cusolverSpHandle_t handle, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + int * P, + int * numnz); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrzfdHost( + cusolverSpHandle_t handle, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + int * P, + int * numnz); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrzfdHost( + cusolverSpHandle_t handle, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + int * P, + int * numnz); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrzfdHost( + cusolverSpHandle_t handle, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + int * P, + int * numnz); + + /* --------- CPU permuation + * P*A*Q^T + * + */ + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrperm_bufferSizeHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + const int * p, + const int * q, + size_t * bufferSizeInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrpermHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + int * csrRowPtrA, + int * csrColIndA, + const int * p, + const int * q, + int * map, + void * pBuffer); + + /* + * Low-level API: Batched QR + * + */ + + cusolverStatus_t CUSOLVERAPI cusolverSpCreateCsrqrInfo(csrqrInfo_t *info); + + cusolverStatus_t CUSOLVERAPI cusolverSpDestroyCsrqrInfo(csrqrInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrqrAnalysisBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrBufferInfoBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrVal, + const int * csrRowPtr, + const int * csrColInd, + int batchSize, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrBufferInfoBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrVal, + const int * csrRowPtr, + const int * csrColInd, + int batchSize, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrBufferInfoBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + int batchSize, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrBufferInfoBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrVal, + const int * csrRowPtr, + const int * csrColInd, + int batchSize, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrsvBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const float * b, + float * x, + int batchSize, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrsvBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const double * b, + double * x, + int batchSize, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrsvBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuComplex * b, + cuComplex * x, + int batchSize, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrsvBatched( + cusolverSpHandle_t handle, + int m, + int n, + int nnz, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + const cuDoubleComplex * b, + cuDoubleComplex * x, + int batchSize, + csrqrInfo_t info, + void * pBuffer); + + #if defined(__cplusplus) +} + #endif /* __cplusplus */ + +#endif // define CUSOLVERSP_H_ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverSp_LOWLEVEL_PREVIEW.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverSp_LOWLEVEL_PREVIEW.h new file mode 100644 index 0000000000000000000000000000000000000000..e660bb87ea5d89cc1d430dce6c50df006d796809 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolverSp_LOWLEVEL_PREVIEW.h @@ -0,0 +1,1107 @@ +/* + * Copyright 2015 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#if !defined(CUSOLVERSP_LOWLEVEL_PREVIEW_H_) + #define CUSOLVERSP_LOWLEVEL_PREVIEW_H_ + + #include "cusolverSp.h" + + #if defined(__cplusplus) +extern "C" { + #endif /* __cplusplus */ + + struct csrluInfoHost; + typedef struct csrluInfoHost *csrluInfoHost_t; + + struct csrqrInfoHost; + typedef struct csrqrInfoHost *csrqrInfoHost_t; + + struct csrcholInfoHost; + typedef struct csrcholInfoHost *csrcholInfoHost_t; + + struct csrcholInfo; + typedef struct csrcholInfo *csrcholInfo_t; + + /* + * Low level API for CPU LU + * + */ + cusolverStatus_t CUSOLVERAPI + cusolverSpCreateCsrluInfoHost(csrluInfoHost_t *info); + + cusolverStatus_t CUSOLVERAPI + cusolverSpDestroyCsrluInfoHost(csrluInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrluAnalysisHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrluBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrluBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrluBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrluBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrluFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + float pivot_threshold, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrluFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + double pivot_threshold, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrluFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + float pivot_threshold, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrluFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrluInfoHost_t info, + double pivot_threshold, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrluZeroPivotHost( + cusolverSpHandle_t handle, + csrluInfoHost_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrluZeroPivotHost( + cusolverSpHandle_t handle, + csrluInfoHost_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrluZeroPivotHost( + cusolverSpHandle_t handle, + csrluInfoHost_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrluZeroPivotHost( + cusolverSpHandle_t handle, + csrluInfoHost_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrluSolveHost( + cusolverSpHandle_t handle, + int n, + const float * b, + float * x, + csrluInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrluSolveHost( + cusolverSpHandle_t handle, + int n, + const double * b, + double * x, + csrluInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrluSolveHost( + cusolverSpHandle_t handle, + int n, + const cuComplex * b, + cuComplex * x, + csrluInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrluSolveHost( + cusolverSpHandle_t handle, + int n, + const cuDoubleComplex *b, + cuDoubleComplex * x, + csrluInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrluNnzHost( + cusolverSpHandle_t handle, + int * nnzLRef, + int * nnzURef, + csrluInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrluExtractHost( + cusolverSpHandle_t handle, + int * P, + int * Q, + const cusparseMatDescr_t descrL, + float * csrValL, + int * csrRowPtrL, + int * csrColIndL, + const cusparseMatDescr_t descrU, + float * csrValU, + int * csrRowPtrU, + int * csrColIndU, + csrluInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrluExtractHost( + cusolverSpHandle_t handle, + int * P, + int * Q, + const cusparseMatDescr_t descrL, + double * csrValL, + int * csrRowPtrL, + int * csrColIndL, + const cusparseMatDescr_t descrU, + double * csrValU, + int * csrRowPtrU, + int * csrColIndU, + csrluInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrluExtractHost( + cusolverSpHandle_t handle, + int * P, + int * Q, + const cusparseMatDescr_t descrL, + cuComplex * csrValL, + int * csrRowPtrL, + int * csrColIndL, + const cusparseMatDescr_t descrU, + cuComplex * csrValU, + int * csrRowPtrU, + int * csrColIndU, + csrluInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrluExtractHost( + cusolverSpHandle_t handle, + int * P, + int * Q, + const cusparseMatDescr_t descrL, + cuDoubleComplex * csrValL, + int * csrRowPtrL, + int * csrColIndL, + const cusparseMatDescr_t descrU, + cuDoubleComplex * csrValU, + int * csrRowPtrU, + int * csrColIndU, + csrluInfoHost_t info, + void * pBuffer); + + /* + * Low level API for CPU QR + * + */ + cusolverStatus_t CUSOLVERAPI + cusolverSpCreateCsrqrInfoHost(csrqrInfoHost_t *info); + + cusolverStatus_t CUSOLVERAPI + cusolverSpDestroyCsrqrInfoHost(csrqrInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrqrAnalysisHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrBufferInfoHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrBufferInfoHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrBufferInfoHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrBufferInfoHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrSetupHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + float mu, + csrqrInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrSetupHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + double mu, + csrqrInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrSetupHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuComplex mu, + csrqrInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrSetupHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuDoubleComplex mu, + csrqrInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrFactorHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + float * b, + float * x, + csrqrInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrFactorHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + double * b, + double * x, + csrqrInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrFactorHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + cuComplex * b, + cuComplex * x, + csrqrInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrFactorHost( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + cuDoubleComplex * b, + cuDoubleComplex * x, + csrqrInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrZeroPivotHost( + cusolverSpHandle_t handle, + csrqrInfoHost_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrZeroPivotHost( + cusolverSpHandle_t handle, + csrqrInfoHost_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrZeroPivotHost( + cusolverSpHandle_t handle, + csrqrInfoHost_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrZeroPivotHost( + cusolverSpHandle_t handle, + csrqrInfoHost_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrSolveHost( + cusolverSpHandle_t handle, + int m, + int n, + float * b, + float * x, + csrqrInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrSolveHost( + cusolverSpHandle_t handle, + int m, + int n, + double * b, + double * x, + csrqrInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrSolveHost( + cusolverSpHandle_t handle, + int m, + int n, + cuComplex * b, + cuComplex * x, + csrqrInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrSolveHost( + cusolverSpHandle_t handle, + int m, + int n, + cuDoubleComplex * b, + cuDoubleComplex * x, + csrqrInfoHost_t info, + void * pBuffer); + + /* + * Low level API for GPU QR + * + */ + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrqrAnalysis( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrBufferInfo( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrBufferInfo( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrBufferInfo( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrBufferInfo( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrqrInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrSetup( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + float mu, + csrqrInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrSetup( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + double mu, + csrqrInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrSetup( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuComplex mu, + csrqrInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrSetup( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + cuDoubleComplex mu, + csrqrInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrFactor( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + float * b, + float * x, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrFactor( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + double * b, + double * x, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrFactor( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + cuComplex * b, + cuComplex * x, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrFactor( + cusolverSpHandle_t handle, + int m, + int n, + int nnzA, + cuDoubleComplex * b, + cuDoubleComplex * x, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrZeroPivot( + cusolverSpHandle_t handle, + csrqrInfo_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrZeroPivot( + cusolverSpHandle_t handle, + csrqrInfo_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrZeroPivot( + cusolverSpHandle_t handle, + csrqrInfo_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrZeroPivot( + cusolverSpHandle_t handle, + csrqrInfo_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrqrSolve( + cusolverSpHandle_t handle, + int m, + int n, + float * b, + float * x, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrqrSolve( + cusolverSpHandle_t handle, + int m, + int n, + double * b, + double * x, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrqrSolve( + cusolverSpHandle_t handle, + int m, + int n, + cuComplex * b, + cuComplex * x, + csrqrInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrqrSolve( + cusolverSpHandle_t handle, + int m, + int n, + cuDoubleComplex * b, + cuDoubleComplex * x, + csrqrInfo_t info, + void * pBuffer); + + /* + * Low level API for CPU Cholesky + * + */ + cusolverStatus_t CUSOLVERAPI + cusolverSpCreateCsrcholInfoHost(csrcholInfoHost_t *info); + + cusolverStatus_t CUSOLVERAPI + cusolverSpDestroyCsrcholInfoHost(csrcholInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrcholAnalysisHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholBufferInfoHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholFactorHost( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholZeroPivotHost( + cusolverSpHandle_t handle, + csrcholInfoHost_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholZeroPivotHost( + cusolverSpHandle_t handle, + csrcholInfoHost_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholZeroPivotHost( + cusolverSpHandle_t handle, + csrcholInfoHost_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholZeroPivotHost( + cusolverSpHandle_t handle, + csrcholInfoHost_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholSolveHost( + cusolverSpHandle_t handle, + int n, + const float * b, + float * x, + csrcholInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholSolveHost( + cusolverSpHandle_t handle, + int n, + const double * b, + double * x, + csrcholInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholSolveHost( + cusolverSpHandle_t handle, + int n, + const cuComplex * b, + cuComplex * x, + csrcholInfoHost_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholSolveHost( + cusolverSpHandle_t handle, + int n, + const cuDoubleComplex *b, + cuDoubleComplex * x, + csrcholInfoHost_t info, + void * pBuffer); + + /* + * Low level API for GPU Cholesky + * + */ + cusolverStatus_t CUSOLVERAPI cusolverSpCreateCsrcholInfo(csrcholInfo_t *info); + + cusolverStatus_t CUSOLVERAPI cusolverSpDestroyCsrcholInfo(csrcholInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpXcsrcholAnalysis( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholBufferInfo( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholBufferInfo( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholBufferInfo( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholBufferInfo( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + size_t * internalDataInBytes, + size_t * workspaceInBytes); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholFactor( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const float * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholFactor( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const double * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholFactor( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholFactor( + cusolverSpHandle_t handle, + int n, + int nnzA, + const cusparseMatDescr_t descrA, + const cuDoubleComplex * csrValA, + const int * csrRowPtrA, + const int * csrColIndA, + csrcholInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholZeroPivot( + cusolverSpHandle_t handle, + csrcholInfo_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholZeroPivot( + cusolverSpHandle_t handle, + csrcholInfo_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholZeroPivot( + cusolverSpHandle_t handle, + csrcholInfo_t info, + float tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholZeroPivot( + cusolverSpHandle_t handle, + csrcholInfo_t info, + double tol, + int * position); + + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholSolve( + cusolverSpHandle_t handle, + int n, + const float * b, + float * x, + csrcholInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholSolve( + cusolverSpHandle_t handle, + int n, + const double * b, + double * x, + csrcholInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholSolve( + cusolverSpHandle_t handle, + int n, + const cuComplex * b, + cuComplex * x, + csrcholInfo_t info, + void * pBuffer); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholSolve( + cusolverSpHandle_t handle, + int n, + const cuDoubleComplex *b, + cuDoubleComplex * x, + csrcholInfo_t info, + void * pBuffer); + + /* + * "diag" is a device array of size N. + * cusolverSpcsrcholDiag returns diag(L) to "diag" where A(P,P) = L*L**T + * "diag" can estimate det(A) because det(A(P,P)) = det(A) = det(L)^2 if A = + * L*L**T. + * + * cusolverSpcsrcholDiag must be called after cusolverSpcsrcholFactor. + * otherwise "diag" is wrong. + */ + cusolverStatus_t CUSOLVERAPI cusolverSpScsrcholDiag( + cusolverSpHandle_t handle, + csrcholInfo_t info, + float * diag); + + cusolverStatus_t CUSOLVERAPI cusolverSpDcsrcholDiag( + cusolverSpHandle_t handle, + csrcholInfo_t info, + double * diag); + + cusolverStatus_t CUSOLVERAPI cusolverSpCcsrcholDiag( + cusolverSpHandle_t handle, + csrcholInfo_t info, + float * diag); + + cusolverStatus_t CUSOLVERAPI cusolverSpZcsrcholDiag( + cusolverSpHandle_t handle, + csrcholInfo_t info, + double * diag); + + #if defined(__cplusplus) +} + #endif /* __cplusplus */ + +#endif // CUSOLVERSP_LOWLEVEL_PREVIEW_H_ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolver_common.h b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolver_common.h new file mode 100644 index 0000000000000000000000000000000000000000..99e4e793e38e3ab2e12918cfdcd04f0155b79cae --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/include/cusolver_common.h @@ -0,0 +1,266 @@ +/* + * Copyright 2014 NVIDIA Corporation. All rights reserved. + * + * NOTICE TO LICENSEE: + * + * This source code and/or documentation ("Licensed Deliverables") are + * subject to NVIDIA intellectual property rights under U.S. and + * international Copyright laws. + * + * These Licensed Deliverables contained herein is PROPRIETARY and + * CONFIDENTIAL to NVIDIA and is being provided under the terms and + * conditions of a form of NVIDIA software license agreement by and + * between NVIDIA and Licensee ("License Agreement") or electronically + * accepted by Licensee. Notwithstanding any terms or conditions to + * the contrary in the License Agreement, reproduction or disclosure + * of the Licensed Deliverables to any third party without the express + * written consent of NVIDIA is prohibited. + * + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, NVIDIA MAKES NO REPRESENTATION ABOUT THE + * SUITABILITY OF THESE LICENSED DELIVERABLES FOR ANY PURPOSE. IT IS + * PROVIDED "AS IS" WITHOUT EXPRESS OR IMPLIED WARRANTY OF ANY KIND. + * NVIDIA DISCLAIMS ALL WARRANTIES WITH REGARD TO THESE LICENSED + * DELIVERABLES, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY, + * NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. + * NOTWITHSTANDING ANY TERMS OR CONDITIONS TO THE CONTRARY IN THE + * LICENSE AGREEMENT, IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY + * SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, OR ANY + * DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, + * WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS + * ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE + * OF THESE LICENSED DELIVERABLES. + * + * U.S. Government End Users. These Licensed Deliverables are a + * "commercial item" as that term is defined at 48 C.F.R. 2.101 (OCT + * 1995), consisting of "commercial computer software" and "commercial + * computer software documentation" as such terms are used in 48 + * C.F.R. 12.212 (SEPT 1995) and is provided to the U.S. Government + * only as a commercial end item. Consistent with 48 C.F.R.12.212 and + * 48 C.F.R. 227.7202-1 through 227.7202-4 (JUNE 1995), all + * U.S. Government End Users acquire the Licensed Deliverables with + * only those rights set forth herein. + * + * Any use of the Licensed Deliverables in individual and commercial + * software must include, in the user documentation and internal + * comments to the code, the above Disclaimer and U.S. Government End + * Users Notice. + */ + +#if !defined(CUSOLVER_COMMON_H_) + #define CUSOLVER_COMMON_H_ + + #include "library_types.h" + + #ifndef CUSOLVERAPI + #ifdef _WIN32 + #define CUSOLVERAPI __stdcall + #else + #define CUSOLVERAPI + #endif + #endif + + #if defined(_MSC_VER) +typedef __int64 int64_t; + #else + #include + #endif + +typedef int cusolver_int_t; + + #define CUSOLVER_VER_MAJOR 11 + #define CUSOLVER_VER_MINOR 4 + #define CUSOLVER_VER_PATCH 5 + #define CUSOLVER_VER_BUILD 107 + #define CUSOLVER_VERSION \ + (CUSOLVER_VER_MAJOR * 1000 + CUSOLVER_VER_MINOR * 100 + CUSOLVER_VER_PATCH) + + /* + * disable this macro to proceed old API + */ + #define DISABLE_CUSOLVER_DEPRECATED + +//------------------------------------------------------------------------------ + + #if !defined(_MSC_VER) + #define CUSOLVER_CPP_VERSION __cplusplus + #elif _MSC_FULL_VER >= 190024210 // Visual Studio 2015 Update 3 + #define CUSOLVER_CPP_VERSION _MSVC_LANG + #else + #define CUSOLVER_CPP_VERSION 0 + #endif + +//------------------------------------------------------------------------------ + + #if !defined(DISABLE_CUSOLVER_DEPRECATED) + + #if CUSOLVER_CPP_VERSION >= 201402L + + #define CUSOLVER_DEPRECATED(new_func) \ + [[deprecated("please use " #new_func " instead")]] + + #elif defined(_MSC_VER) + + #define CUSOLVER_DEPRECATED(new_func) \ + __declspec(deprecated("please use " #new_func " instead")) + + #elif defined(__INTEL_COMPILER) || defined(__clang__) || \ + (defined(__GNUC__) && \ + (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ >= 5))) + + #define CUSOLVER_DEPRECATED(new_func) \ + __attribute__((deprecated("please use " #new_func " instead"))) + + #elif defined(__GNUC__) || defined(__xlc__) + + #define CUSOLVER_DEPRECATED(new_func) __attribute__((deprecated)) + + #else + + #define CUSOLVER_DEPRECATED(new_func) + + #endif // defined(__cplusplus) && __cplusplus >= 201402L + //------------------------------------------------------------------------------ + + #if CUSOLVER_CPP_VERSION >= 201703L + + #define CUSOLVER_DEPRECATED_ENUM(new_enum) \ + [[deprecated("please use " #new_enum " instead")]] + + #elif defined(__clang__) || \ + (defined(__GNUC__) && __GNUC__ >= 6 && !defined(__PGI)) + + #define CUSOLVER_DEPRECATED_ENUM(new_enum) \ + __attribute__((deprecated("please use " #new_enum " instead"))) + + #else + + #define CUSOLVER_DEPRECATED_ENUM(new_enum) + + #endif // defined(__cplusplus) && __cplusplus >= 201402L + + #else // defined(DISABLE_CUSOLVER_DEPRECATED) + + #define CUSOLVER_DEPRECATED(new_func) + #define CUSOLVER_DEPRECATED_ENUM(new_enum) + + #endif // !defined(DISABLE_CUSOLVER_DEPRECATED) + + #undef CUSOLVER_CPP_VERSION + + #if defined(__cplusplus) +extern "C" { + #endif /* __cplusplus */ + + typedef enum { + CUSOLVER_STATUS_SUCCESS = 0, + CUSOLVER_STATUS_NOT_INITIALIZED = 1, + CUSOLVER_STATUS_ALLOC_FAILED = 2, + CUSOLVER_STATUS_INVALID_VALUE = 3, + CUSOLVER_STATUS_ARCH_MISMATCH = 4, + CUSOLVER_STATUS_MAPPING_ERROR = 5, + CUSOLVER_STATUS_EXECUTION_FAILED = 6, + CUSOLVER_STATUS_INTERNAL_ERROR = 7, + CUSOLVER_STATUS_MATRIX_TYPE_NOT_SUPPORTED = 8, + CUSOLVER_STATUS_NOT_SUPPORTED = 9, + CUSOLVER_STATUS_ZERO_PIVOT = 10, + CUSOLVER_STATUS_INVALID_LICENSE = 11, + CUSOLVER_STATUS_IRS_PARAMS_NOT_INITIALIZED = 12, + CUSOLVER_STATUS_IRS_PARAMS_INVALID = 13, + CUSOLVER_STATUS_IRS_PARAMS_INVALID_PREC = 14, + CUSOLVER_STATUS_IRS_PARAMS_INVALID_REFINE = 15, + CUSOLVER_STATUS_IRS_PARAMS_INVALID_MAXITER = 16, + CUSOLVER_STATUS_IRS_INTERNAL_ERROR = 20, + CUSOLVER_STATUS_IRS_NOT_SUPPORTED = 21, + CUSOLVER_STATUS_IRS_OUT_OF_RANGE = 22, + CUSOLVER_STATUS_IRS_NRHS_NOT_SUPPORTED_FOR_REFINE_GMRES = 23, + CUSOLVER_STATUS_IRS_INFOS_NOT_INITIALIZED = 25, + CUSOLVER_STATUS_IRS_INFOS_NOT_DESTROYED = 26, + CUSOLVER_STATUS_IRS_MATRIX_SINGULAR = 30, + CUSOLVER_STATUS_INVALID_WORKSPACE = 31 + } cusolverStatus_t; + + typedef enum { + CUSOLVER_EIG_TYPE_1 = 1, + CUSOLVER_EIG_TYPE_2 = 2, + CUSOLVER_EIG_TYPE_3 = 3 + } cusolverEigType_t; + + typedef enum { + CUSOLVER_EIG_MODE_NOVECTOR = 0, + CUSOLVER_EIG_MODE_VECTOR = 1 + } cusolverEigMode_t; + + typedef enum { + CUSOLVER_EIG_RANGE_ALL = 1001, + CUSOLVER_EIG_RANGE_I = 1002, + CUSOLVER_EIG_RANGE_V = 1003, + } cusolverEigRange_t; + + typedef enum { + CUSOLVER_INF_NORM = 104, + CUSOLVER_MAX_NORM = 105, + CUSOLVER_ONE_NORM = 106, + CUSOLVER_FRO_NORM = 107, + } cusolverNorm_t; + + typedef enum { + CUSOLVER_IRS_REFINE_NOT_SET = 1100, + CUSOLVER_IRS_REFINE_NONE = 1101, + CUSOLVER_IRS_REFINE_CLASSICAL = 1102, + CUSOLVER_IRS_REFINE_CLASSICAL_GMRES = 1103, + CUSOLVER_IRS_REFINE_GMRES = 1104, + CUSOLVER_IRS_REFINE_GMRES_GMRES = 1105, + CUSOLVER_IRS_REFINE_GMRES_NOPCOND = 1106, + + CUSOLVER_PREC_DD = 1150, + CUSOLVER_PREC_SS = 1151, + CUSOLVER_PREC_SHT = 1152, + + } cusolverIRSRefinement_t; + + typedef enum { + CUSOLVER_R_8I = 1201, + CUSOLVER_R_8U = 1202, + CUSOLVER_R_64F = 1203, + CUSOLVER_R_32F = 1204, + CUSOLVER_R_16F = 1205, + CUSOLVER_R_16BF = 1206, + CUSOLVER_R_TF32 = 1207, + CUSOLVER_R_AP = 1208, + CUSOLVER_C_8I = 1211, + CUSOLVER_C_8U = 1212, + CUSOLVER_C_64F = 1213, + CUSOLVER_C_32F = 1214, + CUSOLVER_C_16F = 1215, + CUSOLVER_C_16BF = 1216, + CUSOLVER_C_TF32 = 1217, + CUSOLVER_C_AP = 1218, + } cusolverPrecType_t; + + typedef enum { + CUSOLVER_ALG_0 = 0, /* default algorithm */ + CUSOLVER_ALG_1 = 1, + CUSOLVER_ALG_2 = 2 + } cusolverAlgMode_t; + + typedef enum { + CUBLAS_STOREV_COLUMNWISE = 0, + CUBLAS_STOREV_ROWWISE = 1 + } cusolverStorevMode_t; + + typedef enum { + CUBLAS_DIRECT_FORWARD = 0, + CUBLAS_DIRECT_BACKWARD = 1 + } cusolverDirectMode_t; + + cusolverStatus_t CUSOLVERAPI + cusolverGetProperty(libraryPropertyType type, int *value); + + cusolverStatus_t CUSOLVERAPI cusolverGetVersion(int *version); + + #if defined(__cplusplus) +} + #endif /* __cplusplus */ + +#endif // CUSOLVER_COMMON_H_ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/lib/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/lib/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/lib/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/lib/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..d84b2202cc9e8e1d91f280dbcc02f9cc914622c8 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/cusolver/lib/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..1af12d8712db5a15154ef936944bcdd502f7a0a8 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c082ca1c4bd9356978395f9ef1659d16ac5355e8 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/nccl.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/nccl.h new file mode 100644 index 0000000000000000000000000000000000000000..aae5625bdb8850e045ca04711ff5da845511fbf2 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/nccl.h @@ -0,0 +1,448 @@ +/************************************************************************* + * Copyright (c) 2015-2021, NVIDIA CORPORATION. All rights reserved. + * + * See LICENSE.txt for license information + ************************************************************************/ + +#ifndef NCCL_H_ +#define NCCL_H_ + +#include +#include +#if CUDART_VERSION >= 11000 +#include +#endif + +#define NCCL_MAJOR 2 +#define NCCL_MINOR 20 +#define NCCL_PATCH 5 +#define NCCL_SUFFIX "" + +#define NCCL_VERSION_CODE 22005 +#define NCCL_VERSION(X,Y,Z) (((X) <= 2 && (Y) <= 8) ? (X) * 1000 + (Y) * 100 + (Z) : (X) * 10000 + (Y) * 100 + (Z)) + +#ifdef __cplusplus +extern "C" { +#endif + +#include +/* Opaque handle to communicator */ +typedef struct ncclComm* ncclComm_t; +#define NCCL_COMM_NULL NULL + +#define NCCL_UNIQUE_ID_BYTES 128 +typedef struct { char internal[NCCL_UNIQUE_ID_BYTES]; } ncclUniqueId; + +/* Error type */ +typedef enum { ncclSuccess = 0, + ncclUnhandledCudaError = 1, + ncclSystemError = 2, + ncclInternalError = 3, + ncclInvalidArgument = 4, + ncclInvalidUsage = 5, + ncclRemoteError = 6, + ncclInProgress = 7, + ncclNumResults = 8 } ncclResult_t; + +#define NCCL_CONFIG_UNDEF_INT INT_MIN +#define NCCL_CONFIG_UNDEF_PTR NULL +#define NCCL_SPLIT_NOCOLOR -1 + +/* Communicator configuration. Users can assign value to attributes to specify the + * behavior of a communicator. */ +typedef struct ncclConfig_v21700 { + /* attributes that users should never touch. */ + size_t size; + unsigned int magic; + unsigned int version; + /* attributes that users are able to customize. */ + int blocking; + int cgaClusterSize; + int minCTAs; + int maxCTAs; + const char *netName; + int splitShare; +} ncclConfig_t; + +/* Config initializer must be assigned to initialize config structure when it is created. + * Not initialized config will result in NCCL error. */ +#define NCCL_CONFIG_INITIALIZER { \ + sizeof(ncclConfig_t), /* size */ \ + 0xcafebeef, /* magic */ \ + NCCL_VERSION(NCCL_MAJOR, NCCL_MINOR, NCCL_PATCH), /* version */ \ + NCCL_CONFIG_UNDEF_INT, /* blocking */ \ + NCCL_CONFIG_UNDEF_INT, /* cgaClusterSize */ \ + NCCL_CONFIG_UNDEF_INT, /* minCTAs */ \ + NCCL_CONFIG_UNDEF_INT, /* maxCTAs */ \ + NCCL_CONFIG_UNDEF_PTR, /* netName */ \ + NCCL_CONFIG_UNDEF_INT /* splitShare */ \ +} + +/* NCCL malloc and free function for all types of NCCL optimizations + * (e.g. user buffer registration). The actual allocated size might + * be larger than requested due to granularity requirement. */ +ncclResult_t ncclMemAlloc(void** ptr, size_t size); +ncclResult_t pncclMemAlloc(void** ptr, size_t size); + +ncclResult_t ncclMemFree(void *ptr); +ncclResult_t pncclMemFree(void *ptr); + +/* Return the NCCL_VERSION_CODE of the NCCL library in the supplied integer. + * This integer is coded with the MAJOR, MINOR and PATCH level of the + * NCCL library + */ +ncclResult_t ncclGetVersion(int *version); +ncclResult_t pncclGetVersion(int *version); + +/* Generates an Id to be used in ncclCommInitRank. ncclGetUniqueId should be + * called once and the Id should be distributed to all ranks in the + * communicator before calling ncclCommInitRank. */ +ncclResult_t ncclGetUniqueId(ncclUniqueId* uniqueId); +ncclResult_t pncclGetUniqueId(ncclUniqueId* uniqueId); + +/* Create a new communicator (multi thread/process version) with a configuration + * set by users. */ +ncclResult_t ncclCommInitRankConfig(ncclComm_t* comm, int nranks, ncclUniqueId commId, int rank, ncclConfig_t* config); +ncclResult_t pncclCommInitRankConfig(ncclComm_t* comm, int nranks, ncclUniqueId commId, int rank, ncclConfig_t* config); + +/* Creates a new communicator (multi thread/process version). + * rank must be between 0 and nranks-1 and unique within a communicator clique. + * Each rank is associated to a CUDA device, which has to be set before calling + * ncclCommInitRank. + * ncclCommInitRank implicitly syncronizes with other ranks, so it must be + * called by different threads/processes or use ncclGroupStart/ncclGroupEnd. */ +ncclResult_t ncclCommInitRank(ncclComm_t* comm, int nranks, ncclUniqueId commId, int rank); +ncclResult_t pncclCommInitRank(ncclComm_t* comm, int nranks, ncclUniqueId commId, int rank); + +/* Creates a clique of communicators (single process version). + * This is a convenience function to create a single-process communicator clique. + * Returns an array of ndev newly initialized communicators in comm. + * comm should be pre-allocated with size at least ndev*sizeof(ncclComm_t). + * If devlist is NULL, the first ndev CUDA devices are used. + * Order of devlist defines user-order of processors within the communicator. */ +ncclResult_t ncclCommInitAll(ncclComm_t* comm, int ndev, const int* devlist); +ncclResult_t pncclCommInitAll(ncclComm_t* comm, int ndev, const int* devlist); + +/* Finalize a communicator. ncclCommFinalize flushes all issued communications, + * and marks communicator state as ncclInProgress. The state will change to ncclSuccess + * when the communicator is globally quiescent and related resources are freed; then, + * calling ncclCommDestroy can locally free the rest of the resources (e.g. communicator + * itself) without blocking. */ +ncclResult_t ncclCommFinalize(ncclComm_t comm); +ncclResult_t pncclCommFinalize(ncclComm_t comm); + +/* Frees local resources associated with communicator object. */ +ncclResult_t ncclCommDestroy(ncclComm_t comm); +ncclResult_t pncclCommDestroy(ncclComm_t comm); + +/* Frees resources associated with communicator object and aborts any operations + * that might still be running on the device. */ +ncclResult_t ncclCommAbort(ncclComm_t comm); +ncclResult_t pncclCommAbort(ncclComm_t comm); + +/* Creates one or more communicators from an existing one. + * Ranks with the same color will end up in the same communicator. + * Within the new communicator, key will be used to order ranks. + * NCCL_SPLIT_NOCOLOR as color will indicate the rank will not be part of any group + * and will therefore return a NULL communicator. + * If config is NULL, the new communicator will inherit the original communicator's + * configuration*/ +ncclResult_t ncclCommSplit(ncclComm_t comm, int color, int key, ncclComm_t *newcomm, ncclConfig_t* config); +ncclResult_t pncclCommSplit(ncclComm_t comm, int color, int key, ncclComm_t *newcomm, ncclConfig_t* config); + +/* Returns a string for each error code. */ +const char* ncclGetErrorString(ncclResult_t result); +const char* pncclGetErrorString(ncclResult_t result); + +/* Returns a human-readable message of the last error that occurred. */ +const char* ncclGetLastError(ncclComm_t comm); +const char* pncclGetLastError(ncclComm_t comm); + +/* Checks whether the comm has encountered any asynchronous errors */ +ncclResult_t ncclCommGetAsyncError(ncclComm_t comm, ncclResult_t *asyncError); +ncclResult_t pncclCommGetAsyncError(ncclComm_t comm, ncclResult_t *asyncError); + +/* Gets the number of ranks in the communicator clique. */ +ncclResult_t ncclCommCount(const ncclComm_t comm, int* count); +ncclResult_t pncclCommCount(const ncclComm_t comm, int* count); + +/* Returns the cuda device number associated with the communicator. */ +ncclResult_t ncclCommCuDevice(const ncclComm_t comm, int* device); +ncclResult_t pncclCommCuDevice(const ncclComm_t comm, int* device); + +/* Returns the user-ordered "rank" associated with the communicator. */ +ncclResult_t ncclCommUserRank(const ncclComm_t comm, int* rank); +ncclResult_t pncclCommUserRank(const ncclComm_t comm, int* rank); + + +/* Register CUDA buffer for zero-copy operation */ +ncclResult_t ncclCommRegister(const ncclComm_t comm, void* buff, size_t size, void** handle); +ncclResult_t pncclCommRegister(const ncclComm_t comm, void* buff, size_t size, void** handle); + +/* Deregister CUDA buffer */ +ncclResult_t ncclCommDeregister(const ncclComm_t comm, void* handle); +ncclResult_t pncclCommDeregister(const ncclComm_t comm, void* handle); + +/* Reduction operation selector */ +typedef enum { ncclNumOps_dummy = 5 } ncclRedOp_dummy_t; +typedef enum { ncclSum = 0, + ncclProd = 1, + ncclMax = 2, + ncclMin = 3, + ncclAvg = 4, + /* ncclNumOps: The number of built-in ncclRedOp_t values. Also + * serves as the least possible value for dynamic ncclRedOp_t's + * as constructed by ncclRedOpCreate*** functions. */ + ncclNumOps = 5, + /* ncclMaxRedOp: The largest valid value for ncclRedOp_t. + * It is defined to be the largest signed value (since compilers + * are permitted to use signed enums) that won't grow + * sizeof(ncclRedOp_t) when compared to previous NCCL versions to + * maintain ABI compatibility. */ + ncclMaxRedOp = 0x7fffffff>>(32-8*sizeof(ncclRedOp_dummy_t)) + } ncclRedOp_t; + +/* Data types */ +typedef enum { ncclInt8 = 0, ncclChar = 0, + ncclUint8 = 1, + ncclInt32 = 2, ncclInt = 2, + ncclUint32 = 3, + ncclInt64 = 4, + ncclUint64 = 5, + ncclFloat16 = 6, ncclHalf = 6, + ncclFloat32 = 7, ncclFloat = 7, + ncclFloat64 = 8, ncclDouble = 8, +#if defined(__CUDA_BF16_TYPES_EXIST__) + ncclBfloat16 = 9, + ncclNumTypes = 10 +#else + ncclNumTypes = 9 +#endif +} ncclDataType_t; + +/* ncclScalarResidence_t: Location and dereferencing logic for scalar arguments. */ +typedef enum { + /* ncclScalarDevice: The scalar is in device-visible memory and will be + * dereferenced while the collective is running. */ + ncclScalarDevice = 0, + + /* ncclScalarHostImmediate: The scalar is in host-visible memory and will be + * dereferenced before the ncclRedOpCreate***() function returns. */ + ncclScalarHostImmediate = 1 +} ncclScalarResidence_t; + +/* + * ncclRedOpCreatePreMulSum + * + * Creates a new reduction operator which pre-multiplies input values by a given + * scalar locally before reducing them with peer values via summation. For use + * only with collectives launched against *comm* and *datatype*. The + * *residence* argument indicates how/when the memory pointed to by *scalar* + * will be dereferenced. Upon return, the newly created operator's handle + * is stored in *op*. + */ +ncclResult_t ncclRedOpCreatePreMulSum(ncclRedOp_t *op, void *scalar, ncclDataType_t datatype, ncclScalarResidence_t residence, ncclComm_t comm); +ncclResult_t pncclRedOpCreatePreMulSum(ncclRedOp_t *op, void *scalar, ncclDataType_t datatype, ncclScalarResidence_t residence, ncclComm_t comm); + +/* + * ncclRedOpDestroy + * + * Destroys the reduction operator *op*. The operator must have been created by + * ncclRedOpCreatePreMul with the matching communicator *comm*. An operator may be + * destroyed as soon as the last NCCL function which is given that operator returns. + */ +ncclResult_t ncclRedOpDestroy(ncclRedOp_t op, ncclComm_t comm); +ncclResult_t pncclRedOpDestroy(ncclRedOp_t op, ncclComm_t comm); + +/* + * Collective communication operations + * + * Collective communication operations must be called separately for each + * communicator in a communicator clique. + * + * They return when operations have been enqueued on the CUDA stream. + * + * Since they may perform inter-CPU synchronization, each call has to be done + * from a different thread or process, or need to use Group Semantics (see + * below). + */ + +/* + * Reduce + * + * Reduces data arrays of length count in sendbuff into recvbuff using op + * operation. + * recvbuff may be NULL on all calls except for root device. + * root is the rank (not the CUDA device) where data will reside after the + * operation is complete. + * + * In-place operation will happen if sendbuff == recvbuff. + */ +ncclResult_t ncclReduce(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, + ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream); +ncclResult_t pncclReduce(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, + ncclRedOp_t op, int root, ncclComm_t comm, cudaStream_t stream); + +/* + * (deprecated) Broadcast (in-place) + * + * Copies count values from root to all other devices. + * root is the rank (not the CUDA device) where data resides before the + * operation is started. + * + * This operation is implicitely in place. + */ +ncclResult_t ncclBcast(void* buff, size_t count, ncclDataType_t datatype, int root, + ncclComm_t comm, cudaStream_t stream); +ncclResult_t pncclBcast(void* buff, size_t count, ncclDataType_t datatype, int root, + ncclComm_t comm, cudaStream_t stream); + +/* + * Broadcast + * + * Copies count values from root to all other devices. + * root is the rank (not the CUDA device) where data resides before the + * operation is started. + * + * In-place operation will happen if sendbuff == recvbuff. + */ +ncclResult_t ncclBroadcast(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root, + ncclComm_t comm, cudaStream_t stream); +ncclResult_t pncclBroadcast(const void* sendbuff, void* recvbuff, size_t count, ncclDataType_t datatype, int root, + ncclComm_t comm, cudaStream_t stream); + +/* + * All-Reduce + * + * Reduces data arrays of length count in sendbuff using op operation, and + * leaves identical copies of result on each recvbuff. + * + * In-place operation will happen if sendbuff == recvbuff. + */ +ncclResult_t ncclAllReduce(const void* sendbuff, void* recvbuff, size_t count, + ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm, cudaStream_t stream); +ncclResult_t pncclAllReduce(const void* sendbuff, void* recvbuff, size_t count, + ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm, cudaStream_t stream); + +/* + * Reduce-Scatter + * + * Reduces data in sendbuff using op operation and leaves reduced result + * scattered over the devices so that recvbuff on rank i will contain the i-th + * block of the result. + * Assumes sendcount is equal to nranks*recvcount, which means that sendbuff + * should have a size of at least nranks*recvcount elements. + * + * In-place operations will happen if recvbuff == sendbuff + rank * recvcount. + */ +ncclResult_t ncclReduceScatter(const void* sendbuff, void* recvbuff, + size_t recvcount, ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm, + cudaStream_t stream); +ncclResult_t pncclReduceScatter(const void* sendbuff, void* recvbuff, + size_t recvcount, ncclDataType_t datatype, ncclRedOp_t op, ncclComm_t comm, + cudaStream_t stream); + +/* + * All-Gather + * + * Each device gathers sendcount values from other GPUs into recvbuff, + * receiving data from rank i at offset i*sendcount. + * Assumes recvcount is equal to nranks*sendcount, which means that recvbuff + * should have a size of at least nranks*sendcount elements. + * + * In-place operations will happen if sendbuff == recvbuff + rank * sendcount. + */ +ncclResult_t ncclAllGather(const void* sendbuff, void* recvbuff, size_t sendcount, + ncclDataType_t datatype, ncclComm_t comm, cudaStream_t stream); +ncclResult_t pncclAllGather(const void* sendbuff, void* recvbuff, size_t sendcount, + ncclDataType_t datatype, ncclComm_t comm, cudaStream_t stream); + +/* + * Send + * + * Send data from sendbuff to rank peer. + * + * Rank peer needs to call ncclRecv with the same datatype and the same count from this + * rank. + * + * This operation is blocking for the GPU. If multiple ncclSend and ncclRecv operations + * need to progress concurrently to complete, they must be fused within a ncclGroupStart/ + * ncclGroupEnd section. + */ +ncclResult_t ncclSend(const void* sendbuff, size_t count, ncclDataType_t datatype, int peer, + ncclComm_t comm, cudaStream_t stream); +ncclResult_t pncclSend(const void* sendbuff, size_t count, ncclDataType_t datatype, int peer, + ncclComm_t comm, cudaStream_t stream); + +/* + * Receive + * + * Receive data from rank peer into recvbuff. + * + * Rank peer needs to call ncclSend with the same datatype and the same count to this + * rank. + * + * This operation is blocking for the GPU. If multiple ncclSend and ncclRecv operations + * need to progress concurrently to complete, they must be fused within a ncclGroupStart/ + * ncclGroupEnd section. + */ +ncclResult_t pncclRecv(void* recvbuff, size_t count, ncclDataType_t datatype, int peer, + ncclComm_t comm, cudaStream_t stream); +ncclResult_t ncclRecv(void* recvbuff, size_t count, ncclDataType_t datatype, int peer, + ncclComm_t comm, cudaStream_t stream); + +/* + * Group semantics + * + * When managing multiple GPUs from a single thread, and since NCCL collective + * calls may perform inter-CPU synchronization, we need to "group" calls for + * different ranks/devices into a single call. + * + * Grouping NCCL calls as being part of the same collective operation is done + * using ncclGroupStart and ncclGroupEnd. ncclGroupStart will enqueue all + * collective calls until the ncclGroupEnd call, which will wait for all calls + * to be complete. Note that for collective communication, ncclGroupEnd only + * guarantees that the operations are enqueued on the streams, not that + * the operation is effectively done. + * + * Both collective communication and ncclCommInitRank can be used in conjunction + * of ncclGroupStart/ncclGroupEnd, but not together. + * + * Group semantics also allow to fuse multiple operations on the same device + * to improve performance (for aggregated collective calls), or to permit + * concurrent progress of multiple send/receive operations. + */ + +/* + * Group Start + * + * Start a group call. All calls to NCCL until ncclGroupEnd will be fused into + * a single NCCL operation. Nothing will be started on the CUDA stream until + * ncclGroupEnd. + */ +ncclResult_t ncclGroupStart(); +ncclResult_t pncclGroupStart(); + +/* + * Group End + * + * End a group call. Start a fused NCCL operation consisting of all calls since + * ncclGroupStart. Operations on the CUDA stream depending on the NCCL operations + * need to be called after ncclGroupEnd. + */ +ncclResult_t ncclGroupEnd(); +ncclResult_t pncclGroupEnd(); + +/* Register CUDA buffer for zero-copy operation */ +ncclResult_t ncclCommRegister(const ncclComm_t comm, void* buff, size_t size, void** handle); +ncclResult_t pncclCommRegister(const ncclComm_t comm, void* buff, size_t size, void** handle); + +/* Deregister CUDA buffer */ +ncclResult_t ncclCommDeregister(const ncclComm_t comm, void* handle); +ncclResult_t pncclCommDeregister(const ncclComm_t comm, void* handle); + +#ifdef __cplusplus +} // end extern "C" +#endif + +#endif // end include guard diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/nccl_net.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/nccl_net.h new file mode 100644 index 0000000000000000000000000000000000000000..467d9fdb89f546a0491e12b38f8fbe2d153f1c68 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/include/nccl_net.h @@ -0,0 +1,456 @@ +/************************************************************************* + * Copyright (c) 2017-2022, NVIDIA CORPORATION. All rights reserved. + * + * See LICENSE.txt for license information + ************************************************************************/ + +#ifndef NCCL_NET_H_ +#define NCCL_NET_H_ + +#include "nccl.h" +#include "nccl_common.h" +#include "net_device.h" +#include + +#define NCCL_NET_HANDLE_MAXSIZE 128 + +#define NCCL_PTR_HOST 0x1 +#define NCCL_PTR_CUDA 0x2 +#define NCCL_PTR_DMABUF 0x4 + +// Maximum number of requests per comm object +#define NCCL_NET_MAX_REQUESTS 32 + +typedef struct { + char* name; // Used mostly for logging. + char* pciPath; // Path to the PCI device in /sys. + uint64_t guid; // Unique identifier for the NIC chip. Important for + // cards with multiple PCI functions (Physical or virtual). + int ptrSupport; // [NCCL_PTR_HOST|NCCL_PTR_CUDA|NCCL_PTR_DMABUF] + int regIsGlobal; // regMr is not tied to a particular comm + int speed; // Port speed in Mbps. + int port; // Port number. + float latency; // Network latency + int maxComms; // Maximum number of comms we can create + int maxRecvs; // Maximum number of grouped receives. + ncclNetDeviceType netDeviceType; // Network offload type + int netDeviceVersion; // Version number for network offload +} ncclNetProperties_v8_t; + +typedef ncclNetProperties_v8_t ncclNetProperties_t; + +typedef struct { + // Name of the network (mainly for logs) + const char* name; + // Initialize the network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v8_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create a connection. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Connect to a handle and return a sending comm object for that peer. + // This call must not block for the connection to be established, and instead + // should return successfully with sendComm == NULL with the expectation that + // it will be called again until sendComm != NULL. + // If *sendDevComm points to a valid object, then NCCL is requesting device offload for this connection + ncclResult_t (*connect)(int dev, void* handle, void** sendComm, ncclNetDeviceHandle_v8_t** sendDevComm); + // Finalize connection establishment after remote peer has called connect. + // This call must not block for the connection to be established, and instead + // should return successfully with recvComm == NULL with the expectation that + // it will be called again until recvComm != NULL. + // If *recvDevComm points to a valid object, then NCCL is requesting device offload for this connection + ncclResult_t (*accept)(void* listenComm, void** recvComm, ncclNetDeviceHandle_v8_t** recvDevComm); + // Register/Deregister memory. Comm can be either a sendComm or a recvComm. + // Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* comm, void* data, size_t size, int type, void** mhandle); + /* DMA-BUF support */ + ncclResult_t (*regMrDmaBuf)(void* comm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle); + ncclResult_t (*deregMr)(void* comm, void* mhandle); + // Asynchronous send to a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*isend)(void* sendComm, void* data, int size, int tag, void* mhandle, void** request); + // Asynchronous recv from a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*irecv)(void* recvComm, int n, void** data, int* sizes, int* tags, void** mhandles, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* recvComm, int n, void** data, int* sizes, void** mhandles, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* sizes); + // Close and free send/recv comm objects + ncclResult_t (*closeSend)(void* sendComm); + ncclResult_t (*closeRecv)(void* recvComm); + ncclResult_t (*closeListen)(void* listenComm); + + // Copy the given mhandle to a dptr in a format usable by this plugin's device code + ncclResult_t (*getDeviceMr)(void* comm, void* mhandle, void** dptr_mhandle); + + // Notify the plugin that a recv has completed by the device + ncclResult_t (*irecvConsumed)(void* recvComm, int n, void* request); +} ncclNet_v8_t; + +typedef ncclNet_v8_t ncclNet_t; + +#define NCCL_NET_PLUGIN_SYMBOL ncclNetPlugin_v8 + +typedef struct { + void* mhandle; + void* address; + uint32_t size; +} ncclNetSGE_v8_t; + +typedef struct { + // Name of the collective network (mainly for logs) + const char* name; + // Initialize the collective network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters capable of doing collective operations. + // If ndev returns 0, all other functions might be set to NULL. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v8_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create connections. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Create a group for collective operations. handles have been created + // using listen() above. rank indicates caller's rank in the collective network. + ncclResult_t (*connect)(void* handles[], int nranks, int rank, void* listenComm, void** collComm); + // Returns whether a reduction operation on a data type is supported. + // 1 for supported, 0 otherwise. + ncclResult_t (*reduceSupport)(ncclDataType_t dataType, ncclRedOp_t redOp, int* supported); + // Register/Deregister memory. Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* collComm, void* data, size_t size, int type, void** mhandle); + /* DMA-BUF support */ + ncclResult_t (*regMrDmaBuf)(void* collComm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle); + ncclResult_t (*deregMr)(void* collComm, void* mhandle); + // Performs an asynchronous allreduce operation on the collective group. + // May return request == NULL if the call cannot be performed (or would block). + ncclResult_t (*iallreduce)(void* collComm, void* sendData, void* recvData, int count, + ncclDataType_t dataType, ncclRedOp_t redOp, void* sendMhandle, void* recvMhandle, void** request); + ncclResult_t (*iallgather)(void* collComm, void* sendData, int nRecvParts, ncclNetSGE_v8_t* recvParts, + size_t bytesPerRank, size_t windowOffset, size_t windowBytes, + void* sendMhandle, void** request); + ncclResult_t (*ireducescatter)(void* collComm, int nSendParts, ncclNetSGE_v8_t* sendParts, void* recvData, + size_t bytesPerRank, size_t windowOffset, size_t windowBytes, + ncclDataType_t dataType, ncclRedOp_t redOp, + void* recvMhandle, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* collComm, void* data, int size, void* mhandle, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* size); + // Close and free collective comm objects + ncclResult_t (*closeColl)(void* collComm); + ncclResult_t (*closeListen)(void* listenComm); +} ncclCollNet_v8_t; + +typedef ncclCollNet_v8_t ncclCollNet_t; + +#define NCCL_COLLNET_PLUGIN_SYMBOL ncclCollNetPlugin_v8 + +typedef struct { + char* name; // Used mostly for logging. + char* pciPath; // Path to the PCI device in /sys. + uint64_t guid; // Unique identifier for the NIC chip. Important for + // cards with multiple PCI functions (Physical or virtual). + int ptrSupport; // [NCCL_PTR_HOST|NCCL_PTR_CUDA|NCCL_PTR_DMABUF] + int speed; // Port speed in Mbps. + int port; // Port number. + float latency; // Network latency + int maxComms; // Maximum number of comms we can create + int maxRecvs; // Maximum number of grouped receives. + ncclNetDeviceType netDeviceType; // Network offload type + int netDeviceVersion; // Version number for network offload +} ncclNetProperties_v7_t; + +typedef struct { + // Name of the network (mainly for logs) + const char* name; + // Initialize the network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v7_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create a connection. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Connect to a handle and return a sending comm object for that peer. + // This call must not block for the connection to be established, and instead + // should return successfully with sendComm == NULL with the expectation that + // it will be called again until sendComm != NULL. + // If *sendDevComm points to a valid object, then NCCL is requesting device offload for this connection + ncclResult_t (*connect)(int dev, void* handle, void** sendComm, ncclNetDeviceHandle_v7_t** sendDevComm); + // Finalize connection establishment after remote peer has called connect. + // This call must not block for the connection to be established, and instead + // should return successfully with recvComm == NULL with the expectation that + // it will be called again until recvComm != NULL. + // If *recvDevComm points to a valid object, then NCCL is requesting device offload for this connection + ncclResult_t (*accept)(void* listenComm, void** recvComm, ncclNetDeviceHandle_v7_t** recvDevComm); + // Register/Deregister memory. Comm can be either a sendComm or a recvComm. + // Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* comm, void* data, int size, int type, void** mhandle); + /* DMA-BUF support */ + ncclResult_t (*regMrDmaBuf)(void* comm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle); + ncclResult_t (*deregMr)(void* comm, void* mhandle); + // Asynchronous send to a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*isend)(void* sendComm, void* data, int size, int tag, void* mhandle, void** request); + // Asynchronous recv from a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*irecv)(void* recvComm, int n, void** data, int* sizes, int* tags, void** mhandles, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* recvComm, int n, void** data, int* sizes, void** mhandles, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* sizes); + // Close and free send/recv comm objects + ncclResult_t (*closeSend)(void* sendComm); + ncclResult_t (*closeRecv)(void* recvComm); + ncclResult_t (*closeListen)(void* listenComm); + + // Copy the given mhandle to a dptr in a format usable by this plugin's device code + ncclResult_t (*getDeviceMr)(void* comm, void* mhandle, void** dptr_mhandle); + + // Notify the plugin that a recv has completed by the device + ncclResult_t (*irecvConsumed)(void* recvComm, int n, void* request); +} ncclNet_v7_t; + +typedef struct { + // Name of the collective network (mainly for logs) + const char* name; + // Initialize the collective network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters capable of doing collective operations. + // If ndev returns 0, all other functions might be set to NULL. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v7_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create connections. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Create a group for collective operations. handles have been created + // using listen() above. rank indicates caller's rank in the collective network. + ncclResult_t (*connect)(void* handles[], int nranks, int rank, void* listenComm, void** collComm); + // Returns whether a reduction operation on a data type is supported. + // 1 for supported, 0 otherwise. + ncclResult_t (*reduceSupport)(ncclDataType_t dataType, ncclRedOp_t redOp, int* supported); + // Register/Deregister memory. Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* collComm, void* data, int size, int type, void** mhandle); + /* DMA-BUF support */ + ncclResult_t (*regMrDmaBuf)(void* collComm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle); + ncclResult_t (*deregMr)(void* collComm, void* mhandle); + // Performs an asynchronous allreduce operation on the collective group. + // May return request == NULL if the call cannot be performed (or would block). + ncclResult_t (*iallreduce)(void* collComm, void* sendData, void* recvData, int count, + ncclDataType_t dataType, ncclRedOp_t redOp, void* sendMhandle, void* recvMhandle, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* collComm, void* data, int size, void* mhandle, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* size); + // Close and free collective comm objects + ncclResult_t (*closeColl)(void* collComm); + ncclResult_t (*closeListen)(void* listenComm); +} ncclCollNet_v7_t; + +#define NCCL_NET_MAX_REQUESTS_V6 8 + +// v6 struct for backwards compatibility +typedef struct { + char* name; // Used mostly for logging. + char* pciPath; // Path to the PCI device in /sys. + uint64_t guid; // Unique identifier for the NIC chip. Important for + // cards with multiple PCI functions (Physical or virtual). + int ptrSupport; // [NCCL_PTR_HOST|NCCL_PTR_CUDA|NCCL_PTR_DMABUF] + int speed; // Port speed in Mbps. + int port; // Port number. + float latency; // Network latency + int maxComms; // Maximum number of comms we can create + int maxRecvs; // Maximum number of grouped receives. +} ncclNetProperties_v6_t; + +typedef struct { + // Name of the network (mainly for logs) + const char* name; + // Initialize the network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v6_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create a connection. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Connect to a handle and return a sending comm object for that peer. + // This call must not block for the connection to be established, and instead + // should return successfully with sendComm == NULL with the expectation that + // it will be called again until sendComm != NULL. + ncclResult_t (*connect)(int dev, void* handle, void** sendComm); + // Finalize connection establishment after remote peer has called connect. + // This call must not block for the connection to be established, and instead + // should return successfully with recvComm == NULL with the expectation that + // it will be called again until recvComm != NULL. + ncclResult_t (*accept)(void* listenComm, void** recvComm); + // Register/Deregister memory. Comm can be either a sendComm or a recvComm. + // Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* comm, void* data, int size, int type, void** mhandle); + /* DMA-BUF support */ + ncclResult_t (*regMrDmaBuf)(void* comm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle); + ncclResult_t (*deregMr)(void* comm, void* mhandle); + // Asynchronous send to a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*isend)(void* sendComm, void* data, int size, int tag, void* mhandle, void** request); + // Asynchronous recv from a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*irecv)(void* recvComm, int n, void** data, int* sizes, int* tags, void** mhandles, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* recvComm, int n, void** data, int* sizes, void** mhandles, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* sizes); + // Close and free send/recv comm objects + ncclResult_t (*closeSend)(void* sendComm); + ncclResult_t (*closeRecv)(void* recvComm); + ncclResult_t (*closeListen)(void* listenComm); +} ncclNet_v6_t; + +typedef struct { + // Name of the collective network (mainly for logs) + const char* name; + // Initialize the collective network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters capable of doing collective operations. + // If ndev returns 0, all other functions might be set to NULL. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v6_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create connections. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Create a group for collective operations. handles have been created + // using listen() above. rank indicates caller's rank in the collective network. + ncclResult_t (*connect)(void* handles[], int nranks, int rank, void* listenComm, void** collComm); + // Returns whether a reduction operation on a data type is supported. + // 1 for supported, 0 otherwise. + ncclResult_t (*reduceSupport)(ncclDataType_t dataType, ncclRedOp_t redOp, int* supported); + // Register/Deregister memory. Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* collComm, void* data, int size, int type, void** mhandle); + /* DMA-BUF support */ + ncclResult_t (*regMrDmaBuf)(void* collComm, void* data, size_t size, int type, uint64_t offset, int fd, void** mhandle); + ncclResult_t (*deregMr)(void* collComm, void* mhandle); + // Performs an asynchronous allreduce operation on the collective group. + // May return request == NULL if the call cannot be performed (or would block). + ncclResult_t (*iallreduce)(void* collComm, void* sendData, void* recvData, int count, + ncclDataType_t dataType, ncclRedOp_t redOp, void* sendMhandle, void* recvMhandle, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* collComm, void* data, int size, void* mhandle, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* size); + // Close and free collective comm objects + ncclResult_t (*closeColl)(void* collComm); + ncclResult_t (*closeListen)(void* listenComm); +} ncclCollNet_v6_t; + +// v5 struct for backwards compatibility +typedef struct { + // Name of the network (mainly for logs) + const char* name; + // Initialize the network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v6_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create a connection. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Connect to a handle and return a sending comm object for that peer. + // This call must not block for the connection to be established, and instead + // should return successfully with sendComm == NULL with the expectation that + // it will be called again until sendComm != NULL. + ncclResult_t (*connect)(int dev, void* handle, void** sendComm); + // Finalize connection establishment after remote peer has called connect. + // This call must not block for the connection to be established, and instead + // should return successfully with recvComm == NULL with the expectation that + // it will be called again until recvComm != NULL. + ncclResult_t (*accept)(void* listenComm, void** recvComm); + // Register/Deregister memory. Comm can be either a sendComm or a recvComm. + // Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* comm, void* data, int size, int type, void** mhandle); + ncclResult_t (*deregMr)(void* comm, void* mhandle); + // Asynchronous send to a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*isend)(void* sendComm, void* data, int size, int tag, void* mhandle, void** request); + // Asynchronous recv from a peer. + // May return request == NULL if the call cannot be performed (or would block) + ncclResult_t (*irecv)(void* recvComm, int n, void** data, int* sizes, int* tags, void** mhandles, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* recvComm, int n, void** data, int* sizes, void** mhandles, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* sizes); + // Close and free send/recv comm objects + ncclResult_t (*closeSend)(void* sendComm); + ncclResult_t (*closeRecv)(void* recvComm); + ncclResult_t (*closeListen)(void* listenComm); +} ncclNet_v5_t; + +// v5 struct for backwards compatibility +typedef struct { + // Name of the collective network (mainly for logs) + const char* name; + // Initialize the collective network. + ncclResult_t (*init)(ncclDebugLogger_t logFunction); + // Return the number of adapters capable of doing collective operations. + // If ndev returns 0, all other functions might be set to NULL. + ncclResult_t (*devices)(int* ndev); + // Get various device properties. + ncclResult_t (*getProperties)(int dev, ncclNetProperties_v6_t* props); + // Create a receiving object and provide a handle to connect to it. The + // handle can be up to NCCL_NET_HANDLE_MAXSIZE bytes and will be exchanged + // between ranks to create connections. + ncclResult_t (*listen)(int dev, void* handle, void** listenComm); + // Create a group for collective operations. handles have been created + // using listen() above. rank indicates caller's rank in the collective network. + ncclResult_t (*connect)(void* handles[], int nranks, int rank, void* listenComm, void** collComm); + // Returns whether a reduction operation on a data type is supported. + // 1 for supported, 0 otherwise. + ncclResult_t (*reduceSupport)(ncclDataType_t dataType, ncclRedOp_t redOp, int* supported); + // Register/Deregister memory. Type is either NCCL_PTR_HOST or NCCL_PTR_CUDA. + ncclResult_t (*regMr)(void* collComm, void* data, int size, int type, void** mhandle); + ncclResult_t (*deregMr)(void* collComm, void* mhandle); + // Performs an asynchronous allreduce operation on the collective group. + // May return request == NULL if the call cannot be performed (or would block). + ncclResult_t (*iallreduce)(void* collComm, void* sendData, void* recvData, int count, + ncclDataType_t dataType, ncclRedOp_t redOp, void* sendMhandle, void* recvMhandle, void** request); + // Perform a flush/fence to make sure all data received with NCCL_PTR_CUDA is + // visible to the GPU + ncclResult_t (*iflush)(void* collComm, void* data, int size, void* mhandle, void** request); + // Test whether a request is complete. If size is not NULL, it returns the + // number of bytes sent/received. + ncclResult_t (*test)(void* request, int* done, int* size); + // Close and free collective comm objects + ncclResult_t (*closeColl)(void* collComm); + ncclResult_t (*closeListen)(void* listenComm); +} ncclCollNet_v5_t; + +#endif // end include guard diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/lib/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/lib/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/lib/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/lib/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..befd3a031232e081650a3698a5e809ad98f68ff4 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/nccl/lib/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..492a30d9c91ccfe92948f966ffd76e268fa216d7 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..749b5faec20edf1b660e0c35a4c7a06f4e37c290 Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExt.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExt.h new file mode 100644 index 0000000000000000000000000000000000000000..61e60aadaad018b0d7f1430eef0c735a2f15429a --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExt.h @@ -0,0 +1,1561 @@ +/* +* Copyright 2009-2017 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +/** \file nvToolsExt.h + */ + +/* ========================================================================= */ +/** \mainpage + * \tableofcontents + * \section INTRODUCTION Introduction + * + * The NVIDIA Tools Extension library is a set of functions that a + * developer can use to provide additional information to tools. + * The additional information is used by the tool to improve + * analysis and visualization of data. + * + * The library introduces close to zero overhead if no tool is + * attached to the application. The overhead when a tool is + * attached is specific to the tool. + * + * \section INITIALIZATION_SECTION Initialization + * + * Typically the tool's library that plugs into NVTX is indirectly + * loaded via enviromental properties that are platform specific. + * For some platform or special cases, the user may be required + * to instead explicity initialize instead though. This can also + * be helpful to control when the API loads a tool's library instead + * of what would typically be the first function call to emit info. + * For these rare case, see \ref INITIALIZATION for additional information. + * + * \section MARKERS_AND_RANGES Markers and Ranges + * + * Markers and ranges are used to describe events at a specific time (markers) + * or over a time span (ranges) during the execution of the application + * respectively. + * + * \subsection MARKERS Markers + * + * Markers denote specific moments in time. + * + * + * See \ref DOMAINS and \ref EVENT_ATTRIBUTES for additional information on + * how to specify the domain. + * + * \subsection THREAD_RANGES Thread Ranges + * + * Thread ranges denote nested time ranges. Nesting is maintained per thread + * per domain and does not require any additional correlation mechanism. The + * duration of a thread range is defined by the corresponding pair of + * nvtxRangePush* to nvtxRangePop API calls. + * + * See \ref DOMAINS and \ref EVENT_ATTRIBUTES for additional information on + * how to specify the domain. + * + * \subsection PROCESS_RANGES Process Ranges + * + * Process ranges denote a time span that can expose arbitrary concurrency, as + * opposed to thread ranges that only support nesting. In addition the range + * start event can happen on a different thread than the end marker. For the + * correlation of a start/end pair an unique correlation ID is used that is + * returned from the start API call and needs to be passed into the end API + * call. + * + * \subsection EVENT_ATTRIBUTES Event Attributes + * + * \ref MARKERS_AND_RANGES can be annotated with various attributes to provide + * additional information for an event or to guide the tool's visualization of + * the data. Each of the attributes is optional and if left unused the + * attributes fall back to a default value. The attributes include: + * - color + * - category + * + * To specify any attribute other than the text message, the \ref + * EVENT_ATTRIBUTE_STRUCTURE "Event Attribute Structure" must be used. + * + * \section DOMAINS Domains + * + * Domains enable developers to scope annotations. By default all events and + * annotations are in the default domain. Additional domains can be registered. + * This allows developers to scope markers, ranges, and resources names to + * avoid conflicts. + * + * The function ::nvtxDomainCreateA or ::nvtxDomainCreateW is used to create + * a named domain. + * + * Each domain maintains its own + * - categories + * - thread range stacks + * - registered strings + * + * The function ::nvtxDomainDestroy marks the end of the domain. Destroying + * a domain unregisters and destroys all objects associated with it such as + * registered strings, resource objects, named categories, and started ranges. + * + * \section RESOURCE_NAMING Resource Naming + * + * This section covers calls that allow to annotate objects with user-provided + * names in order to allow for a better analysis of complex trace data. All of + * the functions take the handle or the ID of the object to name and the name. + * The functions can be called multiple times during the execution of an + * application, however, in that case it is implementation dependent which + * name will be reported by the tool. + * + * \subsection CATEGORY_NAMING Category Naming + * + * Some function in this library support associating an integer category + * to enable filtering and sorting. The category naming functions allow + * the application to associate a user friendly name with the integer + * category. Support for domains have been added in NVTX_VERSION_2 to + * avoid collisions when domains are developed independantly. + * + * \subsection RESOURCE_OBJECTS Resource Objects + * + * Resource objects are a generic mechanism for attaching data to an application + * resource. The identifier field makes the association to a pointer or handle, + * while the type field helps provide deeper understanding of the identifier as + * well as enabling differentiation in cases where handles generated by different + * APIs may collide. The resource object may also have an associated message to + * associate with the application resource, enabling further annotation of this + * object and how it is used. + * + * The resource object was introduced in NVTX_VERSION_2 to supersede existing naming + * functions and allow the application resource identified by those functions to be + * associated to a domain. The other naming functions are still supported for backward + * compatibility but will be associated only to the default domain. + * + * \subsection RESOURCE_NAMING_OS Resource Naming + * + * Some operating system resources creation APIs do not support providing a user friendly + * name, such as some OS thread creation APIs. This API support resource naming though + * both through resource objects and functions following the pattern + * nvtxName[RESOURCE_TYPE][A|W](identifier, name). Resource objects introduced in NVTX_VERSION 2 + * supersede the other functions with a a more general method of assigning names to OS resources, + * along with associating them to domains too. The older nvtxName* functions are only associated + * with the default domain. + * \section EXTENSIONS Optional Extensions + * Optional extensions will either appear within the existing sections the extend or appear + * in the "Related Pages" when they introduce new concepts. + */ + +#ifndef NVTOOLSEXT_H_ +#define NVTOOLSEXT_H_ + +#if defined(_MSC_VER) + #ifdef NVTX_EXPORTS + #define NVTX_DECLSPEC + #else + #define NVTX_DECLSPEC __declspec(dllimport) + #endif /* NVTX_EXPORTS */ + #define NVTX_API __stdcall + #define NVTX_INLINE_STATIC __inline static +#else /*defined(__GNUC__)*/ + #define NVTX_DECLSPEC + #define NVTX_API + #define NVTX_INLINE_STATIC inline static +#endif /* Platform */ + +/** + * The nvToolsExt library depends on stdint.h. If the build tool chain in use + * does not include stdint.h then define NVTX_STDINT_TYPES_ALREADY_DEFINED + * and define the following types: + *
    + *
  • uint8_t + *
  • int8_t + *
  • uint16_t + *
  • int16_t + *
  • uint32_t + *
  • int32_t + *
  • uint64_t + *
  • int64_t + *
  • uintptr_t + *
  • intptr_t + *
+ #define NVTX_STDINT_TYPES_ALREADY_DEFINED if you are using your own header file. + */ +#ifndef NVTX_STDINT_TYPES_ALREADY_DEFINED +#include +#endif + +#include + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/** + * Tools Extension API version + */ +#define NVTX_VERSION 2 + +/** + * Size of the nvtxEventAttributes_t structure. + */ +#define NVTX_EVENT_ATTRIB_STRUCT_SIZE ( (uint16_t)( sizeof(nvtxEventAttributes_t) ) ) + +/** + * Size of the nvtxInitializationAttributes_t structure. + */ +#define NVTX_INITIALIZATION_ATTRIB_STRUCT_SIZE ( (uint16_t)( sizeof(nvtxInitializationAttributes_t) ) ) + +#define NVTX_NO_PUSH_POP_TRACKING ((int)-2) + +typedef uint64_t nvtxRangeId_t; + + +/* \brief String Handle Structure. +* \anchor STRING_HANDLE_STRUCTURE +* +* This structure is opaque to the user and is used as a handle to reference +* a string. The tools will return a pointer through the API for the application +* to hold on it's behalf to reference the string in the future. +* +*/ +typedef struct nvtxStringHandle* nvtxStringHandle_t; + +/* \brief Domain Handle Structure. +* \anchor DOMAIN_HANDLE_STRUCTURE +* +* This structure is opaque to the user and is used as a handle to reference +* a domain. The tools will return a pointer through the API for the application +* to hold on its behalf to reference the domain in the future. +* +*/ +typedef struct nvtxDomainHandle* nvtxDomainHandle_t; + + + + + + +/* ========================================================================= */ +/** \defgroup GENERAL General + * @{ + */ + +/** --------------------------------------------------------------------------- + * Color Types + * ------------------------------------------------------------------------- */ +typedef enum nvtxColorType_t +{ + NVTX_COLOR_UNKNOWN = 0, /**< Color attribute is unused. */ + NVTX_COLOR_ARGB = 1 /**< An ARGB color is provided. */ +} nvtxColorType_t; + +/** --------------------------------------------------------------------------- + * Message Types + * ------------------------------------------------------------------------- */ +typedef enum nvtxMessageType_t +{ + NVTX_MESSAGE_UNKNOWN = 0, /**< Message payload is unused. */ + NVTX_MESSAGE_TYPE_ASCII = 1, /**< A character sequence is used as payload. */ + NVTX_MESSAGE_TYPE_UNICODE = 2, /**< A wide character sequence is used as payload. */ + /* NVTX_VERSION_2 */ + NVTX_MESSAGE_TYPE_REGISTERED = 3 /**< A unique string handle that was registered + with \ref nvtxDomainRegisterStringA() or + \ref nvtxDomainRegisterStringW(). */ +} nvtxMessageType_t; + +typedef union nvtxMessageValue_t +{ + const char* ascii; + const wchar_t* unicode; + /* NVTX_VERSION_2 */ + nvtxStringHandle_t registered; +} nvtxMessageValue_t; + + +/** @} */ /*END defgroup*/ + +/* ========================================================================= */ +/** \defgroup INITIALIZATION Initialization +* @{ +* Typically the tool's library that plugs into NVTX is indirectly +* loaded via enviromental properties that are platform specific. +* For some platform or special cases, the user may be required +* to instead explicity initialize instead though. This can also +* be helpful to control when the API loads a tool's library instead +* of what would typically be the first function call to emit info. +*/ + +/** --------------------------------------------------------------------------- +* Initialization Modes +* ------------------------------------------------------------------------- */ +typedef enum nvtxInitializationMode_t +{ + NVTX_INITIALIZATION_MODE_UNKNOWN = 0, /**< A platform that supports indirect initialization will attempt this style, otherwise expect failure. */ + NVTX_INITIALIZATION_MODE_CALLBACK_V1 = 1, /**< A function pointer conforming to NVTX_VERSION=1 will be used. */ + NVTX_INITIALIZATION_MODE_CALLBACK_V2 = 2, /**< A function pointer conforming to NVTX_VERSION=2 will be used. */ + NVTX_INITIALIZATION_MODE_SIZE +} nvtxInitializationMode_t; + + +/** \brief Initialization Attribute Structure. +* \anchor INITIALIZATION_ATTRIBUTE_STRUCTURE +* +* This structure is used to describe the attributes used for initialization +* of the NVTX API. +* +* \par Initializing the Attributes +* +* The caller should always perform the following three tasks when using +* attributes: +*
    +*
  • Zero the structure +*
  • Set the version field +*
  • Set the size field +*
+* +* Zeroing the structure sets all the event attributes types and values +* to the default value. +* +* The version and size field are used by the Tools Extension +* implementation to handle multiple versions of the attributes structure. +* NVTX_INITIALIZATION_ATTRIB_STRUCT_SIZE may be used for the size. +* +* It is recommended that the caller use one of the following to methods +* to initialize the event attributes structure: +* +* \par Method 1: Initializing nvtxInitializationAttributes_t for future compatibility +* \code +* nvtxInitializationAttributes_t initAttribs = {0}; +* initAttribs.version = NVTX_VERSION; +* initAttribs.size = NVTX_INITIALIZATION_ATTRIB_STRUCT_SIZE; +* \endcode +* +* \par Method 2: Initializing nvtxInitializationAttributes_t for a specific version +* \code +* nvtxInitializationAttributes_t initAttribs = {0}; +* initAttribs.version =2; +* initAttribs.size = (uint16_t)(sizeof(nvtxInitializationAttributes_v2)); +* \endcode +* +* If the caller uses Method 1 it is critical that the entire binary +* layout of the structure be configured to 0 so that all fields +* are initialized to the default value. +* +* The caller should either use both NVTX_VERSION and +* NVTX_INITIALIZATION_ATTRIB_STRUCT_SIZE (Method 1) or use explicit values +* and a versioned type (Method 2). Using a mix of the two methods +* will likely cause either source level incompatibility or binary +* incompatibility in the future. +* +* \par Settings Attribute Types and Values +* +* +* \par Example: +* \code +* // Initialize +* nvtxInitializationAttributes_t initAttribs = {0}; +* initAttribs.version = NVTX_VERSION; +* initAttribs.size = NVTX_INITIALIZATION_ATTRIB_STRUCT_SIZE; +* +* // Configure the Attributes +* initAttribs.mode = NVTX_INITIALIZATION_MODE_CALLBACK_V2; +* initAttribs.fnptr = InitializeInjectionNvtx2; +* \endcode + +* \sa +* ::nvtxInitializationMode_t +* ::nvtxInitialize +*/ +typedef struct nvtxInitializationAttributes_v2 +{ + /** + * \brief Version flag of the structure. + * + * Needs to be set to NVTX_VERSION to indicate the version of NVTX APIs + * supported in this header file. This can optionally be overridden to + * another version of the tools extension library. + */ + uint16_t version; + + /** + * \brief Size of the structure. + * + * Needs to be set to the size in bytes of the event attribute + * structure used to specify the event. + */ + uint16_t size; + + /** + * \brief Mode of initialization. + * + * The mode of initialization dictates the overall behavior and which + * attributes in this struct will be used. + * + * Default Value is NVTX_INITIALIZATION_MODE_UNKNOWN = 0 + * \sa + * ::nvtxInitializationMode_t + */ + uint32_t mode; + + /** + * \brief Function pointer used for initialization if the mode requires + * + * The user has retrieved this function pointer from the tool library + * and would like to use it to initialize. The mode must be set to a + * NVTX_INITIALIZATION_MODE_CALLBACK_V# for this to be used. The mode + * will dictate the expectations for this member. The function signature + * will be cast from void(*)() to the appropriate signature for the mode. + * the expected behavior of the function will also depend on the mode + * beyond the simple function signature. + * + * Default Value is NVTX_INITIALIZATION_MODE_UNKNOWN which will either + * initialize based on external properties or fail if not supported on + * the given platform. + + * \sa + * ::nvtxInitializationMode_t + */ + void(*fnptr)(void); + +} nvtxInitializationAttributes_v2; + +typedef struct nvtxInitializationAttributes_v2 nvtxInitializationAttributes_t; + + +/* ------------------------------------------------------------------------- */ +/** \brief Force initialization (optional on most platforms) +* +* Force NVTX library to initialize. On some platform NVTX will implicit initialize +* upon the first function call into an NVTX API. +* +* \return Result codes are simplest to assume NVTX_SUCCESS or !NVTX_SUCCESS +* +* \param initAttrib - The initialization attribute structure +* +* \sa +* ::nvtxInitializationAttributes_t +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC int NVTX_API nvtxInitialize(const nvtxInitializationAttributes_t* initAttrib); +/** @} */ + + +/** @} */ /*END defgroup*/ + +/* ========================================================================= */ +/** \defgroup EVENT_ATTRIBUTES Event Attributes +* @{ +*/ + +/** --------------------------------------------------------------------------- +* Payload Types +* ------------------------------------------------------------------------- */ +typedef enum nvtxPayloadType_t +{ + NVTX_PAYLOAD_UNKNOWN = 0, /**< Color payload is unused. */ + NVTX_PAYLOAD_TYPE_UNSIGNED_INT64 = 1, /**< A 64 bit unsigned integer value is used as payload. */ + NVTX_PAYLOAD_TYPE_INT64 = 2, /**< A 64 bit signed integer value is used as payload. */ + NVTX_PAYLOAD_TYPE_DOUBLE = 3, /**< A 64 bit floating point value is used as payload. */ + /* NVTX_VERSION_2 */ + NVTX_PAYLOAD_TYPE_UNSIGNED_INT32 = 4, /**< A 32 bit floating point value is used as payload. */ + NVTX_PAYLOAD_TYPE_INT32 = 5, /**< A 32 bit floating point value is used as payload. */ + NVTX_PAYLOAD_TYPE_FLOAT = 6 /**< A 32 bit floating point value is used as payload. */ +} nvtxPayloadType_t; + +/** \brief Event Attribute Structure. + * \anchor EVENT_ATTRIBUTE_STRUCTURE + * + * This structure is used to describe the attributes of an event. The layout of + * the structure is defined by a specific version of the tools extension + * library and can change between different versions of the Tools Extension + * library. + * + * \par Initializing the Attributes + * + * The caller should always perform the following three tasks when using + * attributes: + *
    + *
  • Zero the structure + *
  • Set the version field + *
  • Set the size field + *
+ * + * Zeroing the structure sets all the event attributes types and values + * to the default value. + * + * The version and size field are used by the Tools Extension + * implementation to handle multiple versions of the attributes structure. + * + * It is recommended that the caller use one of the following to methods + * to initialize the event attributes structure: + * + * \par Method 1: Initializing nvtxEventAttributes for future compatibility + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * \endcode + * + * \par Method 2: Initializing nvtxEventAttributes for a specific version + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = 1; + * eventAttrib.size = (uint16_t)(sizeof(nvtxEventAttributes_v1)); + * \endcode + * + * If the caller uses Method 1 it is critical that the entire binary + * layout of the structure be configured to 0 so that all fields + * are initialized to the default value. + * + * The caller should either use both NVTX_VERSION and + * NVTX_EVENT_ATTRIB_STRUCT_SIZE (Method 1) or use explicit values + * and a versioned type (Method 2). Using a mix of the two methods + * will likely cause either source level incompatibility or binary + * incompatibility in the future. + * + * \par Settings Attribute Types and Values + * + * + * \par Example: + * \code + * // Initialize + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * + * // Configure the Attributes + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFF880000; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Example"; + * \endcode + * + * In the example the caller does not have to set the value of + * \ref ::nvtxEventAttributes_v2::category or + * \ref ::nvtxEventAttributes_v2::payload as these fields were set to + * the default value by {0}. + * \sa + * ::nvtxDomainMarkEx + * ::nvtxDomainRangeStartEx + * ::nvtxDomainRangePushEx + */ +typedef struct nvtxEventAttributes_v2 +{ + /** + * \brief Version flag of the structure. + * + * Needs to be set to NVTX_VERSION to indicate the version of NVTX APIs + * supported in this header file. This can optionally be overridden to + * another version of the tools extension library. + */ + uint16_t version; + + /** + * \brief Size of the structure. + * + * Needs to be set to the size in bytes of the event attribute + * structure used to specify the event. + */ + uint16_t size; + + /** + * \brief ID of the category the event is assigned to. + * + * A category is a user-controlled ID that can be used to group + * events. The tool may use category IDs to improve filtering or + * enable grouping of events in the same category. The functions + * \ref ::nvtxNameCategoryA or \ref ::nvtxNameCategoryW can be used + * to name a category. + * + * Default Value is 0 + */ + uint32_t category; + + /** \brief Color type specified in this attribute structure. + * + * Defines the color format of the attribute structure's \ref COLOR_FIELD + * "color" field. + * + * Default Value is NVTX_COLOR_UNKNOWN + */ + int32_t colorType; /* nvtxColorType_t */ + + /** \brief Color assigned to this event. \anchor COLOR_FIELD + * + * The color that the tool should use to visualize the event. + */ + uint32_t color; + + /** + * \brief Payload type specified in this attribute structure. + * + * Defines the payload format of the attribute structure's \ref PAYLOAD_FIELD + * "payload" field. + * + * Default Value is NVTX_PAYLOAD_UNKNOWN + */ + int32_t payloadType; /* nvtxPayloadType_t */ + + int32_t reserved0; + + /** + * \brief Payload assigned to this event. \anchor PAYLOAD_FIELD + * + * A numerical value that can be used to annotate an event. The tool could + * use the payload data to reconstruct graphs and diagrams. + */ + union payload_t + { + uint64_t ullValue; + int64_t llValue; + double dValue; + /* NVTX_VERSION_2 */ + uint32_t uiValue; + int32_t iValue; + float fValue; + } payload; + + /** \brief Message type specified in this attribute structure. + * + * Defines the message format of the attribute structure's \ref MESSAGE_FIELD + * "message" field. + * + * Default Value is NVTX_MESSAGE_UNKNOWN + */ + int32_t messageType; /* nvtxMessageType_t */ + + /** \brief Message assigned to this attribute structure. \anchor MESSAGE_FIELD + * + * The text message that is attached to an event. + */ + nvtxMessageValue_t message; + +} nvtxEventAttributes_v2; + +typedef struct nvtxEventAttributes_v2 nvtxEventAttributes_t; + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup MARKERS_AND_RANGES Markers and Ranges + * + * See \ref MARKERS_AND_RANGES for more details + * + * @{ + */ + +/** \name Marker */ + +/* ------------------------------------------------------------------------- */ +/** \brief Marks an instantaneous event in the application. +* +* A marker can contain a text message or specify additional information +* using the event attributes structure. These attributes include a text +* message, color, category, and a payload. Each of the attributes is optional +* and can only be sent out using the \ref nvtxDomainMarkEx function. +* +* nvtxDomainMarkEx(NULL, event) is equivalent to calling +* nvtxMarkEx(event). +* +* \param domain - The domain of scoping the category. +* \param eventAttrib - The event attribute structure defining the marker's +* attribute types and attribute values. +* +* \sa +* ::nvtxMarkEx +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainMarkEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Marks an instantaneous event in the application. + * + * A marker can contain a text message or specify additional information + * using the event attributes structure. These attributes include a text + * message, color, category, and a payload. Each of the attributes is optional + * and can only be sent out using the \ref nvtxMarkEx function. + * If \ref nvtxMarkA or \ref nvtxMarkW are used to specify the marker + * or if an attribute is unspecified then a default value will be used. + * + * \param eventAttrib - The event attribute structure defining the marker's + * attribute types and attribute values. + * + * \par Example: + * \code + * // zero the structure + * nvtxEventAttributes_t eventAttrib = {0}; + * // set the version and the size information + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * // configure the attributes. 0 is the default for all attributes. + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFF880000; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Example nvtxMarkEx"; + * nvtxMarkEx(&eventAttrib); + * \endcode + * + * \sa + * ::nvtxDomainMarkEx + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxMarkEx(const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Marks an instantaneous event in the application. + * + * A marker created using \ref nvtxMarkA or \ref nvtxMarkW contains only a + * text message. + * + * \param message - The message associated to this marker event. + * + * \par Example: + * \code + * nvtxMarkA("Example nvtxMarkA"); + * nvtxMarkW(L"Example nvtxMarkW"); + * \endcode + * + * \sa + * ::nvtxDomainMarkEx + * ::nvtxMarkEx + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxMarkA(const char* message); +NVTX_DECLSPEC void NVTX_API nvtxMarkW(const wchar_t* message); +/** @} */ + + +/** \name Process Ranges */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a process range in a domain. +* +* \param domain - The domain of scoping the category. +* \param eventAttrib - The event attribute structure defining the range's +* attribute types and attribute values. +* +* \return The unique ID used to correlate a pair of Start and End events. +* +* \remarks Ranges defined by Start/End can overlap. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("my domain"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; +* eventAttrib.message.ascii = "my range"; +* nvtxRangeId_t rangeId = nvtxDomainRangeStartEx(&eventAttrib); +* // ... +* nvtxDomainRangeEnd(rangeId); +* \endcode +* +* \sa +* ::nvtxDomainRangeEnd +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxDomainRangeStartEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a process range. + * + * \param eventAttrib - The event attribute structure defining the range's + * attribute types and attribute values. + * + * \return The unique ID used to correlate a pair of Start and End events. + * + * \remarks Ranges defined by Start/End can overlap. + * + * \par Example: + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * eventAttrib.category = 3; + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFF0088FF; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Example Range"; + * nvtxRangeId_t rangeId = nvtxRangeStartEx(&eventAttrib); + * // ... + * nvtxRangeEnd(rangeId); + * \endcode + * + * \sa + * ::nvtxRangeEnd + * ::nvtxDomainRangeStartEx + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartEx(const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a process range. + * + * \param message - The event message associated to this range event. + * + * \return The unique ID used to correlate a pair of Start and End events. + * + * \remarks Ranges defined by Start/End can overlap. + * + * \par Example: + * \code + * nvtxRangeId_t r1 = nvtxRangeStartA("Range 1"); + * nvtxRangeId_t r2 = nvtxRangeStartW(L"Range 2"); + * nvtxRangeEnd(r1); + * nvtxRangeEnd(r2); + * \endcode + * + * \sa + * ::nvtxRangeEnd + * ::nvtxRangeStartEx + * ::nvtxDomainRangeStartEx + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartA(const char* message); +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartW(const wchar_t* message); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a process range. +* +* \param domain - The domain +* \param id - The correlation ID returned from a nvtxRangeStart call. +* +* \remarks This function is offered completeness but is an alias for ::nvtxRangeEnd. +* It does not need a domain param since that is associated iwth the range ID at ::nvtxDomainRangeStartEx +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("my domain"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; +* eventAttrib.message.ascii = "my range"; +* nvtxRangeId_t rangeId = nvtxDomainRangeStartEx(&eventAttrib); +* // ... +* nvtxDomainRangeEnd(rangeId); +* \endcode +* +* \sa +* ::nvtxDomainRangeStartEx +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainRangeEnd(nvtxDomainHandle_t domain, nvtxRangeId_t id); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a process range. + * + * \param id - The correlation ID returned from an nvtxRangeStart call. + * + * \sa + * ::nvtxDomainRangeStartEx + * ::nvtxRangeStartEx + * ::nvtxRangeStartA + * ::nvtxRangeStartW + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxRangeEnd(nvtxRangeId_t id); +/** @} */ + +/** \name Thread Ranges */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a nested thread range. +* +* \param domain - The domain of scoping. +* \param eventAttrib - The event attribute structure defining the range's +* attribute types and attribute values. +* +* \return The 0 based level of range being started. This value is scoped to the domain. +* If an error occurs, a negative value is returned. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.colorType = NVTX_COLOR_ARGB; +* eventAttrib.color = 0xFFFF0000; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; +* eventAttrib.message.ascii = "Level 0"; +* nvtxDomainRangePushEx(domain, &eventAttrib); +* +* // Re-use eventAttrib +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_UNICODE; +* eventAttrib.message.unicode = L"Level 1"; +* nvtxDomainRangePushEx(domain, &eventAttrib); +* +* nvtxDomainRangePop(domain); //level 1 +* nvtxDomainRangePop(domain); //level 0 +* \endcode +* +* \sa +* ::nvtxDomainRangePop +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC int NVTX_API nvtxDomainRangePushEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a nested thread range. + * + * \param eventAttrib - The event attribute structure defining the range's + * attribute types and attribute values. + * + * \return The 0 based level of range being started. This level is per domain. + * If an error occurs a negative value is returned. + * + * \par Example: + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFFFF0000; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Level 0"; + * nvtxRangePushEx(&eventAttrib); + * + * // Re-use eventAttrib + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_UNICODE; + * eventAttrib.message.unicode = L"Level 1"; + * nvtxRangePushEx(&eventAttrib); + * + * nvtxRangePop(); + * nvtxRangePop(); + * \endcode + * + * \sa + * ::nvtxDomainRangePushEx + * ::nvtxRangePop + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC int NVTX_API nvtxRangePushEx(const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a nested thread range. + * + * \param message - The event message associated to this range event. + * + * \return The 0 based level of range being started. If an error occurs a + * negative value is returned. + * + * \par Example: + * \code + * nvtxRangePushA("Level 0"); + * nvtxRangePushW(L"Level 1"); + * nvtxRangePop(); + * nvtxRangePop(); + * \endcode + * + * \sa + * ::nvtxDomainRangePushEx + * ::nvtxRangePop + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC int NVTX_API nvtxRangePushA(const char* message); +NVTX_DECLSPEC int NVTX_API nvtxRangePushW(const wchar_t* message); +/** @} */ + + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a nested thread range. +* +* \return The level of the range being ended. If an error occurs a negative +* value is returned on the current thread. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreate("example library"); +* nvtxDomainRangePushA(domain, "Level 0"); +* nvtxDomainRangePushW(domain, L"Level 1"); +* nvtxDomainRangePop(domain); +* nvtxDomainRangePop(domain); +* \endcode +* +* \sa +* ::nvtxRangePushEx +* ::nvtxRangePushA +* ::nvtxRangePushW +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC int NVTX_API nvtxDomainRangePop(nvtxDomainHandle_t domain); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a nested thread range. + * + * \return The level of the range being ended. If an error occurs a negative + * value is returned on the current thread. + * + * \par Example: + * \code + * nvtxRangePushA("Level 0"); + * nvtxRangePushW(L"Level 1"); + * nvtxRangePop(); + * nvtxRangePop(); + * \endcode + * + * \sa + * ::nvtxRangePushEx + * ::nvtxRangePushA + * ::nvtxRangePushW + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC int NVTX_API nvtxRangePop(void); +/** @} */ + + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup RESOURCE_NAMING Resource Naming + * + * See \ref RESOURCE_NAMING for more details + * + * @{ + */ + + +/* ------------------------------------------------------------------------- */ +/** \name Functions for Generic Resource Naming*/ +/* ------------------------------------------------------------------------- */ + +/* ------------------------------------------------------------------------- */ +/** \cond SHOW_HIDDEN +* \brief Resource typing helpers. +* +* Classes are used to make it easy to create a series of resource types +* per API without collisions +*/ +#define NVTX_RESOURCE_MAKE_TYPE(CLASS, INDEX) ((((uint32_t)(NVTX_RESOURCE_CLASS_ ## CLASS))<<16)|((uint32_t)(INDEX))) +#define NVTX_RESOURCE_CLASS_GENERIC 1 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Generic resource type for when a resource class is not available. +* +* \sa +* ::nvtxDomainResourceCreate +* +* \version \NVTX_VERSION_2 +*/ +typedef enum nvtxResourceGenericType_t +{ + NVTX_RESOURCE_TYPE_UNKNOWN = 0, + NVTX_RESOURCE_TYPE_GENERIC_POINTER = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 1), /**< Generic pointer assumed to have no collisions with other pointers. */ + NVTX_RESOURCE_TYPE_GENERIC_HANDLE = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 2), /**< Generic handle assumed to have no collisions with other handles. */ + NVTX_RESOURCE_TYPE_GENERIC_THREAD_NATIVE = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 3), /**< OS native thread identifier. */ + NVTX_RESOURCE_TYPE_GENERIC_THREAD_POSIX = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 4) /**< POSIX pthread identifier. */ +} nvtxResourceGenericType_t; + + + +/** \brief Resource Attribute Structure. +* \anchor RESOURCE_ATTRIBUTE_STRUCTURE +* +* This structure is used to describe the attributes of a resource. The layout of +* the structure is defined by a specific version of the tools extension +* library and can change between different versions of the Tools Extension +* library. +* +* \par Initializing the Attributes +* +* The caller should always perform the following three tasks when using +* attributes: +*
    +*
  • Zero the structure +*
  • Set the version field +*
  • Set the size field +*
+* +* Zeroing the structure sets all the resource attributes types and values +* to the default value. +* +* The version and size field are used by the Tools Extension +* implementation to handle multiple versions of the attributes structure. +* +* It is recommended that the caller use one of the following to methods +* to initialize the event attributes structure: +* +* \par Method 1: Initializing nvtxEventAttributes for future compatibility +* \code +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* \endcode +* +* \par Method 2: Initializing nvtxEventAttributes for a specific version +* \code +* nvtxResourceAttributes_v0 attribs = {0}; +* attribs.version = 2; +* attribs.size = (uint16_t)(sizeof(nvtxResourceAttributes_v0)); +* \endcode +* +* If the caller uses Method 1 it is critical that the entire binary +* layout of the structure be configured to 0 so that all fields +* are initialized to the default value. +* +* The caller should either use both NVTX_VERSION and +* NVTX_RESOURCE_ATTRIB_STRUCT_SIZE (Method 1) or use explicit values +* and a versioned type (Method 2). Using a mix of the two methods +* will likely cause either source level incompatibility or binary +* incompatibility in the future. +* +* \par Settings Attribute Types and Values +* +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* +* // Initialize +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* +* // Configure the Attributes +* attribs.identifierType = NVTX_RESOURCE_TYPE_GENERIC_POINTER; +* attribs.identifier.pValue = (const void*)pMutex; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Single thread access to database."; +* +* nvtxResourceHandle_t handle = nvtxDomainResourceCreate(domain, attribs); +* \endcode +* +* \sa +* ::nvtxDomainResourceCreate +*/ +typedef struct nvtxResourceAttributes_v0 +{ + /** + * \brief Version flag of the structure. + * + * Needs to be set to NVTX_VERSION to indicate the version of NVTX APIs + * supported in this header file. This can optionally be overridden to + * another version of the tools extension library. + */ + uint16_t version; + + /** + * \brief Size of the structure. + * + * Needs to be set to the size in bytes of this attribute + * structure. + */ + uint16_t size; + + /** + * \brief Identifier type specifies how to interpret the identifier field + * + * Defines the identifier format of the attribute structure's \ref RESOURCE_IDENTIFIER_FIELD + * "identifier" field. + * + * Default Value is NVTX_RESOURCE_TYPE_UNKNOWN + */ + int32_t identifierType; /* values from enums following the pattern nvtxResource[name]Type_t */ + + /** + * \brief Identifier for the resource. + * \anchor RESOURCE_IDENTIFIER_FIELD + * + * An identifier may be a pointer or a handle to an OS or middleware API object. + * The resource type will assist in avoiding collisions where handles values may collide. + */ + union identifier_t + { + const void* pValue; + uint64_t ullValue; + } identifier; + + /** \brief Message type specified in this attribute structure. + * + * Defines the message format of the attribute structure's \ref RESOURCE_MESSAGE_FIELD + * "message" field. + * + * Default Value is NVTX_MESSAGE_UNKNOWN + */ + int32_t messageType; /* nvtxMessageType_t */ + + /** \brief Message assigned to this attribute structure. \anchor RESOURCE_MESSAGE_FIELD + * + * The text message that is attached to a resource. + */ + nvtxMessageValue_t message; + +} nvtxResourceAttributes_v0; + +typedef struct nvtxResourceAttributes_v0 nvtxResourceAttributes_t; + +/* \cond SHOW_HIDDEN +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_ATTRIB_STRUCT_SIZE ( (uint16_t)( sizeof(nvtxResourceAttributes_v0) ) ) +typedef struct nvtxResourceHandle* nvtxResourceHandle_t; +/** \endcond */ + + + +/* ------------------------------------------------------------------------- */ +/** \brief Create a resource object to track and associate data with OS and middleware objects +* +* Allows users to associate an API handle or pointer with a user-provided name. +* +* +* \param domain - Domain to own the resource object +* \param attribs - Attributes to be associated with the resource +* +* \return A handle that represents the newly created resource object. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* attribs.identifierType = NVTX_RESOURCE_TYPE_GENERIC_POINTER; +* attribs.identifier.pValue = (const void*)pMutex; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Single thread access to database."; +* nvtxResourceHandle_t handle = nvtxDomainResourceCreate(domain, attribs); +* \endcode +* +* \sa +* ::nvtxResourceAttributes_t +* ::nvtxDomainResourceDestroy +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxResourceHandle_t NVTX_API nvtxDomainResourceCreate(nvtxDomainHandle_t domain, nvtxResourceAttributes_t* attribs); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Destroy a resource object to track and associate data with OS and middleware objects +* +* Allows users to associate an API handle or pointer with a user-provided name. +* +* \param resource - Handle to the resource in which to operate. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* attribs.identifierType = NVTX_RESOURCE_TYPE_GENERIC_POINTER; +* attribs.identifier.pValue = (const void*)pMutex; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Single thread access to database."; +* nvtxResourceHandle_t handle = nvtxDomainResourceCreate(domain, attribs); +* nvtxDomainResourceDestroy(handle); +* \endcode +* +* \sa +* ::nvtxDomainResourceCreate +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainResourceDestroy(nvtxResourceHandle_t resource); +/** @} */ + + +/** \name Functions for NVTX Category Naming*/ + +/* ------------------------------------------------------------------------- */ +/** +* \brief Annotate an NVTX category used within a domain. +* +* Categories are used to group sets of events. Each category is identified +* through a unique ID and that ID is passed into any of the marker/range +* events to assign that event to a specific category. The nvtxDomainNameCategory +* function calls allow the user to assign a name to a category ID that is +* specific to the domain. +* +* nvtxDomainNameCategory(NULL, category, name) is equivalent to calling +* nvtxNameCategory(category, name). +* +* \param domain - The domain of scoping the category. +* \param category - The category ID to name. +* \param name - The name of the category. +* +* \remarks The category names are tracked per domain. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example"); +* nvtxDomainNameCategoryA(domain, 1, "Memory Allocation"); +* nvtxDomainNameCategoryW(domain, 2, L"Memory Transfer"); +* \endcode +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainNameCategoryA(nvtxDomainHandle_t domain, uint32_t category, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxDomainNameCategoryW(nvtxDomainHandle_t domain, uint32_t category, const wchar_t* name); +/** @} */ + +/** \brief Annotate an NVTX category. + * + * Categories are used to group sets of events. Each category is identified + * through a unique ID and that ID is passed into any of the marker/range + * events to assign that event to a specific category. The nvtxNameCategory + * function calls allow the user to assign a name to a category ID. + * + * \param category - The category ID to name. + * \param name - The name of the category. + * + * \remarks The category names are tracked per process. + * + * \par Example: + * \code + * nvtxNameCategory(1, "Memory Allocation"); + * nvtxNameCategory(2, "Memory Transfer"); + * nvtxNameCategory(3, "Memory Object Lifetime"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCategoryA(uint32_t category, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCategoryW(uint32_t category, const wchar_t* name); +/** @} */ + +/** \name Functions for OS Threads Naming*/ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotate an OS thread. + * + * Allows the user to name an active thread of the current process. If an + * invalid thread ID is provided or a thread ID from a different process is + * used the behavior of the tool is implementation dependent. + * + * The thread name is associated to the default domain. To support domains + * use resource objects via ::nvtxDomainResourceCreate. + * + * \param threadId - The ID of the thread to name. + * \param name - The name of the thread. + * + * \par Example: + * \code + * nvtxNameOsThread(GetCurrentThreadId(), "MAIN_THREAD"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameOsThreadA(uint32_t threadId, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameOsThreadW(uint32_t threadId, const wchar_t* name); +/** @} */ + + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup STRING_REGISTRATION String Registration +* +* Registered strings are intended to increase performance by lowering instrumentation +* overhead. String may be registered once and the handle may be passed in place of +* a string where an the APIs may allow. +* +* See \ref STRING_REGISTRATION for more details +* +* @{ +*/ + +/* ------------------------------------------------------------------------- */ +/** \brief Register a string. + +* Registers an immutable string with NVTX. Once registered the pointer used +* to register the domain name can be used in nvtxEventAttributes_t +* \ref MESSAGE_FIELD. This allows NVTX implementation to skip copying the +* contents of the message on each event invocation. +* +* String registration is an optimization. It is recommended to use string +* registration if the string will be passed to an event many times. +* +* String are not unregistered, except that by unregistering the entire domain +* +* \param domain - Domain handle. If NULL then the global domain is used. +* \param string - A unique pointer to a sequence of characters. +* +* \return A handle representing the registered string. +* +* \par Example: +* \code +* nvtxDomainCreateA("com.nvidia.nvtx.example"); +* nvtxStringHandle_t message = nvtxDomainRegisterStringA(domain, "registered string"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_REGISTERED; +* eventAttrib.message.registered = message; +* \endcode +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxStringHandle_t NVTX_API nvtxDomainRegisterStringA(nvtxDomainHandle_t domain, const char* string); +NVTX_DECLSPEC nvtxStringHandle_t NVTX_API nvtxDomainRegisterStringW(nvtxDomainHandle_t domain, const wchar_t* string); +/** @} */ + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup DOMAINS Domains +* +* Domains are used to group events to a developer defined scope. Middleware +* vendors may also scope their own events to avoid collisions with the +* the application developer's events, so that the application developer may +* inspect both parts and easily differentiate or filter them. By default +* all events are scoped to a global domain where NULL is provided or when +* using APIs provided b versions of NVTX below v2 +* +* Domains are intended to be typically long lived objects with the intention +* of logically separating events of large modules from each other such as +* middleware libraries from each other and the main application. +* +* See \ref DOMAINS for more details +* +* @{ +*/ + +/* ------------------------------------------------------------------------- */ +/** \brief Register a NVTX domain. +* +* Domains are used to scope annotations. All NVTX_VERSION_0 and NVTX_VERSION_1 +* annotations are scoped to the global domain. The function nvtxDomainCreate +* creates a new named domain. +* +* Each domain maintains its own nvtxRangePush and nvtxRangePop stack. +* +* \param name - A unique string representing the domain. +* +* \return A handle representing the domain. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("com.nvidia.nvtx.example"); +* +* nvtxMarkA("nvtxMarkA to global domain"); +* +* nvtxEventAttributes_t eventAttrib1 = {0}; +* eventAttrib1.version = NVTX_VERSION; +* eventAttrib1.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib1.message.ascii = "nvtxDomainMarkEx to global domain"; +* nvtxDomainMarkEx(NULL, &eventAttrib1); +* +* nvtxEventAttributes_t eventAttrib2 = {0}; +* eventAttrib2.version = NVTX_VERSION; +* eventAttrib2.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib2.message.ascii = "nvtxDomainMarkEx to com.nvidia.nvtx.example"; +* nvtxDomainMarkEx(domain, &eventAttrib2); +* nvtxDomainDestroy(domain); +* \endcode +* +* \sa +* ::nvtxDomainDestroy +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxDomainHandle_t NVTX_API nvtxDomainCreateA(const char* name); +NVTX_DECLSPEC nvtxDomainHandle_t NVTX_API nvtxDomainCreateW(const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Unregister a NVTX domain. +* +* Unregisters the domain handle and frees all domain specific resources. +* +* \param domain - the domain handle +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("com.nvidia.nvtx.example"); +* nvtxDomainDestroy(domain); +* \endcode +* +* \sa +* ::nvtxDomainCreateA +* ::nvtxDomainCreateW +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainDestroy(nvtxDomainHandle_t domain); +/** @} */ + + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \cond SHOW_HIDDEN */ + +#ifdef UNICODE + #define nvtxMark nvtxMarkW + #define nvtxRangeStart nvtxRangeStartW + #define nvtxRangePush nvtxRangePushW + #define nvtxNameCategory nvtxNameCategoryW + #define nvtxNameOsThread nvtxNameOsThreadW + /* NVTX_VERSION_2 */ + #define nvtxDomainCreate nvtxDomainCreateW + #define nvtxDomainRegisterString nvtxDomainRegisterStringW + #define nvtxDomainNameCategory nvtxDomainNameCategoryW +#else + #define nvtxMark nvtxMarkA + #define nvtxRangeStart nvtxRangeStartA + #define nvtxRangePush nvtxRangePushA + #define nvtxNameCategory nvtxNameCategoryA + #define nvtxNameOsThread nvtxNameOsThreadA + /* NVTX_VERSION_2 */ + #define nvtxDomainCreate nvtxDomainCreateA + #define nvtxDomainRegisterString nvtxDomainRegisterStringA + #define nvtxDomainNameCategory nvtxDomainNameCategoryA +#endif + +/** \endcond */ + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#endif /* NVTOOLSEXT_H_ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtCuda.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtCuda.h new file mode 100644 index 0000000000000000000000000000000000000000..d2017d54458b7798da17029212c735d69f4b71a8 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtCuda.h @@ -0,0 +1,164 @@ +/* +* Copyright 2009-2017 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTOOLSEXT_CUDA_H_ +#define NVTOOLSEXT_CUDA_H_ + +#include "cuda.h" + +#include "nvToolsExt.h" + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* ========================================================================= */ +/** \name Functions for CUDA Resource Naming +*/ +/** \addtogroup RESOURCE_NAMING + * \section RESOURCE_NAMING_CUDA CUDA Resource Naming + * + * This section covers the API functions that allow to annotate CUDA resources + * with user-provided names. + * + * @{ + */ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_CUDA 4 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Resource types for CUDA +*/ +typedef enum nvtxResourceCUDAType_t +{ + NVTX_RESOURCE_TYPE_CUDA_DEVICE = NVTX_RESOURCE_MAKE_TYPE(CUDA, 1), /* CUdevice */ + NVTX_RESOURCE_TYPE_CUDA_CONTEXT = NVTX_RESOURCE_MAKE_TYPE(CUDA, 2), /* CUcontext */ + NVTX_RESOURCE_TYPE_CUDA_STREAM = NVTX_RESOURCE_MAKE_TYPE(CUDA, 3), /* CUstream */ + NVTX_RESOURCE_TYPE_CUDA_EVENT = NVTX_RESOURCE_MAKE_TYPE(CUDA, 4) /* CUevent */ +} nvtxResourceCUDAType_t; + + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA device. + * + * Allows the user to associate a CUDA device with a user-provided name. + * + * \param device - The handle of the CUDA device to name. + * \param name - The name of the CUDA device. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuDeviceA(CUdevice device, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuDeviceW(CUdevice device, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA context. + * + * Allows the user to associate a CUDA context with a user-provided name. + * + * \param context - The handle of the CUDA context to name. + * \param name - The name of the CUDA context. + * + * \par Example: + * \code + * CUresult status = cuCtxCreate( &cuContext, 0, cuDevice ); + * if ( CUDA_SUCCESS != status ) + * goto Error; + * nvtxNameCuContext(cuContext, "CTX_NAME"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuContextA(CUcontext context, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuContextW(CUcontext context, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA stream. + * + * Allows the user to associate a CUDA stream with a user-provided name. + * + * \param stream - The handle of the CUDA stream to name. + * \param name - The name of the CUDA stream. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuStreamA(CUstream stream, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuStreamW(CUstream stream, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA event. + * + * Allows the user to associate a CUDA event with a user-provided name. + * + * \param event - The handle of the CUDA event to name. + * \param name - The name of the CUDA event. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuEventA(CUevent event, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuEventW(CUevent event, const wchar_t* name); +/** @} */ + +/** @} */ /* END RESOURCE_NAMING */ + +/* ========================================================================= */ +#ifdef UNICODE + #define nvtxNameCuDevice nvtxNameCuDeviceW + #define nvtxNameCuContext nvtxNameCuContextW + #define nvtxNameCuStream nvtxNameCuStreamW + #define nvtxNameCuEvent nvtxNameCuEventW +#else + #define nvtxNameCuDevice nvtxNameCuDeviceA + #define nvtxNameCuContext nvtxNameCuContextA + #define nvtxNameCuStream nvtxNameCuStreamA + #define nvtxNameCuEvent nvtxNameCuEventA +#endif + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#endif /* NVTOOLSEXT_CUDA_H_ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtCudaRt.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtCudaRt.h new file mode 100644 index 0000000000000000000000000000000000000000..5af4cebe4e6e19968204bd82fb76bc03840506ae --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtCudaRt.h @@ -0,0 +1,140 @@ +/* +* Copyright 2009-2017 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTOOLSEXT_CUDART_H_ +#define NVTOOLSEXT_CUDART_H_ + +#include "cuda.h" +#include "driver_types.h" + +#include "nvToolsExt.h" + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* ========================================================================= */ +/** \name Functions for CUDA Resource Naming +*/ +/** \addtogroup RESOURCE_NAMING + * \section RESOURCE_NAMING_CUDART CUDA Runtime Resource Naming + * + * This section covers the API functions that allow to annotate CUDA resources + * with user-provided names. + * + * @{ + */ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_CUDART 5 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Resource types for CUDART +*/ +typedef enum nvtxResourceCUDARTType_t +{ + NVTX_RESOURCE_TYPE_CUDART_DEVICE = NVTX_RESOURCE_MAKE_TYPE(CUDART, 0), /* int device */ + NVTX_RESOURCE_TYPE_CUDART_STREAM = NVTX_RESOURCE_MAKE_TYPE(CUDART, 1), /* cudaStream_t */ + NVTX_RESOURCE_TYPE_CUDART_EVENT = NVTX_RESOURCE_MAKE_TYPE(CUDART, 2) /* cudaEvent_t */ +} nvtxResourceCUDARTType_t; + + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA device. + * + * Allows the user to associate a CUDA device with a user-provided name. + * + * \param device - The id of the CUDA device to name. + * \param name - The name of the CUDA device. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCudaDeviceA(int device, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCudaDeviceW(int device, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA stream. + * + * Allows the user to associate a CUDA stream with a user-provided name. + * + * \param stream - The handle of the CUDA stream to name. + * \param name - The name of the CUDA stream. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCudaStreamA(cudaStream_t stream, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCudaStreamW(cudaStream_t stream, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA event. + * + * Allows the user to associate a CUDA event with a user-provided name. + * + * \param event - The handle of the CUDA event to name. + * \param name - The name of the CUDA event. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCudaEventA(cudaEvent_t event, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCudaEventW(cudaEvent_t event, const wchar_t* name); +/** @} */ + +/** @} */ /* END RESOURCE_NAMING */ + +/* ========================================================================= */ +#ifdef UNICODE + #define nvtxNameCudaDevice nvtxNameCudaDeviceW + #define nvtxNameCudaStream nvtxNameCudaStreamW + #define nvtxNameCudaEvent nvtxNameCudaEventW +#else + #define nvtxNameCudaDevice nvtxNameCudaDeviceA + #define nvtxNameCudaStream nvtxNameCudaStreamA + #define nvtxNameCudaEvent nvtxNameCudaEventA +#endif + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#endif /* NVTOOLSEXT_CUDART_H_ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtOpenCL.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtOpenCL.h new file mode 100644 index 0000000000000000000000000000000000000000..e826610a405a2c32eda5a851f7930b7b3feeb323 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtOpenCL.h @@ -0,0 +1,214 @@ +/* +* Copyright 2009-2017 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTOOLSEXT_OPENCL_H_ +#define NVTOOLSEXT_OPENCL_H_ + +#include + +#include "nvToolsExt.h" + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* ========================================================================= */ +/** \name Functions for OpenCL Resource Naming + */ +/** \addtogroup RESOURCE_NAMING + * \section RESOURCE_NAMING_OPENCL OpenCL Resource Naming + * + * This section covers the API functions that allow to annotate OpenCL resources + * with user-provided names. + * + * @{ + */ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_OPENCL 6 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Resource types for OpenCL +*/ +typedef enum nvtxResourceOpenCLType_t +{ + NVTX_RESOURCE_TYPE_OPENCL_DEVICE = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 1), + NVTX_RESOURCE_TYPE_OPENCL_CONTEXT = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 2), + NVTX_RESOURCE_TYPE_OPENCL_COMMANDQUEUE = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 3), + NVTX_RESOURCE_TYPE_OPENCL_MEMOBJECT = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 4), + NVTX_RESOURCE_TYPE_OPENCL_SAMPLER = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 5), + NVTX_RESOURCE_TYPE_OPENCL_PROGRAM = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 6), + NVTX_RESOURCE_TYPE_OPENCL_EVENT = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 7) +} nvtxResourceOpenCLType_t; + + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL device. + * + * Allows to associate an OpenCL device with a user-provided name. + * + * \param device - The handle of the OpenCL device to name. + * \param name - The name of the OpenCL device. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClDeviceA(cl_device_id device, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClDeviceW(cl_device_id device, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL context. + * + * Allows to associate an OpenCL context with a user-provided name. + * + * \param context - The handle of the OpenCL context to name. + * \param name - The name of the OpenCL context. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClContextA(cl_context context, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClContextW(cl_context context, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL command queue. + * + * Allows to associate an OpenCL command queue with a user-provided name. + * + * \param command_queue - The handle of the OpenCL command queue to name. + * \param name - The name of the OpenCL command queue. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClCommandQueueA(cl_command_queue command_queue, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClCommandQueueW(cl_command_queue command_queue, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL memory object. + * + * Allows to associate an OpenCL memory object with a user-provided name. + * + * \param memobj - The handle of the OpenCL memory object to name. + * \param name - The name of the OpenCL memory object. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClMemObjectA(cl_mem memobj, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClMemObjectW(cl_mem memobj, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL sampler. + * + * Allows to associate an OpenCL sampler with a user-provided name. + * + * \param sampler - The handle of the OpenCL sampler to name. + * \param name - The name of the OpenCL sampler. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClSamplerA(cl_sampler sampler, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClSamplerW(cl_sampler sampler, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL program. + * + * Allows to associate an OpenCL program with a user-provided name. + * + * \param program - The handle of the OpenCL program to name. + * \param name - The name of the OpenCL program. + * + * \code + * cpProgram = clCreateProgramWithSource(cxGPUContext, 1, + * (const char **) &cSourceCL, &program_length, &ciErrNum); + * shrCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); + * nvtxNameClProgram(cpProgram, L"PROGRAM_NAME"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClProgramA(cl_program program, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClProgramW(cl_program program, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL event. + * + * Allows to associate an OpenCL event with a user-provided name. + * + * \param evnt - The handle of the OpenCL event to name. + * \param name - The name of the OpenCL event. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClEventA(cl_event evnt, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClEventW(cl_event evnt, const wchar_t* name); +/** @} */ + +/** @} */ /* END RESOURCE_NAMING */ + +/* ========================================================================= */ +#ifdef UNICODE + #define nvtxNameClDevice nvtxNameClDeviceW + #define nvtxNameClContext nvtxNameClContextW + #define nvtxNameClCommandQueue nvtxNameClCommandQueueW + #define nvtxNameClMemObject nvtxNameClMemObjectW + #define nvtxNameClSampler nvtxNameClSamplerW + #define nvtxNameClProgram nvtxNameClProgramW + #define nvtxNameClEvent nvtxNameClEventW +#else + #define nvtxNameClDevice nvtxNameClDeviceA + #define nvtxNameClContext nvtxNameClContextA + #define nvtxNameClCommandQueue nvtxNameClCommandQueueA + #define nvtxNameClMemObject nvtxNameClMemObjectA + #define nvtxNameClSampler nvtxNameClSamplerA + #define nvtxNameClProgram nvtxNameClProgramA + #define nvtxNameClEvent nvtxNameClEventA +#endif + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#endif /* NVTOOLSEXT_OPENCL_H_ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtSync.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtSync.h new file mode 100644 index 0000000000000000000000000000000000000000..933e60b6943cbdb08975b67d39764cc97658a5fd --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvToolsExtSync.h @@ -0,0 +1,406 @@ +/* +* Copyright 2009-2017 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTOOLSEXT_SYNC_H_ +#define NVTOOLSEXT_SYNC_H_ + +#include "nvToolsExt.h" + + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* \cond SHOW_HIDDEN +* \version \NVTX_VERSION_2 +*/ +#define NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE ( (uint16_t)( sizeof(nvtxSyncUserAttributes_v0) ) ) +/** \endcond */ + + +/** +* \page PAGE_SYNCHRONIZATION Synchronization +* +* This section covers a subset of the API that allow users to track additional +* synchronization details of their application. Naming OS synchronization primitives +* may allow users to better understand the data collected by traced synchronization +* APIs. Additionally, a user defined synchronization object can allow the users to +* to tell the tools when the user is building their own synchronization system +* that do not rely on the OS to provide behaviors and instead use techniques like +* atomic operations and spinlocks. +* +* See module \ref SYNCHRONIZATION for details. +* +* \par Example: +* \code +* class MyMutex +* { +* volatile long bLocked; +* nvtxSyncUser_t hSync; +* public: +* MyMutex(const char* name, nvtxDomainHandle_t d){ +* bLocked = 0; +* +* nvtxSyncUserAttributes_t attribs = { 0 }; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = name; +* hSync = nvtxDomainSyncUserCreate(d, &attribs); +* } +* +* ~MyMutex() { +* nvtxDomainSyncUserDestroy(hSync); +* } +* +* bool Lock() { +* nvtxDomainSyncUserAcquireStart(hSync); +* bool acquired = __sync_bool_compare_and_swap(&bLocked, 0, 1);//atomic compiler intrinsic + +* if (acquired) { +* nvtxDomainSyncUserAcquireSuccess(hSync); +* } +* else { +* nvtxDomainSyncUserAcquireFailed(hSync); +* } +* return acquired; +* } + +* void Unlock() { +* nvtxDomainSyncUserReleasing(hSync); +* bLocked = false; +* } +* }; +* \endcode +* +* \version \NVTX_VERSION_2 +*/ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_SYNC_OS 2 /**< Synchronization objects that are OS specific. */ +#define NVTX_RESOURCE_CLASS_SYNC_PTHREAD 3 /**< Synchronization objects that are from the POSIX Threads API (pthread)*/ +/** \endcond */ + + +/* ------------------------------------------------------------------------- */ +/** \defgroup SYNCHRONIZATION Synchronization +* See page \ref PAGE_SYNCHRONIZATION. +* @{ +*/ + +/** \brief Resource type values for OSs with POSIX Thread API support + */ +typedef enum nvtxResourceSyncPosixThreadType_t +{ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_MUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 1), /* pthread_mutex_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_CONDITION = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 2), /* pthread_cond_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_RWLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 3), /* pthread_rwlock_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_BARRIER = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 4), /* pthread_barrier_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_SPINLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 5), /* pthread_spinlock_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_ONCE = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 6) /* pthread_once_t */ +} nvtxResourceSyncPosixThreadType_t; + +/** \brief Resource type values for Windows OSs +*/ +typedef enum nvtxResourceSyncWindowsType_t +{ + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_MUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 1), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_SEMAPHORE = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 2), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_EVENT = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 3), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_CRITICAL_SECTION = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 4), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_SRWLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 5) +} nvtxResourceSyncWindowsType_t; + +/** \brief Resource type values for Linux and Linux derived OSs such as Android +* \sa +* ::nvtxResourceSyncPosixThreadType_t +*/ +typedef enum nvtxResourceSyncLinuxType_t +{ + NVTX_RESOURCE_TYPE_SYNC_LINUX_MUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 1), + NVTX_RESOURCE_TYPE_SYNC_LINUX_FUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 2), + NVTX_RESOURCE_TYPE_SYNC_LINUX_SEMAPHORE = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 3), + NVTX_RESOURCE_TYPE_SYNC_LINUX_COMPLETION = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 4), + NVTX_RESOURCE_TYPE_SYNC_LINUX_SPINLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 5), + NVTX_RESOURCE_TYPE_SYNC_LINUX_SEQLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 6), + NVTX_RESOURCE_TYPE_SYNC_LINUX_RCU = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 7) +} nvtxResourceSyncLinuxType_t; + +/** \brief Resource type values for Android come from Linux. +* \sa +* ::nvtxResourceSyncLinuxType_t +* ::nvtxResourceSyncPosixThreadType_t +*/ +typedef enum nvtxResourceSyncLinuxType_t nvtxResourceSyncAndroidType_t; + +/** \brief User Defined Synchronization Object Handle . +* \anchor SYNCUSER_HANDLE_STRUCTURE +* +* This structure is opaque to the user and is used as a handle to reference +* a user defined syncrhonization object. The tools will return a pointer through the API for the application +* to hold on it's behalf to reference the string in the future. +* +*/ +typedef struct nvtxSyncUser* nvtxSyncUser_t; + +/** \brief User Defined Synchronization Object Attributes Structure. +* \anchor USERDEF_SYNC_ATTRIBUTES_STRUCTURE +* +* This structure is used to describe the attributes of a user defined synchronization +* object. The layout of the structure is defined by a specific version of the tools +* extension library and can change between different versions of the Tools Extension +* library. +* +* \par Initializing the Attributes +* +* The caller should always perform the following three tasks when using +* attributes: +*
    +*
  • Zero the structure +*
  • Set the version field +*
  • Set the size field +*
+* +* Zeroing the structure sets all the event attributes types and values +* to the default value. +* +* The version and size field are used by the Tools Extension +* implementation to handle multiple versions of the attributes structure. +* +* It is recommended that the caller use one of the following to methods +* to initialize the event attributes structure: +* +* \par Method 1: Initializing nvtxEventAttributes for future compatibility +* \code +* nvtxSyncUserAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE; +* \endcode +* +* \par Method 2: Initializing nvtxSyncUserAttributes_t for a specific version +* \code +* nvtxSyncUserAttributes_t attribs = {0}; +* attribs.version = 1; +* attribs.size = (uint16_t)(sizeof(nvtxSyncUserAttributes_t)); +* \endcode +* +* If the caller uses Method 1 it is critical that the entire binary +* layout of the structure be configured to 0 so that all fields +* are initialized to the default value. +* +* The caller should either use both NVTX_VERSION and +* NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE (Method 1) or use explicit values +* and a versioned type (Method 2). Using a mix of the two methods +* will likely cause either source level incompatibility or binary +* incompatibility in the future. +* +* \par Settings Attribute Types and Values +* +* +* \par Example: +* \code +* // Initialize +* nvtxSyncUserAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE; +* +* // Configure the Attributes +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Example"; +* \endcode +* +* \sa +* ::nvtxDomainSyncUserCreate +*/ +typedef struct nvtxSyncUserAttributes_v0 +{ + /** + * \brief Version flag of the structure. + * + * Needs to be set to NVTX_VERSION to indicate the version of NVTX APIs + * supported in this header file. This can optionally be overridden to + * another version of the tools extension library. + */ + uint16_t version; + + /** + * \brief Size of the structure. + * + * Needs to be set to the size in bytes of the event attribute + * structure used to specify the event. + */ + uint16_t size; + + /** \brief Message type specified in this attribute structure. + * + * Defines the message format of the attribute structure's \ref nvtxSyncUserAttributes_v0::message + * "message" field. + * + * Default Value is NVTX_MESSAGE_UNKNOWN + */ + int32_t messageType; /* nvtxMessageType_t */ + + /** \brief Message assigned to this attribute structure. + * + * The text message that is attached to an event. + */ + nvtxMessageValue_t message; + +} nvtxSyncUserAttributes_v0; + +typedef struct nvtxSyncUserAttributes_v0 nvtxSyncUserAttributes_t; + +/* ------------------------------------------------------------------------- */ +/** \brief Create a user defined synchronization object +* This is used to track non-OS synchronization working with spinlocks and atomics +* +* \param domain - Domain to own the resource +* \param attribs - A structure to assign multiple attributes to the object. +* +* \return A handle that represents the newly created user defined synchronization object. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC nvtxSyncUser_t NVTX_API nvtxDomainSyncUserCreate(nvtxDomainHandle_t domain, const nvtxSyncUserAttributes_t* attribs); + +/* ------------------------------------------------------------------------- */ +/** \brief Destroy a user defined synchronization object +* This is used to track non-OS synchronization working with spinlocks and atomics +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserDestroy(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools that an attempt to acquire a user defined synchronization object +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireStart(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools of failure in acquiring a user defined synchronization object +* This should be called after \ref nvtxDomainSyncUserAcquireStart +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireFailed(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools of success in acquiring a user defined synchronization object +* This should be called after \ref nvtxDomainSyncUserAcquireStart. +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireSuccess(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools of releasing a reservation on user defined synchronization object +* This should be called after \ref nvtxDomainSyncUserAcquireSuccess. +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserReleasing(nvtxSyncUser_t handle); + + +/** @} */ /*END defgroup*/ + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#endif /* NVTOOLSEXT_SYNC_H_ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExt.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExt.h new file mode 100644 index 0000000000000000000000000000000000000000..9fab7d874340fad50d63d80b6b68f678ec243191 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExt.h @@ -0,0 +1,1499 @@ +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +/** \file nvToolsExt.h + */ + +/* ========================================================================= */ +/** \mainpage + * \tableofcontents + * \section INTRODUCTION Introduction + * + * The NVIDIA Tools Extension library is a set of functions that a + * developer can use to provide additional information to tools. + * The additional information is used by the tool to improve + * analysis and visualization of data. + * + * The library introduces close to zero overhead if no tool is + * attached to the application. The overhead when a tool is + * attached is specific to the tool. + * + * \section INITIALIZATION_SECTION Initialization + * + * Typically the tool's library that plugs into NVTX is indirectly + * loaded via enviromental properties that are platform specific. + * For some platform or special cases, the user may be required + * to instead explicity initialize instead though. This can also + * be helpful to control when the API loads a tool's library instead + * of what would typically be the first function call to emit info. + * For these rare case, see \ref INITIALIZATION for additional information. + * + * \section MARKERS_AND_RANGES Markers and Ranges + * + * Markers and ranges are used to describe events at a specific time (markers) + * or over a time span (ranges) during the execution of the application + * respectively. + * + * \subsection MARKERS Markers + * + * Markers denote specific moments in time. + * + * + * See \ref DOMAINS and \ref EVENT_ATTRIBUTES for additional information on + * how to specify the domain. + * + * \subsection THREAD_RANGES Thread Ranges + * + * Thread ranges denote nested time ranges. Nesting is maintained per thread + * per domain and does not require any additional correlation mechanism. The + * duration of a thread range is defined by the corresponding pair of + * nvtxRangePush* to nvtxRangePop API calls. + * + * See \ref DOMAINS and \ref EVENT_ATTRIBUTES for additional information on + * how to specify the domain. + * + * \subsection PROCESS_RANGES Process Ranges + * + * Process ranges denote a time span that can expose arbitrary concurrency, as + * opposed to thread ranges that only support nesting. In addition the range + * start event can happen on a different thread than the end marker. For the + * correlation of a start/end pair an unique correlation ID is used that is + * returned from the start API call and needs to be passed into the end API + * call. + * + * \subsection EVENT_ATTRIBUTES Event Attributes + * + * \ref MARKERS_AND_RANGES can be annotated with various attributes to provide + * additional information for an event or to guide the tool's visualization of + * the data. Each of the attributes is optional and if left unused the + * attributes fall back to a default value. The attributes include: + * - color + * - category + * + * To specify any attribute other than the text message, the \ref + * EVENT_ATTRIBUTE_STRUCTURE "Event Attribute Structure" must be used. + * + * \section DOMAINS Domains + * + * Domains enable developers to scope annotations. By default all events and + * annotations are in the default domain. Additional domains can be registered. + * This allows developers to scope markers, ranges, and resources names to + * avoid conflicts. + * + * The function ::nvtxDomainCreateA or ::nvtxDomainCreateW is used to create + * a named domain. + * + * Each domain maintains its own + * - categories + * - thread range stacks + * - registered strings + * + * The function ::nvtxDomainDestroy marks the end of the domain. Destroying + * a domain unregisters and destroys all objects associated with it such as + * registered strings, resource objects, named categories, and started ranges. + * + * \section RESOURCE_NAMING Resource Naming + * + * This section covers calls that allow to annotate objects with user-provided + * names in order to allow for a better analysis of complex trace data. All of + * the functions take the handle or the ID of the object to name and the name. + * The functions can be called multiple times during the execution of an + * application, however, in that case it is implementation dependent which + * name will be reported by the tool. + * + * \subsection CATEGORY_NAMING Category Naming + * + * Some function in this library support associating an integer category + * to enable filtering and sorting. The category naming functions allow + * the application to associate a user friendly name with the integer + * category. Support for domains have been added in NVTX_VERSION_2 to + * avoid collisions when domains are developed independantly. + * + * \subsection RESOURCE_OBJECTS Resource Objects + * + * Resource objects are a generic mechanism for attaching data to an application + * resource. The identifier field makes the association to a pointer or handle, + * while the type field helps provide deeper understanding of the identifier as + * well as enabling differentiation in cases where handles generated by different + * APIs may collide. The resource object may also have an associated message to + * associate with the application resource, enabling further annotation of this + * object and how it is used. + * + * The resource object was introduced in NVTX_VERSION_2 to supersede existing naming + * functions and allow the application resource identified by those functions to be + * associated to a domain. The other naming functions are still supported for backward + * compatibility but will be associated only to the default domain. + * + * \subsection RESOURCE_NAMING_OS Resource Naming + * + * Some operating system resources creation APIs do not support providing a user friendly + * name, such as some OS thread creation APIs. This API support resource naming though + * both through resource objects and functions following the pattern + * nvtxName[RESOURCE_TYPE][A|W](identifier, name). Resource objects introduced in NVTX_VERSION 2 + * supersede the other functions with a a more general method of assigning names to OS resources, + * along with associating them to domains too. The older nvtxName* functions are only associated + * with the default domain. + * \section EXTENSIONS Optional Extensions + * Optional extensions will either appear within the existing sections the extend or appear + * in the "Related Pages" when they introduce new concepts. + */ + + /** + * Tools Extension API version + */ +#if defined(NVTX_VERSION) && NVTX_VERSION < 3 +#error "Trying to #include NVTX version 3 in a source file where an older NVTX version has already been included. If you are not directly using NVTX (the NVIDIA Tools Extension library), you are getting this error because libraries you are using have included different versions of NVTX. Suggested solutions are: (1) reorder #includes so the newest NVTX version is included first, (2) avoid using the conflicting libraries in the same .c/.cpp file, or (3) update the library using the older NVTX version to use the newer version instead." +#endif + +/* Header guard */ +#if !defined(NVTX_VERSION) +#define NVTX_VERSION 3 + +#if defined(_MSC_VER) +#define NVTX_API __stdcall +#define NVTX_INLINE_STATIC __inline static +#else /*defined(__GNUC__)*/ +#define NVTX_API +#define NVTX_INLINE_STATIC inline static +#endif /* Platform */ + +#if defined(NVTX_NO_IMPL) +/* When omitting implementation, avoid declaring functions inline */ +/* without definitions, since this causes compiler warnings. */ +#define NVTX_DECLSPEC +#elif defined(NVTX_EXPORT_API) +/* Allow overriding definition of NVTX_DECLSPEC when exporting API. */ +/* Default is empty, meaning non-inline with external linkage. */ +#if !defined(NVTX_DECLSPEC) +#define NVTX_DECLSPEC +#endif +#else +/* Normal NVTX usage defines the NVTX API inline with static */ +/* (internal) linkage. */ +#define NVTX_DECLSPEC NVTX_INLINE_STATIC +#endif + +#include "nvtxDetail/nvtxLinkOnce.h" + +#define NVTX_VERSIONED_IDENTIFIER_L3(NAME, VERSION) NAME##_v##VERSION +#define NVTX_VERSIONED_IDENTIFIER_L2(NAME, VERSION) NVTX_VERSIONED_IDENTIFIER_L3(NAME, VERSION) +#define NVTX_VERSIONED_IDENTIFIER(NAME) NVTX_VERSIONED_IDENTIFIER_L2(NAME, NVTX_VERSION) + +/** + * The nvToolsExt library depends on stdint.h. If the build tool chain in use + * does not include stdint.h then define NVTX_STDINT_TYPES_ALREADY_DEFINED + * and define the following types: + *
    + *
  • uint8_t + *
  • int8_t + *
  • uint16_t + *
  • int16_t + *
  • uint32_t + *
  • int32_t + *
  • uint64_t + *
  • int64_t + *
  • uintptr_t + *
  • intptr_t + *
+ * #define NVTX_STDINT_TYPES_ALREADY_DEFINED if you are using your own header file. + */ +#ifndef NVTX_STDINT_TYPES_ALREADY_DEFINED +#include +#endif + +#include + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/** +* Result Codes +*/ + +#define NVTX_SUCCESS 0 +#define NVTX_FAIL 1 +#define NVTX_ERR_INIT_LOAD_PROPERTY 2 +#define NVTX_ERR_INIT_ACCESS_LIBRARY 3 +#define NVTX_ERR_INIT_LOAD_LIBRARY 4 +#define NVTX_ERR_INIT_MISSING_LIBRARY_ENTRY_POINT 5 +#define NVTX_ERR_INIT_FAILED_LIBRARY_ENTRY_POINT 6 +#define NVTX_ERR_NO_INJECTION_LIBRARY_AVAILABLE 7 + +/** + * Size of the nvtxEventAttributes_t structure. + */ +#define NVTX_EVENT_ATTRIB_STRUCT_SIZE ( (uint16_t)( sizeof(nvtxEventAttributes_t) ) ) + +#define NVTX_NO_PUSH_POP_TRACKING ((int)-2) + +typedef uint64_t nvtxRangeId_t; + +/* Forward declaration of opaque domain registration structure */ +struct nvtxDomainRegistration_st; +typedef struct nvtxDomainRegistration_st nvtxDomainRegistration; + +/* \brief Domain Handle Structure. +* \anchor DOMAIN_HANDLE_STRUCTURE +* +* This structure is opaque to the user and is used as a handle to reference +* a domain. This type is returned from tools when using the NVTX API to +* create a domain. +* +*/ +typedef nvtxDomainRegistration* nvtxDomainHandle_t; + +/* Forward declaration of opaque string registration structure */ +struct nvtxStringRegistration_st; +typedef struct nvtxStringRegistration_st nvtxStringRegistration; + +/* \brief Registered String Handle Structure. +* \anchor REGISTERED_STRING_HANDLE_STRUCTURE +* +* This structure is opaque to the user and is used as a handle to reference +* a registered string. This type is returned from tools when using the NVTX +* API to create a registered string. +* +*/ +typedef nvtxStringRegistration* nvtxStringHandle_t; + +/* ========================================================================= */ +/** \defgroup GENERAL General + * @{ + */ + +/** --------------------------------------------------------------------------- + * Color Types + * ------------------------------------------------------------------------- */ +typedef enum nvtxColorType_t +{ + NVTX_COLOR_UNKNOWN = 0, /**< Color attribute is unused. */ + NVTX_COLOR_ARGB = 1 /**< An ARGB color is provided. */ +} nvtxColorType_t; + +/** --------------------------------------------------------------------------- + * Message Types + * ------------------------------------------------------------------------- */ +typedef enum nvtxMessageType_t +{ + NVTX_MESSAGE_UNKNOWN = 0, /**< Message payload is unused. */ + NVTX_MESSAGE_TYPE_ASCII = 1, /**< A character sequence is used as payload. */ + NVTX_MESSAGE_TYPE_UNICODE = 2, /**< A wide character sequence is used as payload. */ + /* NVTX_VERSION_2 */ + NVTX_MESSAGE_TYPE_REGISTERED = 3, /**< A unique string handle that was registered + with \ref nvtxDomainRegisterStringA() or + \ref nvtxDomainRegisterStringW(). */ +} nvtxMessageType_t; + +typedef union nvtxMessageValue_t +{ + const char* ascii; + const wchar_t* unicode; + /* NVTX_VERSION_2 */ + nvtxStringHandle_t registered; +} nvtxMessageValue_t; + + +/** @} */ /*END defgroup*/ +/* ------------------------------------------------------------------------- */ +/** \brief Force initialization (optional) +* +* Force NVTX library to initialize. The first call to any NVTX API function +* will automatically initialize the entire API. This can make the first call +* much slower than subsequent calls. In applications where the first call to +* NVTX may be in a performance-critical section, calling nvtxInitialize before +* any performance-critical sections will ensure NVTX initialization occurs at +* an acceptable time. Since nvtxInitialize takes no parameters and has no +* expected behavior besides initialization, it is convenient to add a call to +* nvtxInitialize in NVTX-instrumented applications that need to force earlier +* initialization without changing any other code. For example, if an app's +* first NVTX call is nvtxDomainCreate, and it is difficult to move that call +* earlier because the domain handle must be stored in an object only created +* at that point, adding a call to nvtxInitialize at the top of main() will +* ensure the later call to nvtxDomainCreate is as fast as possible. +* +* \version \NVTX_VERSION_3 +* +* \param reserved - must be zero or NULL. +* +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxInitialize(const void* reserved); +/** @} */ + + +/** @} */ /*END defgroup*/ + +/* ========================================================================= */ +/** \defgroup EVENT_ATTRIBUTES Event Attributes +* @{ +*/ + +/** --------------------------------------------------------------------------- +* Payload Types +* ------------------------------------------------------------------------- */ +typedef enum nvtxPayloadType_t +{ + NVTX_PAYLOAD_UNKNOWN = 0, /**< Color payload is unused. */ + NVTX_PAYLOAD_TYPE_UNSIGNED_INT64 = 1, /**< A 64 bit unsigned integer value is used as payload. */ + NVTX_PAYLOAD_TYPE_INT64 = 2, /**< A 64 bit signed integer value is used as payload. */ + NVTX_PAYLOAD_TYPE_DOUBLE = 3, /**< A 64 bit floating point value is used as payload. */ + /* NVTX_VERSION_2 */ + NVTX_PAYLOAD_TYPE_UNSIGNED_INT32 = 4, /**< A 32 bit floating point value is used as payload. */ + NVTX_PAYLOAD_TYPE_INT32 = 5, /**< A 32 bit floating point value is used as payload. */ + NVTX_PAYLOAD_TYPE_FLOAT = 6 /**< A 32 bit floating point value is used as payload. */ +} nvtxPayloadType_t; + +/** \brief Event Attribute Structure. + * \anchor EVENT_ATTRIBUTE_STRUCTURE + * + * This structure is used to describe the attributes of an event. The layout of + * the structure is defined by a specific version of the tools extension + * library and can change between different versions of the Tools Extension + * library. + * + * \par Initializing the Attributes + * + * The caller should always perform the following three tasks when using + * attributes: + *
    + *
  • Zero the structure + *
  • Set the version field + *
  • Set the size field + *
+ * + * Zeroing the structure sets all the event attributes types and values + * to the default value. + * + * The version and size field are used by the Tools Extension + * implementation to handle multiple versions of the attributes structure. + * + * It is recommended that the caller use one of the following to methods + * to initialize the event attributes structure: + * + * \par Method 1: Initializing nvtxEventAttributes for future compatibility + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * \endcode + * + * \par Method 2: Initializing nvtxEventAttributes for a specific version + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = 1; + * eventAttrib.size = (uint16_t)(sizeof(nvtxEventAttributes_v1)); + * \endcode + * + * If the caller uses Method 1 it is critical that the entire binary + * layout of the structure be configured to 0 so that all fields + * are initialized to the default value. + * + * The caller should either use both NVTX_VERSION and + * NVTX_EVENT_ATTRIB_STRUCT_SIZE (Method 1) or use explicit values + * and a versioned type (Method 2). Using a mix of the two methods + * will likely cause either source level incompatibility or binary + * incompatibility in the future. + * + * \par Settings Attribute Types and Values + * + * + * \par Example: + * \code + * // Initialize + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * + * // Configure the Attributes + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFF880000; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Example"; + * \endcode + * + * In the example the caller does not have to set the value of + * \ref ::nvtxEventAttributes_v2::category or + * \ref ::nvtxEventAttributes_v2::payload as these fields were set to + * the default value by {0}. + * \sa + * ::nvtxDomainMarkEx + * ::nvtxDomainRangeStartEx + * ::nvtxDomainRangePushEx + */ +typedef struct nvtxEventAttributes_v2 +{ + /** + * \brief Version flag of the structure. + * + * Needs to be set to NVTX_VERSION to indicate the version of NVTX APIs + * supported in this header file. This can optionally be overridden to + * another version of the tools extension library. + */ + uint16_t version; + + /** + * \brief Size of the structure. + * + * Needs to be set to the size in bytes of the event attribute + * structure used to specify the event. + */ + uint16_t size; + + /** + * \brief ID of the category the event is assigned to. + * + * A category is a user-controlled ID that can be used to group + * events. The tool may use category IDs to improve filtering or + * enable grouping of events in the same category. The functions + * \ref ::nvtxNameCategoryA or \ref ::nvtxNameCategoryW can be used + * to name a category. + * + * Default Value is 0 + */ + uint32_t category; + + /** \brief Color type specified in this attribute structure. + * + * Defines the color format of the attribute structure's \ref COLOR_FIELD + * "color" field. + * + * Default Value is NVTX_COLOR_UNKNOWN + */ + int32_t colorType; /* nvtxColorType_t */ + + /** \brief Color assigned to this event. \anchor COLOR_FIELD + * + * The color that the tool should use to visualize the event. + */ + uint32_t color; + + /** + * \brief Payload type specified in this attribute structure. + * + * Defines the payload format of the attribute structure's \ref PAYLOAD_FIELD + * "payload" field. + * + * Default Value is NVTX_PAYLOAD_UNKNOWN + */ + int32_t payloadType; /* nvtxPayloadType_t */ + + int32_t reserved0; + + /** + * \brief Payload assigned to this event. \anchor PAYLOAD_FIELD + * + * A numerical value that can be used to annotate an event. The tool could + * use the payload data to reconstruct graphs and diagrams. + */ + union payload_t + { + uint64_t ullValue; + int64_t llValue; + double dValue; + /* NVTX_VERSION_2 */ + uint32_t uiValue; + int32_t iValue; + float fValue; + } payload; + + /** \brief Message type specified in this attribute structure. + * + * Defines the message format of the attribute structure's \ref MESSAGE_FIELD + * "message" field. + * + * Default Value is NVTX_MESSAGE_UNKNOWN + */ + int32_t messageType; /* nvtxMessageType_t */ + + /** \brief Message assigned to this attribute structure. \anchor MESSAGE_FIELD + * + * The text message that is attached to an event. + */ + nvtxMessageValue_t message; + +} nvtxEventAttributes_v2; + +typedef struct nvtxEventAttributes_v2 nvtxEventAttributes_t; + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup MARKERS_AND_RANGES Markers and Ranges + * + * See \ref MARKERS_AND_RANGES for more details + * + * @{ + */ + +/** \name Marker */ + +/* ------------------------------------------------------------------------- */ +/** \brief Marks an instantaneous event in the application. +* +* A marker can contain a text message or specify additional information +* using the event attributes structure. These attributes include a text +* message, color, category, and a payload. Each of the attributes is optional +* and can only be sent out using the \ref nvtxDomainMarkEx function. +* +* nvtxDomainMarkEx(NULL, event) is equivalent to calling +* nvtxMarkEx(event). +* +* \param domain - The domain of scoping the category. +* \param eventAttrib - The event attribute structure defining the marker's +* attribute types and attribute values. +* +* \sa +* ::nvtxMarkEx +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainMarkEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Marks an instantaneous event in the application. + * + * A marker can contain a text message or specify additional information + * using the event attributes structure. These attributes include a text + * message, color, category, and a payload. Each of the attributes is optional + * and can only be sent out using the \ref nvtxMarkEx function. + * If \ref nvtxMarkA or \ref nvtxMarkW are used to specify the marker + * or if an attribute is unspecified then a default value will be used. + * + * \param eventAttrib - The event attribute structure defining the marker's + * attribute types and attribute values. + * + * \par Example: + * \code + * // zero the structure + * nvtxEventAttributes_t eventAttrib = {0}; + * // set the version and the size information + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * // configure the attributes. 0 is the default for all attributes. + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFF880000; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Example nvtxMarkEx"; + * nvtxMarkEx(&eventAttrib); + * \endcode + * + * \sa + * ::nvtxDomainMarkEx + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxMarkEx(const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Marks an instantaneous event in the application. + * + * A marker created using \ref nvtxMarkA or \ref nvtxMarkW contains only a + * text message. + * + * \param message - The message associated to this marker event. + * + * \par Example: + * \code + * nvtxMarkA("Example nvtxMarkA"); + * nvtxMarkW(L"Example nvtxMarkW"); + * \endcode + * + * \sa + * ::nvtxDomainMarkEx + * ::nvtxMarkEx + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxMarkA(const char* message); +NVTX_DECLSPEC void NVTX_API nvtxMarkW(const wchar_t* message); +/** @} */ + + +/** \name Process Ranges */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a process range in a domain. +* +* \param domain - The domain of scoping the category. +* \param eventAttrib - The event attribute structure defining the range's +* attribute types and attribute values. +* +* \return The unique ID used to correlate a pair of Start and End events. +* +* \remarks Ranges defined by Start/End can overlap. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("my domain"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; +* eventAttrib.message.ascii = "my range"; +* nvtxRangeId_t rangeId = nvtxDomainRangeStartEx(&eventAttrib); +* // ... +* nvtxDomainRangeEnd(rangeId); +* \endcode +* +* \sa +* ::nvtxDomainRangeEnd +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxDomainRangeStartEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a process range. + * + * \param eventAttrib - The event attribute structure defining the range's + * attribute types and attribute values. + * + * \return The unique ID used to correlate a pair of Start and End events. + * + * \remarks Ranges defined by Start/End can overlap. + * + * \par Example: + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * eventAttrib.category = 3; + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFF0088FF; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Example Range"; + * nvtxRangeId_t rangeId = nvtxRangeStartEx(&eventAttrib); + * // ... + * nvtxRangeEnd(rangeId); + * \endcode + * + * \sa + * ::nvtxRangeEnd + * ::nvtxDomainRangeStartEx + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartEx(const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a process range. + * + * \param message - The event message associated to this range event. + * + * \return The unique ID used to correlate a pair of Start and End events. + * + * \remarks Ranges defined by Start/End can overlap. + * + * \par Example: + * \code + * nvtxRangeId_t r1 = nvtxRangeStartA("Range 1"); + * nvtxRangeId_t r2 = nvtxRangeStartW(L"Range 2"); + * nvtxRangeEnd(r1); + * nvtxRangeEnd(r2); + * \endcode + * + * \sa + * ::nvtxRangeEnd + * ::nvtxRangeStartEx + * ::nvtxDomainRangeStartEx + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartA(const char* message); +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartW(const wchar_t* message); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a process range. +* +* \param domain - The domain +* \param id - The correlation ID returned from a nvtxRangeStart call. +* +* \remarks This function is offered completeness but is an alias for ::nvtxRangeEnd. +* It does not need a domain param since that is associated iwth the range ID at ::nvtxDomainRangeStartEx +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("my domain"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; +* eventAttrib.message.ascii = "my range"; +* nvtxRangeId_t rangeId = nvtxDomainRangeStartEx(&eventAttrib); +* // ... +* nvtxDomainRangeEnd(rangeId); +* \endcode +* +* \sa +* ::nvtxDomainRangeStartEx +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainRangeEnd(nvtxDomainHandle_t domain, nvtxRangeId_t id); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a process range. + * + * \param id - The correlation ID returned from an nvtxRangeStart call. + * + * \sa + * ::nvtxDomainRangeStartEx + * ::nvtxRangeStartEx + * ::nvtxRangeStartA + * ::nvtxRangeStartW + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxRangeEnd(nvtxRangeId_t id); +/** @} */ + +/** \name Thread Ranges */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a nested thread range. +* +* \param domain - The domain of scoping. +* \param eventAttrib - The event attribute structure defining the range's +* attribute types and attribute values. +* +* \return The 0 based level of range being started. This value is scoped to the domain. +* If an error occurs, a negative value is returned. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.colorType = NVTX_COLOR_ARGB; +* eventAttrib.color = 0xFFFF0000; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; +* eventAttrib.message.ascii = "Level 0"; +* nvtxDomainRangePushEx(domain, &eventAttrib); +* +* // Re-use eventAttrib +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_UNICODE; +* eventAttrib.message.unicode = L"Level 1"; +* nvtxDomainRangePushEx(domain, &eventAttrib); +* +* nvtxDomainRangePop(domain); //level 1 +* nvtxDomainRangePop(domain); //level 0 +* \endcode +* +* \sa +* ::nvtxDomainRangePop +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC int NVTX_API nvtxDomainRangePushEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a nested thread range. + * + * \param eventAttrib - The event attribute structure defining the range's + * attribute types and attribute values. + * + * \return The 0 based level of range being started. This level is per domain. + * If an error occurs a negative value is returned. + * + * \par Example: + * \code + * nvtxEventAttributes_t eventAttrib = {0}; + * eventAttrib.version = NVTX_VERSION; + * eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; + * eventAttrib.colorType = NVTX_COLOR_ARGB; + * eventAttrib.color = 0xFFFF0000; + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_ASCII; + * eventAttrib.message.ascii = "Level 0"; + * nvtxRangePushEx(&eventAttrib); + * + * // Re-use eventAttrib + * eventAttrib.messageType = NVTX_MESSAGE_TYPE_UNICODE; + * eventAttrib.message.unicode = L"Level 1"; + * nvtxRangePushEx(&eventAttrib); + * + * nvtxRangePop(); + * nvtxRangePop(); + * \endcode + * + * \sa + * ::nvtxDomainRangePushEx + * ::nvtxRangePop + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC int NVTX_API nvtxRangePushEx(const nvtxEventAttributes_t* eventAttrib); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Starts a nested thread range. + * + * \param message - The event message associated to this range event. + * + * \return The 0 based level of range being started. If an error occurs a + * negative value is returned. + * + * \par Example: + * \code + * nvtxRangePushA("Level 0"); + * nvtxRangePushW(L"Level 1"); + * nvtxRangePop(); + * nvtxRangePop(); + * \endcode + * + * \sa + * ::nvtxDomainRangePushEx + * ::nvtxRangePop + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC int NVTX_API nvtxRangePushA(const char* message); +NVTX_DECLSPEC int NVTX_API nvtxRangePushW(const wchar_t* message); +/** @} */ + + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a nested thread range. +* +* \return The level of the range being ended. If an error occurs a negative +* value is returned on the current thread. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreate("example library"); +* nvtxDomainRangePushA(domain, "Level 0"); +* nvtxDomainRangePushW(domain, L"Level 1"); +* nvtxDomainRangePop(domain); +* nvtxDomainRangePop(domain); +* \endcode +* +* \sa +* ::nvtxRangePushEx +* ::nvtxRangePushA +* ::nvtxRangePushW +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC int NVTX_API nvtxDomainRangePop(nvtxDomainHandle_t domain); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Ends a nested thread range. + * + * \return The level of the range being ended. If an error occurs a negative + * value is returned on the current thread. + * + * \par Example: + * \code + * nvtxRangePushA("Level 0"); + * nvtxRangePushW(L"Level 1"); + * nvtxRangePop(); + * nvtxRangePop(); + * \endcode + * + * \sa + * ::nvtxRangePushEx + * ::nvtxRangePushA + * ::nvtxRangePushW + * + * \version \NVTX_VERSION_0 + * @{ */ +NVTX_DECLSPEC int NVTX_API nvtxRangePop(void); +/** @} */ + + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup RESOURCE_NAMING Resource Naming + * + * See \ref RESOURCE_NAMING for more details + * + * @{ + */ + + +/* ------------------------------------------------------------------------- */ +/** \name Functions for Generic Resource Naming*/ +/* ------------------------------------------------------------------------- */ + +/* ------------------------------------------------------------------------- */ +/** \cond SHOW_HIDDEN +* \brief Resource typing helpers. +* +* Classes are used to make it easy to create a series of resource types +* per API without collisions +*/ +#define NVTX_RESOURCE_MAKE_TYPE(CLASS, INDEX) ((((uint32_t)(NVTX_RESOURCE_CLASS_ ## CLASS))<<16)|((uint32_t)(INDEX))) +#define NVTX_RESOURCE_CLASS_GENERIC 1 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Generic resource type for when a resource class is not available. +* +* \sa +* ::nvtxDomainResourceCreate +* +* \version \NVTX_VERSION_2 +*/ +typedef enum nvtxResourceGenericType_t +{ + NVTX_RESOURCE_TYPE_UNKNOWN = 0, + NVTX_RESOURCE_TYPE_GENERIC_POINTER = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 1), /**< Generic pointer assumed to have no collisions with other pointers. */ + NVTX_RESOURCE_TYPE_GENERIC_HANDLE = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 2), /**< Generic handle assumed to have no collisions with other handles. */ + NVTX_RESOURCE_TYPE_GENERIC_THREAD_NATIVE = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 3), /**< OS native thread identifier. */ + NVTX_RESOURCE_TYPE_GENERIC_THREAD_POSIX = NVTX_RESOURCE_MAKE_TYPE(GENERIC, 4) /**< POSIX pthread identifier. */ +} nvtxResourceGenericType_t; + + + +/** \brief Resource Attribute Structure. +* \anchor RESOURCE_ATTRIBUTE_STRUCTURE +* +* This structure is used to describe the attributes of a resource. The layout of +* the structure is defined by a specific version of the tools extension +* library and can change between different versions of the Tools Extension +* library. +* +* \par Initializing the Attributes +* +* The caller should always perform the following three tasks when using +* attributes: +*
    +*
  • Zero the structure +*
  • Set the version field +*
  • Set the size field +*
+* +* Zeroing the structure sets all the resource attributes types and values +* to the default value. +* +* The version and size field are used by the Tools Extension +* implementation to handle multiple versions of the attributes structure. +* +* It is recommended that the caller use one of the following to methods +* to initialize the event attributes structure: +* +* \par Method 1: Initializing nvtxEventAttributes for future compatibility +* \code +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* \endcode +* +* \par Method 2: Initializing nvtxEventAttributes for a specific version +* \code +* nvtxResourceAttributes_v0 attribs = {0}; +* attribs.version = 2; +* attribs.size = (uint16_t)(sizeof(nvtxResourceAttributes_v0)); +* \endcode +* +* If the caller uses Method 1 it is critical that the entire binary +* layout of the structure be configured to 0 so that all fields +* are initialized to the default value. +* +* The caller should either use both NVTX_VERSION and +* NVTX_RESOURCE_ATTRIB_STRUCT_SIZE (Method 1) or use explicit values +* and a versioned type (Method 2). Using a mix of the two methods +* will likely cause either source level incompatibility or binary +* incompatibility in the future. +* +* \par Settings Attribute Types and Values +* +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* +* // Initialize +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* +* // Configure the Attributes +* attribs.identifierType = NVTX_RESOURCE_TYPE_GENERIC_POINTER; +* attribs.identifier.pValue = (const void*)pMutex; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Single thread access to database."; +* +* nvtxResourceHandle_t handle = nvtxDomainResourceCreate(domain, attribs); +* \endcode +* +* \sa +* ::nvtxDomainResourceCreate +*/ +typedef struct nvtxResourceAttributes_v0 +{ + /** + * \brief Version flag of the structure. + * + * Needs to be set to NVTX_VERSION to indicate the version of NVTX APIs + * supported in this header file. This can optionally be overridden to + * another version of the tools extension library. + */ + uint16_t version; + + /** + * \brief Size of the structure. + * + * Needs to be set to the size in bytes of this attribute + * structure. + */ + uint16_t size; + + /** + * \brief Identifier type specifies how to interpret the identifier field + * + * Defines the identifier format of the attribute structure's \ref RESOURCE_IDENTIFIER_FIELD + * "identifier" field. + * + * Default Value is NVTX_RESOURCE_TYPE_UNKNOWN + */ + int32_t identifierType; /* values from enums following the pattern nvtxResource[name]Type_t */ + + /** + * \brief Identifier for the resource. + * \anchor RESOURCE_IDENTIFIER_FIELD + * + * An identifier may be a pointer or a handle to an OS or middleware API object. + * The resource type will assist in avoiding collisions where handles values may collide. + */ + union identifier_t + { + const void* pValue; + uint64_t ullValue; + } identifier; + + /** \brief Message type specified in this attribute structure. + * + * Defines the message format of the attribute structure's \ref RESOURCE_MESSAGE_FIELD + * "message" field. + * + * Default Value is NVTX_MESSAGE_UNKNOWN + */ + int32_t messageType; /* nvtxMessageType_t */ + + /** \brief Message assigned to this attribute structure. \anchor RESOURCE_MESSAGE_FIELD + * + * The text message that is attached to a resource. + */ + nvtxMessageValue_t message; + +} nvtxResourceAttributes_v0; + +typedef struct nvtxResourceAttributes_v0 nvtxResourceAttributes_t; + +/* \cond SHOW_HIDDEN +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_ATTRIB_STRUCT_SIZE ( (uint16_t)( sizeof(nvtxResourceAttributes_v0) ) ) +typedef struct nvtxResourceHandle* nvtxResourceHandle_t; +/** \endcond */ + + + +/* ------------------------------------------------------------------------- */ +/** \brief Create a resource object to track and associate data with OS and middleware objects +* +* Allows users to associate an API handle or pointer with a user-provided name. +* +* +* \param domain - Domain to own the resource object +* \param attribs - Attributes to be associated with the resource +* +* \return A handle that represents the newly created resource object. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* attribs.identifierType = NVTX_RESOURCE_TYPE_GENERIC_POINTER; +* attribs.identifier.pValue = (const void*)pMutex; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Single thread access to database."; +* nvtxResourceHandle_t handle = nvtxDomainResourceCreate(domain, attribs); +* \endcode +* +* \sa +* ::nvtxResourceAttributes_t +* ::nvtxDomainResourceDestroy +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxResourceHandle_t NVTX_API nvtxDomainResourceCreate(nvtxDomainHandle_t domain, nvtxResourceAttributes_t* attribs); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Destroy a resource object to track and associate data with OS and middleware objects +* +* Allows users to associate an API handle or pointer with a user-provided name. +* +* \param resource - Handle to the resource in which to operate. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example domain"); +* nvtxResourceAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_RESOURCE_ATTRIB_STRUCT_SIZE; +* attribs.identifierType = NVTX_RESOURCE_TYPE_GENERIC_POINTER; +* attribs.identifier.pValue = (const void*)pMutex; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Single thread access to database."; +* nvtxResourceHandle_t handle = nvtxDomainResourceCreate(domain, attribs); +* nvtxDomainResourceDestroy(handle); +* \endcode +* +* \sa +* ::nvtxDomainResourceCreate +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainResourceDestroy(nvtxResourceHandle_t resource); +/** @} */ + + +/** \name Functions for NVTX Category Naming*/ + +/* ------------------------------------------------------------------------- */ +/** +* \brief Annotate an NVTX category used within a domain. +* +* Categories are used to group sets of events. Each category is identified +* through a unique ID and that ID is passed into any of the marker/range +* events to assign that event to a specific category. The nvtxDomainNameCategory +* function calls allow the user to assign a name to a category ID that is +* specific to the domain. +* +* nvtxDomainNameCategory(NULL, category, name) is equivalent to calling +* nvtxNameCategory(category, name). +* +* \param domain - The domain of scoping the category. +* \param category - The category ID to name. +* \param name - The name of the category. +* +* \remarks The category names are tracked per domain. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("example"); +* nvtxDomainNameCategoryA(domain, 1, "Memory Allocation"); +* nvtxDomainNameCategoryW(domain, 2, L"Memory Transfer"); +* \endcode +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainNameCategoryA(nvtxDomainHandle_t domain, uint32_t category, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxDomainNameCategoryW(nvtxDomainHandle_t domain, uint32_t category, const wchar_t* name); +/** @} */ + +/** \brief Annotate an NVTX category. + * + * Categories are used to group sets of events. Each category is identified + * through a unique ID and that ID is passed into any of the marker/range + * events to assign that event to a specific category. The nvtxNameCategory + * function calls allow the user to assign a name to a category ID. + * + * \param category - The category ID to name. + * \param name - The name of the category. + * + * \remarks The category names are tracked per process. + * + * \par Example: + * \code + * nvtxNameCategory(1, "Memory Allocation"); + * nvtxNameCategory(2, "Memory Transfer"); + * nvtxNameCategory(3, "Memory Object Lifetime"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCategoryA(uint32_t category, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCategoryW(uint32_t category, const wchar_t* name); +/** @} */ + +/** \name Functions for OS Threads Naming*/ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotate an OS thread. + * + * Allows the user to name an active thread of the current process. If an + * invalid thread ID is provided or a thread ID from a different process is + * used the behavior of the tool is implementation dependent. + * + * Tools expect thread ID to be a number that uniquely identifies the thread + * at the time of the call. Note that a thread's ID can be reused after + * it is destroyed. Tools may choose how to handle aliasing of thread IDs. + * + * POSIX pthread_t type returned by pthread_self() may not comply with these + * expectations. Please use OS-specific thread ID instead of pthread_t. + * + * The thread name is associated to the default domain. To support domains + * use resource objects via ::nvtxDomainResourceCreate. + * + * \param threadId - The ID of the thread to name. + * \param name - The name of the thread. + * + * \par Examples: + * MS Windows: + * \code + * #include + * nvtxNameOsThread(GetCurrentThreadId(), "Current thread"); + * nvtxNameOsThread(GetThreadId(SomeThreadHandle), "Other thread"); + * \endcode + * + * Android: + * \code + * #include + * nvtxNameOsThreadA(gettid(), "Current thread"); + * nvtxNameOsThreadA(getpid(), "Main thread"); + * \endcode + * + * Linux: + * \code + * #include + * nvtxNameOsThreadA(syscall(SYS_gettid), "Current thread"); + * \endcode + * \code + * #include + * nvtxNameOsThreadA(getpid(), "Main thread"); + * \endcode + * + * OS X: + * \code + * #include + * nvtxNameOsThreadA(syscall(SYS_thread_selfid), "Current thread"); + * \endcode + * \code + * #include + * __uint64_t id; + * pthread_threadid_np(pthread_self(), &id); + * nvtxNameOsThreadA(id, "Current thread"); + * pthread_threadid_np(somePThreadId, &id); + * nvtxNameOsThreadA(id, "Other thread"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameOsThreadA(uint32_t threadId, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameOsThreadW(uint32_t threadId, const wchar_t* name); +/** @} */ + + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup STRING_REGISTRATION String Registration +* +* Registered strings are intended to increase performance by lowering instrumentation +* overhead. String may be registered once and the handle may be passed in place of +* a string where an the APIs may allow. +* +* See \ref STRING_REGISTRATION for more details +* +* @{ +*/ + +/* ------------------------------------------------------------------------- */ +/** \brief Register a string. + +* Registers an immutable string with NVTX. Once registered the pointer used +* to register the domain name can be used in nvtxEventAttributes_t +* \ref MESSAGE_FIELD. This allows NVTX implementation to skip copying the +* contents of the message on each event invocation. +* +* String registration is an optimization. It is recommended to use string +* registration if the string will be passed to an event many times. +* +* String are not unregistered, except that by unregistering the entire domain +* +* \param domain - Domain handle. If NULL then the global domain is used. +* \param string - A unique pointer to a sequence of characters. +* +* \return A handle representing the registered string. +* +* \par Example: +* \code +* nvtxDomainCreateA("com.nvidia.nvtx.example"); +* nvtxStringHandle_t message = nvtxDomainRegisterStringA(domain, "registered string"); +* nvtxEventAttributes_t eventAttrib = {0}; +* eventAttrib.version = NVTX_VERSION; +* eventAttrib.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib.messageType = NVTX_MESSAGE_TYPE_REGISTERED; +* eventAttrib.message.registered = message; +* \endcode +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxStringHandle_t NVTX_API nvtxDomainRegisterStringA(nvtxDomainHandle_t domain, const char* string); +NVTX_DECLSPEC nvtxStringHandle_t NVTX_API nvtxDomainRegisterStringW(nvtxDomainHandle_t domain, const wchar_t* string); +/** @} */ + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \defgroup DOMAINS Domains +* +* Domains are used to group events to a developer defined scope. Middleware +* vendors may also scope their own events to avoid collisions with the +* the application developer's events, so that the application developer may +* inspect both parts and easily differentiate or filter them. By default +* all events are scoped to a global domain where NULL is provided or when +* using APIs provided b versions of NVTX below v2 +* +* Domains are intended to be typically long lived objects with the intention +* of logically separating events of large modules from each other such as +* middleware libraries from each other and the main application. +* +* See \ref DOMAINS for more details +* +* @{ +*/ + +/* ------------------------------------------------------------------------- */ +/** \brief Register a NVTX domain. +* +* Domains are used to scope annotations. All NVTX_VERSION_0 and NVTX_VERSION_1 +* annotations are scoped to the global domain. The function nvtxDomainCreate +* creates a new named domain. +* +* Each domain maintains its own nvtxRangePush and nvtxRangePop stack. +* +* \param name - A unique string representing the domain. +* +* \return A handle representing the domain. +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("com.nvidia.nvtx.example"); +* +* nvtxMarkA("nvtxMarkA to global domain"); +* +* nvtxEventAttributes_t eventAttrib1 = {0}; +* eventAttrib1.version = NVTX_VERSION; +* eventAttrib1.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib1.message.ascii = "nvtxDomainMarkEx to global domain"; +* nvtxDomainMarkEx(NULL, &eventAttrib1); +* +* nvtxEventAttributes_t eventAttrib2 = {0}; +* eventAttrib2.version = NVTX_VERSION; +* eventAttrib2.size = NVTX_EVENT_ATTRIB_STRUCT_SIZE; +* eventAttrib2.message.ascii = "nvtxDomainMarkEx to com.nvidia.nvtx.example"; +* nvtxDomainMarkEx(domain, &eventAttrib2); +* nvtxDomainDestroy(domain); +* \endcode +* +* \sa +* ::nvtxDomainDestroy +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC nvtxDomainHandle_t NVTX_API nvtxDomainCreateA(const char* name); +NVTX_DECLSPEC nvtxDomainHandle_t NVTX_API nvtxDomainCreateW(const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Unregister a NVTX domain. +* +* Unregisters the domain handle and frees all domain specific resources. +* +* \param domain - the domain handle +* +* \par Example: +* \code +* nvtxDomainHandle_t domain = nvtxDomainCreateA("com.nvidia.nvtx.example"); +* nvtxDomainDestroy(domain); +* \endcode +* +* \sa +* ::nvtxDomainCreateA +* ::nvtxDomainCreateW +* +* \version \NVTX_VERSION_2 +* @{ */ +NVTX_DECLSPEC void NVTX_API nvtxDomainDestroy(nvtxDomainHandle_t domain); +/** @} */ + + +/** @} */ /*END defgroup*/ +/* ========================================================================= */ +/** \cond SHOW_HIDDEN */ + +#ifdef UNICODE + #define nvtxMark nvtxMarkW + #define nvtxRangeStart nvtxRangeStartW + #define nvtxRangePush nvtxRangePushW + #define nvtxNameCategory nvtxNameCategoryW + #define nvtxNameOsThread nvtxNameOsThreadW + /* NVTX_VERSION_2 */ + #define nvtxDomainCreate nvtxDomainCreateW + #define nvtxDomainRegisterString nvtxDomainRegisterStringW + #define nvtxDomainNameCategory nvtxDomainNameCategoryW +#else + #define nvtxMark nvtxMarkA + #define nvtxRangeStart nvtxRangeStartA + #define nvtxRangePush nvtxRangePushA + #define nvtxNameCategory nvtxNameCategoryA + #define nvtxNameOsThread nvtxNameOsThreadA + /* NVTX_VERSION_2 */ + #define nvtxDomainCreate nvtxDomainCreateA + #define nvtxDomainRegisterString nvtxDomainRegisterStringA + #define nvtxDomainNameCategory nvtxDomainNameCategoryA +#endif + +/** \endcond */ + +#ifdef __cplusplus +} /* extern "C" */ +#endif /* __cplusplus */ + +#define NVTX_IMPL_GUARD /* Ensure other headers cannot included directly */ + +#include "nvtxDetail/nvtxTypes.h" + +#ifndef NVTX_NO_IMPL +#include "nvtxDetail/nvtxImpl.h" +#endif /*NVTX_NO_IMPL*/ + +#undef NVTX_IMPL_GUARD + +#endif /* !defined(NVTX_VERSION) */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtCuda.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtCuda.h new file mode 100644 index 0000000000000000000000000000000000000000..8b1e71b7779089430b39e0fe3483ad536bb4bb7d --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtCuda.h @@ -0,0 +1,170 @@ +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#include "nvToolsExt.h" + +#include "cuda.h" + +#ifndef NVTOOLSEXT_CUDA_V3 +#define NVTOOLSEXT_CUDA_V3 + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* ========================================================================= */ +/** \name Functions for CUDA Resource Naming +*/ +/** \addtogroup RESOURCE_NAMING + * \section RESOURCE_NAMING_CUDA CUDA Resource Naming + * + * This section covers the API functions that allow to annotate CUDA resources + * with user-provided names. + * + * @{ + */ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_CUDA 4 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Resource types for CUDA +*/ +typedef enum nvtxResourceCUDAType_t +{ + NVTX_RESOURCE_TYPE_CUDA_DEVICE = NVTX_RESOURCE_MAKE_TYPE(CUDA, 1), /* CUdevice */ + NVTX_RESOURCE_TYPE_CUDA_CONTEXT = NVTX_RESOURCE_MAKE_TYPE(CUDA, 2), /* CUcontext */ + NVTX_RESOURCE_TYPE_CUDA_STREAM = NVTX_RESOURCE_MAKE_TYPE(CUDA, 3), /* CUstream */ + NVTX_RESOURCE_TYPE_CUDA_EVENT = NVTX_RESOURCE_MAKE_TYPE(CUDA, 4), /* CUevent */ +} nvtxResourceCUDAType_t; + + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA device. + * + * Allows the user to associate a CUDA device with a user-provided name. + * + * \param device - The handle of the CUDA device to name. + * \param name - The name of the CUDA device. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuDeviceA(CUdevice device, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuDeviceW(CUdevice device, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA context. + * + * Allows the user to associate a CUDA context with a user-provided name. + * + * \param context - The handle of the CUDA context to name. + * \param name - The name of the CUDA context. + * + * \par Example: + * \code + * CUresult status = cuCtxCreate( &cuContext, 0, cuDevice ); + * if ( CUDA_SUCCESS != status ) + * goto Error; + * nvtxNameCuContext(cuContext, "CTX_NAME"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuContextA(CUcontext context, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuContextW(CUcontext context, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA stream. + * + * Allows the user to associate a CUDA stream with a user-provided name. + * + * \param stream - The handle of the CUDA stream to name. + * \param name - The name of the CUDA stream. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuStreamA(CUstream stream, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuStreamW(CUstream stream, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA event. + * + * Allows the user to associate a CUDA event with a user-provided name. + * + * \param event - The handle of the CUDA event to name. + * \param name - The name of the CUDA event. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCuEventA(CUevent event, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCuEventW(CUevent event, const wchar_t* name); +/** @} */ + +/** @} */ /* END RESOURCE_NAMING */ + +/* ========================================================================= */ +#ifdef UNICODE + #define nvtxNameCuDevice nvtxNameCuDeviceW + #define nvtxNameCuContext nvtxNameCuContextW + #define nvtxNameCuStream nvtxNameCuStreamW + #define nvtxNameCuEvent nvtxNameCuEventW +#else + #define nvtxNameCuDevice nvtxNameCuDeviceA + #define nvtxNameCuContext nvtxNameCuContextA + #define nvtxNameCuStream nvtxNameCuStreamA + #define nvtxNameCuEvent nvtxNameCuEventA +#endif + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#ifndef NVTX_NO_IMPL +#define NVTX_IMPL_GUARD_CUDA /* Ensure other headers cannot included directly */ +#include "nvtxDetail/nvtxImplCuda_v3.h" +#undef NVTX_IMPL_GUARD_CUDA +#endif /*NVTX_NO_IMPL*/ + +#endif /* NVTOOLSEXT_CUDA_V3 */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtCudaRt.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtCudaRt.h new file mode 100644 index 0000000000000000000000000000000000000000..044d3dab5c32e7ec6646f3a1f3e9d89e52d40ba2 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtCudaRt.h @@ -0,0 +1,146 @@ +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#include "nvToolsExt.h" + +#include "cuda.h" +#include "driver_types.h" + +#ifndef NVTOOLSEXT_CUDART_V3 +#define NVTOOLSEXT_CUDART_V3 + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* ========================================================================= */ +/** \name Functions for CUDA Resource Naming +*/ +/** \addtogroup RESOURCE_NAMING + * \section RESOURCE_NAMING_CUDART CUDA Runtime Resource Naming + * + * This section covers the API functions that allow to annotate CUDA resources + * with user-provided names. + * + * @{ + */ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_CUDART 5 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Resource types for CUDART +*/ +typedef enum nvtxResourceCUDARTType_t +{ + NVTX_RESOURCE_TYPE_CUDART_DEVICE = NVTX_RESOURCE_MAKE_TYPE(CUDART, 0), /* int device */ + NVTX_RESOURCE_TYPE_CUDART_STREAM = NVTX_RESOURCE_MAKE_TYPE(CUDART, 1), /* cudaStream_t */ + NVTX_RESOURCE_TYPE_CUDART_EVENT = NVTX_RESOURCE_MAKE_TYPE(CUDART, 2), /* cudaEvent_t */ +} nvtxResourceCUDARTType_t; + + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA device. + * + * Allows the user to associate a CUDA device with a user-provided name. + * + * \param device - The id of the CUDA device to name. + * \param name - The name of the CUDA device. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCudaDeviceA(int device, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCudaDeviceW(int device, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA stream. + * + * Allows the user to associate a CUDA stream with a user-provided name. + * + * \param stream - The handle of the CUDA stream to name. + * \param name - The name of the CUDA stream. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCudaStreamA(cudaStream_t stream, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCudaStreamW(cudaStream_t stream, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates a CUDA event. + * + * Allows the user to associate a CUDA event with a user-provided name. + * + * \param event - The handle of the CUDA event to name. + * \param name - The name of the CUDA event. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameCudaEventA(cudaEvent_t event, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameCudaEventW(cudaEvent_t event, const wchar_t* name); +/** @} */ + +/** @} */ /* END RESOURCE_NAMING */ + +/* ========================================================================= */ +#ifdef UNICODE + #define nvtxNameCudaDevice nvtxNameCudaDeviceW + #define nvtxNameCudaStream nvtxNameCudaStreamW + #define nvtxNameCudaEvent nvtxNameCudaEventW +#else + #define nvtxNameCudaDevice nvtxNameCudaDeviceA + #define nvtxNameCudaStream nvtxNameCudaStreamA + #define nvtxNameCudaEvent nvtxNameCudaEventA +#endif + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#ifndef NVTX_NO_IMPL +#define NVTX_IMPL_GUARD_CUDART /* Ensure other headers cannot included directly */ +#include "nvtxDetail/nvtxImplCudaRt_v3.h" +#undef NVTX_IMPL_GUARD_CUDART +#endif /*NVTX_NO_IMPL*/ + +#endif /* NVTOOLSEXT_CUDART_V3 */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtOpenCL.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtOpenCL.h new file mode 100644 index 0000000000000000000000000000000000000000..38a9290b438d30f8450b6ea2f4e5de68d37d4a97 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtOpenCL.h @@ -0,0 +1,220 @@ +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#include "nvToolsExt.h" + +#include + +#ifndef NVTOOLSEXT_OPENCL_V3 +#define NVTOOLSEXT_OPENCL_V3 + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* ========================================================================= */ +/** \name Functions for OpenCL Resource Naming + */ +/** \addtogroup RESOURCE_NAMING + * \section RESOURCE_NAMING_OPENCL OpenCL Resource Naming + * + * This section covers the API functions that allow to annotate OpenCL resources + * with user-provided names. + * + * @{ + */ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_OPENCL 6 +/** \endcond */ + +/* ------------------------------------------------------------------------- */ +/** \brief Resource types for OpenCL +*/ +typedef enum nvtxResourceOpenCLType_t +{ + NVTX_RESOURCE_TYPE_OPENCL_DEVICE = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 1), + NVTX_RESOURCE_TYPE_OPENCL_CONTEXT = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 2), + NVTX_RESOURCE_TYPE_OPENCL_COMMANDQUEUE = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 3), + NVTX_RESOURCE_TYPE_OPENCL_MEMOBJECT = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 4), + NVTX_RESOURCE_TYPE_OPENCL_SAMPLER = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 5), + NVTX_RESOURCE_TYPE_OPENCL_PROGRAM = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 6), + NVTX_RESOURCE_TYPE_OPENCL_EVENT = NVTX_RESOURCE_MAKE_TYPE(OPENCL, 7), +} nvtxResourceOpenCLType_t; + + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL device. + * + * Allows to associate an OpenCL device with a user-provided name. + * + * \param device - The handle of the OpenCL device to name. + * \param name - The name of the OpenCL device. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClDeviceA(cl_device_id device, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClDeviceW(cl_device_id device, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL context. + * + * Allows to associate an OpenCL context with a user-provided name. + * + * \param context - The handle of the OpenCL context to name. + * \param name - The name of the OpenCL context. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClContextA(cl_context context, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClContextW(cl_context context, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL command queue. + * + * Allows to associate an OpenCL command queue with a user-provided name. + * + * \param command_queue - The handle of the OpenCL command queue to name. + * \param name - The name of the OpenCL command queue. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClCommandQueueA(cl_command_queue command_queue, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClCommandQueueW(cl_command_queue command_queue, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL memory object. + * + * Allows to associate an OpenCL memory object with a user-provided name. + * + * \param memobj - The handle of the OpenCL memory object to name. + * \param name - The name of the OpenCL memory object. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClMemObjectA(cl_mem memobj, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClMemObjectW(cl_mem memobj, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL sampler. + * + * Allows to associate an OpenCL sampler with a user-provided name. + * + * \param sampler - The handle of the OpenCL sampler to name. + * \param name - The name of the OpenCL sampler. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClSamplerA(cl_sampler sampler, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClSamplerW(cl_sampler sampler, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL program. + * + * Allows to associate an OpenCL program with a user-provided name. + * + * \param program - The handle of the OpenCL program to name. + * \param name - The name of the OpenCL program. + * + * \code + * cpProgram = clCreateProgramWithSource(cxGPUContext, 1, + * (const char **) &cSourceCL, &program_length, &ciErrNum); + * shrCheckErrorEX(ciErrNum, CL_SUCCESS, pCleanup); + * nvtxNameClProgram(cpProgram, L"PROGRAM_NAME"); + * \endcode + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClProgramA(cl_program program, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClProgramW(cl_program program, const wchar_t* name); +/** @} */ + +/* ------------------------------------------------------------------------- */ +/** \brief Annotates an OpenCL event. + * + * Allows to associate an OpenCL event with a user-provided name. + * + * \param evnt - The handle of the OpenCL event to name. + * \param name - The name of the OpenCL event. + * + * \version \NVTX_VERSION_1 + * @{ */ +NVTX_DECLSPEC void NVTX_API nvtxNameClEventA(cl_event evnt, const char* name); +NVTX_DECLSPEC void NVTX_API nvtxNameClEventW(cl_event evnt, const wchar_t* name); +/** @} */ + +/** @} */ /* END RESOURCE_NAMING */ + +/* ========================================================================= */ +#ifdef UNICODE + #define nvtxNameClDevice nvtxNameClDeviceW + #define nvtxNameClContext nvtxNameClContextW + #define nvtxNameClCommandQueue nvtxNameClCommandQueueW + #define nvtxNameClMemObject nvtxNameClMemObjectW + #define nvtxNameClSampler nvtxNameClSamplerW + #define nvtxNameClProgram nvtxNameClProgramW + #define nvtxNameClEvent nvtxNameClEventW +#else + #define nvtxNameClDevice nvtxNameClDeviceA + #define nvtxNameClContext nvtxNameClContextA + #define nvtxNameClCommandQueue nvtxNameClCommandQueueA + #define nvtxNameClMemObject nvtxNameClMemObjectA + #define nvtxNameClSampler nvtxNameClSamplerA + #define nvtxNameClProgram nvtxNameClProgramA + #define nvtxNameClEvent nvtxNameClEventA +#endif + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#ifndef NVTX_NO_IMPL +#define NVTX_IMPL_GUARD_OPENCL /* Ensure other headers cannot included directly */ +#include "nvtxDetail/nvtxImplOpenCL_v3.h" +#undef NVTX_IMPL_GUARD_OPENCL +#endif /*NVTX_NO_IMPL*/ + +#endif /* NVTOOLSEXT_OPENCL_V3 */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtSync.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtSync.h new file mode 100644 index 0000000000000000000000000000000000000000..afc3db98fe1b05d8dfb309221243ae3b4c14dd9d --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvToolsExtSync.h @@ -0,0 +1,411 @@ +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#include "nvToolsExt.h" + +#ifndef NVTOOLSEXT_SYNC_V3 +#define NVTOOLSEXT_SYNC_V3 + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +/* \cond SHOW_HIDDEN +* \version \NVTX_VERSION_2 +*/ +#define NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE ( (uint16_t)( sizeof(nvtxSyncUserAttributes_v0) ) ) +/** \endcond */ + + +/** +* \page PAGE_SYNCHRONIZATION Synchronization +* +* This section covers a subset of the API that allow users to track additional +* synchronization details of their application. Naming OS synchronization primitives +* may allow users to better understand the data collected by traced synchronization +* APIs. Additionally, a user defined synchronization object can allow the users to +* to tell the tools when the user is building their own synchronization system +* that do not rely on the OS to provide behaviors and instead use techniques like +* atomic operations and spinlocks. +* +* See module \ref SYNCHRONIZATION for details. +* +* \par Example: +* \code +* class MyMutex +* { +* volatile long bLocked; +* nvtxSyncUser_t hSync; +* public: +* MyMutex(const char* name, nvtxDomainHandle_t d){ +* bLocked = 0; +* +* nvtxSyncUserAttributes_t attribs = { 0 }; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE; +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = name; +* hSync = nvtxDomainSyncUserCreate(d, &attribs); +* } +* +* ~MyMutex() { +* nvtxDomainSyncUserDestroy(hSync); +* } +* +* bool Lock() { +* nvtxDomainSyncUserAcquireStart(hSync); +* bool acquired = __sync_bool_compare_and_swap(&bLocked, 0, 1);//atomic compiler intrinsic + +* if (acquired) { +* nvtxDomainSyncUserAcquireSuccess(hSync); +* } +* else { +* nvtxDomainSyncUserAcquireFailed(hSync); +* } +* return acquired; +* } + +* void Unlock() { +* nvtxDomainSyncUserReleasing(hSync); +* bLocked = false; +* } +* }; +* \endcode +* +* \version \NVTX_VERSION_2 +*/ + +/* ------------------------------------------------------------------------- */ +/* \cond SHOW_HIDDEN +* \brief Used to build a non-colliding value for resource types separated class +* \version \NVTX_VERSION_2 +*/ +#define NVTX_RESOURCE_CLASS_SYNC_OS 2 /**< Synchronization objects that are OS specific. */ +#define NVTX_RESOURCE_CLASS_SYNC_PTHREAD 3 /**< Synchronization objects that are from the POSIX Threads API (pthread)*/ +/** \endcond */ + + +/* ------------------------------------------------------------------------- */ +/** \defgroup SYNCHRONIZATION Synchronization +* See page \ref PAGE_SYNCHRONIZATION. +* @{ +*/ + +/** \brief Resource type values for OSs with POSIX Thread API support + */ +typedef enum nvtxResourceSyncPosixThreadType_t +{ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_MUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 1), /* pthread_mutex_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_CONDITION = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 2), /* pthread_cond_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_RWLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 3), /* pthread_rwlock_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_BARRIER = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 4), /* pthread_barrier_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_SPINLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 5), /* pthread_spinlock_t */ + NVTX_RESOURCE_TYPE_SYNC_PTHREAD_ONCE = NVTX_RESOURCE_MAKE_TYPE(SYNC_PTHREAD, 6) /* pthread_once_t */ +} nvtxResourceSyncPosixThreadType_t; + +/** \brief Resource type values for Windows OSs +*/ +typedef enum nvtxResourceSyncWindowsType_t +{ + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_MUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 1), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_SEMAPHORE = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 2), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_EVENT = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 3), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_CRITICAL_SECTION = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 4), + NVTX_RESOURCE_TYPE_SYNC_WINDOWS_SRWLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 5) +} nvtxResourceSyncWindowsType_t; + +/** \brief Resource type values for Linux and Linux derived OSs such as Android +* \sa +* ::nvtxResourceSyncPosixThreadType_t +*/ +typedef enum nvtxResourceSyncLinuxType_t +{ + NVTX_RESOURCE_TYPE_SYNC_LINUX_MUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 1), + NVTX_RESOURCE_TYPE_SYNC_LINUX_FUTEX = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 2), + NVTX_RESOURCE_TYPE_SYNC_LINUX_SEMAPHORE = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 3), + NVTX_RESOURCE_TYPE_SYNC_LINUX_COMPLETION = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 4), + NVTX_RESOURCE_TYPE_SYNC_LINUX_SPINLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 5), + NVTX_RESOURCE_TYPE_SYNC_LINUX_SEQLOCK = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 6), + NVTX_RESOURCE_TYPE_SYNC_LINUX_RCU = NVTX_RESOURCE_MAKE_TYPE(SYNC_OS, 7) +} nvtxResourceSyncLinuxType_t; + +/** \brief Resource type values for Android come from Linux. +* \sa +* ::nvtxResourceSyncLinuxType_t +* ::nvtxResourceSyncPosixThreadType_t +*/ +typedef enum nvtxResourceSyncLinuxType_t nvtxResourceSyncAndroidType_t; + +/** \brief User Defined Synchronization Object Handle . +* \anchor SYNCUSER_HANDLE_STRUCTURE +* +* This structure is opaque to the user and is used as a handle to reference +* a user defined syncrhonization object. The tools will return a pointer through the API for the application +* to hold on it's behalf to reference the string in the future. +* +*/ +typedef struct nvtxSyncUser* nvtxSyncUser_t; + +/** \brief User Defined Synchronization Object Attributes Structure. +* \anchor USERDEF_SYNC_ATTRIBUTES_STRUCTURE +* +* This structure is used to describe the attributes of a user defined synchronization +* object. The layout of the structure is defined by a specific version of the tools +* extension library and can change between different versions of the Tools Extension +* library. +* +* \par Initializing the Attributes +* +* The caller should always perform the following three tasks when using +* attributes: +*
    +*
  • Zero the structure +*
  • Set the version field +*
  • Set the size field +*
+* +* Zeroing the structure sets all the event attributes types and values +* to the default value. +* +* The version and size field are used by the Tools Extension +* implementation to handle multiple versions of the attributes structure. +* +* It is recommended that the caller use one of the following to methods +* to initialize the event attributes structure: +* +* \par Method 1: Initializing nvtxEventAttributes for future compatibility +* \code +* nvtxSyncUserAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE; +* \endcode +* +* \par Method 2: Initializing nvtxSyncUserAttributes_t for a specific version +* \code +* nvtxSyncUserAttributes_t attribs = {0}; +* attribs.version = 1; +* attribs.size = (uint16_t)(sizeof(nvtxSyncUserAttributes_t)); +* \endcode +* +* If the caller uses Method 1 it is critical that the entire binary +* layout of the structure be configured to 0 so that all fields +* are initialized to the default value. +* +* The caller should either use both NVTX_VERSION and +* NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE (Method 1) or use explicit values +* and a versioned type (Method 2). Using a mix of the two methods +* will likely cause either source level incompatibility or binary +* incompatibility in the future. +* +* \par Settings Attribute Types and Values +* +* +* \par Example: +* \code +* // Initialize +* nvtxSyncUserAttributes_t attribs = {0}; +* attribs.version = NVTX_VERSION; +* attribs.size = NVTX_SYNCUSER_ATTRIB_STRUCT_SIZE; +* +* // Configure the Attributes +* attribs.messageType = NVTX_MESSAGE_TYPE_ASCII; +* attribs.message.ascii = "Example"; +* \endcode +* +* \sa +* ::nvtxDomainSyncUserCreate +*/ +typedef struct nvtxSyncUserAttributes_v0 +{ + /** + * \brief Version flag of the structure. + * + * Needs to be set to NVTX_VERSION to indicate the version of NVTX APIs + * supported in this header file. This can optionally be overridden to + * another version of the tools extension library. + */ + uint16_t version; + + /** + * \brief Size of the structure. + * + * Needs to be set to the size in bytes of the event attribute + * structure used to specify the event. + */ + uint16_t size; + + /** \brief Message type specified in this attribute structure. + * + * Defines the message format of the attribute structure's \ref nvtxSyncUserAttributes_v0::message + * "message" field. + * + * Default Value is NVTX_MESSAGE_UNKNOWN + */ + int32_t messageType; /* nvtxMessageType_t */ + + /** \brief Message assigned to this attribute structure. + * + * The text message that is attached to an event. + */ + nvtxMessageValue_t message; + +} nvtxSyncUserAttributes_v0; + +typedef struct nvtxSyncUserAttributes_v0 nvtxSyncUserAttributes_t; + +/* ------------------------------------------------------------------------- */ +/** \brief Create a user defined synchronization object +* This is used to track non-OS synchronization working with spinlocks and atomics +* +* \param domain - Domain to own the resource +* \param attribs - A structure to assign multiple attributes to the object. +* +* \return A handle that represents the newly created user defined synchronization object. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC nvtxSyncUser_t NVTX_API nvtxDomainSyncUserCreate(nvtxDomainHandle_t domain, const nvtxSyncUserAttributes_t* attribs); + +/* ------------------------------------------------------------------------- */ +/** \brief Destroy a user defined synchronization object +* This is used to track non-OS synchronization working with spinlocks and atomics +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserDestroy(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools that an attempt to acquire a user defined synchronization object +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireStart(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools of failure in acquiring a user defined synchronization object +* This should be called after \ref nvtxDomainSyncUserAcquireStart +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireFailed(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools of success in acquiring a user defined synchronization object +* This should be called after \ref nvtxDomainSyncUserAcquireStart. +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireSuccess(nvtxSyncUser_t handle); + +/* ------------------------------------------------------------------------- */ +/** \brief Signal to tools of releasing a reservation on user defined synchronization object +* This should be called after \ref nvtxDomainSyncUserAcquireSuccess. +* +* \param handle - A handle to the object to operate on. +* +* \sa +* ::nvtxDomainSyncUserCreate +* ::nvtxDomainSyncUserDestroy +* ::nvtxDomainSyncUserAcquireStart +* ::nvtxDomainSyncUserAcquireFailed +* ::nvtxDomainSyncUserAcquireSuccess +* ::nvtxDomainSyncUserReleasing +* +* \version \NVTX_VERSION_2 +*/ +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserReleasing(nvtxSyncUser_t handle); + + +/** @} */ /*END defgroup*/ + +#ifdef __cplusplus +} +#endif /* __cplusplus */ + +#ifndef NVTX_NO_IMPL +#define NVTX_IMPL_GUARD_SYNC /* Ensure other headers cannot included directly */ +#include "nvtxDetail/nvtxImplSync_v3.h" +#undef NVTX_IMPL_GUARD_SYNC +#endif /*NVTX_NO_IMPL*/ + +#endif /* NVTOOLSEXT_SYNC_V3 */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImpl.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImpl.h new file mode 100644 index 0000000000000000000000000000000000000000..bdc6bd4c72d74ef0f1fe5c2c8b4c49b196927fa7 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImpl.h @@ -0,0 +1,469 @@ +/* This file was procedurally generated! Do not modify this file by hand. */ + +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTX_IMPL_GUARD +#error Never include this file directly -- it is automatically included by nvToolsExt.h (except when NVTX_NO_IMPL is defined). +#endif + +/* ---- Include required platform headers ---- */ + +#if defined(_WIN32) + +#include + +#else +#include + +#if defined(__ANDROID__) +#include +#endif + +#if defined(__linux__) || defined(__CYGWIN__) +#include +#endif + +#include +#include +#include +#include +#include +#include +#include +#include + +#include +#include +#include +#include +#include + +#endif + +/* ---- Define macros used in this file ---- */ + +#define NVTX_INIT_STATE_FRESH 0 +#define NVTX_INIT_STATE_STARTED 1 +#define NVTX_INIT_STATE_COMPLETE 2 + +#ifdef NVTX_DEBUG_PRINT +#ifdef __ANDROID__ +#include +#define NVTX_ERR(...) __android_log_print(ANDROID_LOG_ERROR, "NVTOOLSEXT", __VA_ARGS__); +#define NVTX_INFO(...) __android_log_print(ANDROID_LOG_INFO, "NVTOOLSEXT", __VA_ARGS__); +#else +#include +#define NVTX_ERR(...) fprintf(stderr, "NVTX_ERROR: " __VA_ARGS__) +#define NVTX_INFO(...) fprintf(stderr, "NVTX_INFO: " __VA_ARGS__) +#endif +#else /* !defined(NVTX_DEBUG_PRINT) */ +#define NVTX_ERR(...) +#define NVTX_INFO(...) +#endif + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +#ifdef __GNUC__ +#pragma GCC visibility push(hidden) +#endif + +/* ---- Forward declare all functions referenced in globals ---- */ + +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(void); +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxEtiGetModuleFunctionTable)( + NvtxCallbackModule module, + NvtxFunctionTable* out_table, + unsigned int* out_size); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxEtiSetInjectionNvtxVersion)( + uint32_t version); +NVTX_LINKONCE_FWDDECL_FUNCTION const void* NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxGetExportTable)( + uint32_t exportTableId); + +#include "nvtxInitDecls.h" + +/* ---- Define all globals ---- */ + +typedef struct nvtxGlobals_t +{ + volatile unsigned int initState; + NvtxExportTableCallbacks etblCallbacks; + NvtxExportTableVersionInfo etblVersionInfo; + + /* Implementation function pointers */ + nvtxMarkEx_impl_fntype nvtxMarkEx_impl_fnptr; + nvtxMarkA_impl_fntype nvtxMarkA_impl_fnptr; + nvtxMarkW_impl_fntype nvtxMarkW_impl_fnptr; + nvtxRangeStartEx_impl_fntype nvtxRangeStartEx_impl_fnptr; + nvtxRangeStartA_impl_fntype nvtxRangeStartA_impl_fnptr; + nvtxRangeStartW_impl_fntype nvtxRangeStartW_impl_fnptr; + nvtxRangeEnd_impl_fntype nvtxRangeEnd_impl_fnptr; + nvtxRangePushEx_impl_fntype nvtxRangePushEx_impl_fnptr; + nvtxRangePushA_impl_fntype nvtxRangePushA_impl_fnptr; + nvtxRangePushW_impl_fntype nvtxRangePushW_impl_fnptr; + nvtxRangePop_impl_fntype nvtxRangePop_impl_fnptr; + nvtxNameCategoryA_impl_fntype nvtxNameCategoryA_impl_fnptr; + nvtxNameCategoryW_impl_fntype nvtxNameCategoryW_impl_fnptr; + nvtxNameOsThreadA_impl_fntype nvtxNameOsThreadA_impl_fnptr; + nvtxNameOsThreadW_impl_fntype nvtxNameOsThreadW_impl_fnptr; + + nvtxNameCuDeviceA_fakeimpl_fntype nvtxNameCuDeviceA_impl_fnptr; + nvtxNameCuDeviceW_fakeimpl_fntype nvtxNameCuDeviceW_impl_fnptr; + nvtxNameCuContextA_fakeimpl_fntype nvtxNameCuContextA_impl_fnptr; + nvtxNameCuContextW_fakeimpl_fntype nvtxNameCuContextW_impl_fnptr; + nvtxNameCuStreamA_fakeimpl_fntype nvtxNameCuStreamA_impl_fnptr; + nvtxNameCuStreamW_fakeimpl_fntype nvtxNameCuStreamW_impl_fnptr; + nvtxNameCuEventA_fakeimpl_fntype nvtxNameCuEventA_impl_fnptr; + nvtxNameCuEventW_fakeimpl_fntype nvtxNameCuEventW_impl_fnptr; + + nvtxNameClDeviceA_fakeimpl_fntype nvtxNameClDeviceA_impl_fnptr; + nvtxNameClDeviceW_fakeimpl_fntype nvtxNameClDeviceW_impl_fnptr; + nvtxNameClContextA_fakeimpl_fntype nvtxNameClContextA_impl_fnptr; + nvtxNameClContextW_fakeimpl_fntype nvtxNameClContextW_impl_fnptr; + nvtxNameClCommandQueueA_fakeimpl_fntype nvtxNameClCommandQueueA_impl_fnptr; + nvtxNameClCommandQueueW_fakeimpl_fntype nvtxNameClCommandQueueW_impl_fnptr; + nvtxNameClMemObjectA_fakeimpl_fntype nvtxNameClMemObjectA_impl_fnptr; + nvtxNameClMemObjectW_fakeimpl_fntype nvtxNameClMemObjectW_impl_fnptr; + nvtxNameClSamplerA_fakeimpl_fntype nvtxNameClSamplerA_impl_fnptr; + nvtxNameClSamplerW_fakeimpl_fntype nvtxNameClSamplerW_impl_fnptr; + nvtxNameClProgramA_fakeimpl_fntype nvtxNameClProgramA_impl_fnptr; + nvtxNameClProgramW_fakeimpl_fntype nvtxNameClProgramW_impl_fnptr; + nvtxNameClEventA_fakeimpl_fntype nvtxNameClEventA_impl_fnptr; + nvtxNameClEventW_fakeimpl_fntype nvtxNameClEventW_impl_fnptr; + + nvtxNameCudaDeviceA_impl_fntype nvtxNameCudaDeviceA_impl_fnptr; + nvtxNameCudaDeviceW_impl_fntype nvtxNameCudaDeviceW_impl_fnptr; + nvtxNameCudaStreamA_fakeimpl_fntype nvtxNameCudaStreamA_impl_fnptr; + nvtxNameCudaStreamW_fakeimpl_fntype nvtxNameCudaStreamW_impl_fnptr; + nvtxNameCudaEventA_fakeimpl_fntype nvtxNameCudaEventA_impl_fnptr; + nvtxNameCudaEventW_fakeimpl_fntype nvtxNameCudaEventW_impl_fnptr; + + nvtxDomainMarkEx_impl_fntype nvtxDomainMarkEx_impl_fnptr; + nvtxDomainRangeStartEx_impl_fntype nvtxDomainRangeStartEx_impl_fnptr; + nvtxDomainRangeEnd_impl_fntype nvtxDomainRangeEnd_impl_fnptr; + nvtxDomainRangePushEx_impl_fntype nvtxDomainRangePushEx_impl_fnptr; + nvtxDomainRangePop_impl_fntype nvtxDomainRangePop_impl_fnptr; + nvtxDomainResourceCreate_impl_fntype nvtxDomainResourceCreate_impl_fnptr; + nvtxDomainResourceDestroy_impl_fntype nvtxDomainResourceDestroy_impl_fnptr; + nvtxDomainNameCategoryA_impl_fntype nvtxDomainNameCategoryA_impl_fnptr; + nvtxDomainNameCategoryW_impl_fntype nvtxDomainNameCategoryW_impl_fnptr; + nvtxDomainRegisterStringA_impl_fntype nvtxDomainRegisterStringA_impl_fnptr; + nvtxDomainRegisterStringW_impl_fntype nvtxDomainRegisterStringW_impl_fnptr; + nvtxDomainCreateA_impl_fntype nvtxDomainCreateA_impl_fnptr; + nvtxDomainCreateW_impl_fntype nvtxDomainCreateW_impl_fnptr; + nvtxDomainDestroy_impl_fntype nvtxDomainDestroy_impl_fnptr; + nvtxInitialize_impl_fntype nvtxInitialize_impl_fnptr; + + nvtxDomainSyncUserCreate_impl_fntype nvtxDomainSyncUserCreate_impl_fnptr; + nvtxDomainSyncUserDestroy_impl_fntype nvtxDomainSyncUserDestroy_impl_fnptr; + nvtxDomainSyncUserAcquireStart_impl_fntype nvtxDomainSyncUserAcquireStart_impl_fnptr; + nvtxDomainSyncUserAcquireFailed_impl_fntype nvtxDomainSyncUserAcquireFailed_impl_fnptr; + nvtxDomainSyncUserAcquireSuccess_impl_fntype nvtxDomainSyncUserAcquireSuccess_impl_fnptr; + nvtxDomainSyncUserReleasing_impl_fntype nvtxDomainSyncUserReleasing_impl_fnptr; + + /* Tables of function pointers -- Extra null added to the end to ensure + * a crash instead of silent corruption if a tool reads off the end. */ + NvtxFunctionPointer* functionTable_CORE [NVTX_CBID_CORE_SIZE + 1]; + NvtxFunctionPointer* functionTable_CUDA [NVTX_CBID_CUDA_SIZE + 1]; + NvtxFunctionPointer* functionTable_OPENCL[NVTX_CBID_OPENCL_SIZE + 1]; + NvtxFunctionPointer* functionTable_CUDART[NVTX_CBID_CUDART_SIZE + 1]; + NvtxFunctionPointer* functionTable_CORE2 [NVTX_CBID_CORE2_SIZE + 1]; + NvtxFunctionPointer* functionTable_SYNC [NVTX_CBID_SYNC_SIZE + 1]; +} nvtxGlobals_t; + +NVTX_LINKONCE_DEFINE_GLOBAL nvtxGlobals_t NVTX_VERSIONED_IDENTIFIER(nvtxGlobals) = +{ + NVTX_INIT_STATE_FRESH, + + { + sizeof(NvtxExportTableCallbacks), + NVTX_VERSIONED_IDENTIFIER(nvtxEtiGetModuleFunctionTable) + }, + { + sizeof(NvtxExportTableVersionInfo), + NVTX_VERSION, + 0, + NVTX_VERSIONED_IDENTIFIER(nvtxEtiSetInjectionNvtxVersion) + }, + + /* Implementation function pointers */ + NVTX_VERSIONED_IDENTIFIER(nvtxMarkEx_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxMarkA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxMarkW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartEx_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangeEnd_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangePushEx_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangePushA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangePushW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxRangePop_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadW_impl_init), + + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventW_impl_init), + + NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventW_impl_init), + + NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventW_impl_init), + + NVTX_VERSIONED_IDENTIFIER(nvtxDomainMarkEx_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeStartEx_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeEnd_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePushEx_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePop_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceCreate_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceDestroy_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateA_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateW_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainDestroy_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxInitialize_impl_init), + + NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserCreate_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserDestroy_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireStart_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireFailed_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireSuccess_impl_init), + NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserReleasing_impl_init), + + /* Tables of function pointers */ + { + 0, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkEx_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartEx_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeEnd_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushEx_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePop_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadW_impl_fnptr, + 0 + }, + { + 0, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventW_impl_fnptr, + 0 + }, + { + 0, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventW_impl_fnptr, + 0 + }, + { + 0, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventW_impl_fnptr, + 0 + }, + { + 0, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainMarkEx_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeStartEx_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeEnd_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePushEx_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePop_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceCreate_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceDestroy_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateA_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateW_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainDestroy_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxInitialize_impl_fnptr, + 0 + }, + { + 0, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserCreate_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserDestroy_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireStart_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireFailed_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireSuccess_impl_fnptr, + (NvtxFunctionPointer*)&NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserReleasing_impl_fnptr, + 0 + } +}; + +/* ---- Define static inline implementations of core API functions ---- */ + +#include "nvtxImplCore.h" + +/* ---- Define implementations of export table functions ---- */ + +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxEtiGetModuleFunctionTable)( + NvtxCallbackModule module, + NvtxFunctionTable* out_table, + unsigned int* out_size) +{ + unsigned int bytes = 0; + NvtxFunctionTable table = (NvtxFunctionTable)0; + + switch (module) + { + case NVTX_CB_MODULE_CORE: + table = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CORE; + bytes = (unsigned int)sizeof(NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CORE); + break; + case NVTX_CB_MODULE_CUDA: + table = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CUDA; + bytes = (unsigned int)sizeof(NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CUDA); + break; + case NVTX_CB_MODULE_OPENCL: + table = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_OPENCL; + bytes = (unsigned int)sizeof(NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_OPENCL); + break; + case NVTX_CB_MODULE_CUDART: + table = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CUDART; + bytes = (unsigned int)sizeof(NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CUDART); + break; + case NVTX_CB_MODULE_CORE2: + table = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CORE2; + bytes = (unsigned int)sizeof(NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_CORE2); + break; + case NVTX_CB_MODULE_SYNC: + table = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_SYNC; + bytes = (unsigned int)sizeof(NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).functionTable_SYNC); + break; + default: return 0; + } + + if (out_size) + *out_size = (bytes / (unsigned int)sizeof(NvtxFunctionPointer*)) - 1; + + if (out_table) + *out_table = table; + + return 1; +} + +NVTX_LINKONCE_DEFINE_FUNCTION const void* NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxGetExportTable)(uint32_t exportTableId) +{ + switch (exportTableId) + { + case NVTX_ETID_CALLBACKS: return &NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).etblCallbacks; + case NVTX_ETID_VERSIONINFO: return &NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).etblVersionInfo; + default: return 0; + } +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxEtiSetInjectionNvtxVersion)(uint32_t version) +{ + /* Reserved for custom implementations to resolve problems with tools */ + (void)version; +} + +/* ---- Define implementations of init versions of all API functions ---- */ + +#include "nvtxInitDefs.h" + +/* ---- Define implementations of initialization functions ---- */ + +#include "nvtxInit.h" + +#ifdef __GNUC__ +#pragma GCC visibility pop +#endif + +#ifdef __cplusplus +} /* extern "C" */ +#endif /* __cplusplus */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCore.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCore.h new file mode 100644 index 0000000000000000000000000000000000000000..aee1014ecd53f8b980442109e51fdbc7672ff6d0 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCore.h @@ -0,0 +1,299 @@ +NVTX_DECLSPEC void NVTX_API nvtxMarkEx(const nvtxEventAttributes_t* eventAttrib) +{ +#ifndef NVTX_DISABLE + nvtxMarkEx_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkEx_impl_fnptr; + if(local!=0) + (*local)(eventAttrib); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxMarkA(const char* message) +{ +#ifndef NVTX_DISABLE + nvtxMarkA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkA_impl_fnptr; + if(local!=0) + (*local)(message); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxMarkW(const wchar_t* message) +{ +#ifndef NVTX_DISABLE + nvtxMarkW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkW_impl_fnptr; + if(local!=0) + (*local)(message); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartEx(const nvtxEventAttributes_t* eventAttrib) +{ +#ifndef NVTX_DISABLE + nvtxRangeStartEx_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartEx_impl_fnptr; + if(local!=0) + return (*local)(eventAttrib); + else +#endif /*NVTX_DISABLE*/ + return (nvtxRangeId_t)0; +} + +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartA(const char* message) +{ +#ifndef NVTX_DISABLE + nvtxRangeStartA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartA_impl_fnptr; + if(local!=0) + return (*local)(message); + else +#endif /*NVTX_DISABLE*/ + return (nvtxRangeId_t)0; +} + +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxRangeStartW(const wchar_t* message) +{ +#ifndef NVTX_DISABLE + nvtxRangeStartW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartW_impl_fnptr; + if(local!=0) + return (*local)(message); + else +#endif /*NVTX_DISABLE*/ + return (nvtxRangeId_t)0; +} + +NVTX_DECLSPEC void NVTX_API nvtxRangeEnd(nvtxRangeId_t id) +{ +#ifndef NVTX_DISABLE + nvtxRangeEnd_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeEnd_impl_fnptr; + if(local!=0) + (*local)(id); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC int NVTX_API nvtxRangePushEx(const nvtxEventAttributes_t* eventAttrib) +{ +#ifndef NVTX_DISABLE + nvtxRangePushEx_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushEx_impl_fnptr; + if(local!=0) + return (*local)(eventAttrib); + else +#endif /*NVTX_DISABLE*/ + return (int)NVTX_NO_PUSH_POP_TRACKING; +} + +NVTX_DECLSPEC int NVTX_API nvtxRangePushA(const char* message) +{ +#ifndef NVTX_DISABLE + nvtxRangePushA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushA_impl_fnptr; + if(local!=0) + return (*local)(message); + else +#endif /*NVTX_DISABLE*/ + return (int)NVTX_NO_PUSH_POP_TRACKING; +} + +NVTX_DECLSPEC int NVTX_API nvtxRangePushW(const wchar_t* message) +{ +#ifndef NVTX_DISABLE + nvtxRangePushW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushW_impl_fnptr; + if(local!=0) + return (*local)(message); + else +#endif /*NVTX_DISABLE*/ + return (int)NVTX_NO_PUSH_POP_TRACKING; +} + +NVTX_DECLSPEC int NVTX_API nvtxRangePop(void) +{ +#ifndef NVTX_DISABLE + nvtxRangePop_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePop_impl_fnptr; + if(local!=0) + return (*local)(); + else +#endif /*NVTX_DISABLE*/ + return (int)NVTX_NO_PUSH_POP_TRACKING; +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCategoryA(uint32_t category, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCategoryA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryA_impl_fnptr; + if(local!=0) + (*local)(category, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCategoryW(uint32_t category, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCategoryW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryW_impl_fnptr; + if(local!=0) + (*local)(category, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameOsThreadA(uint32_t threadId, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameOsThreadA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadA_impl_fnptr; + if(local!=0) + (*local)(threadId, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameOsThreadW(uint32_t threadId, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameOsThreadW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadW_impl_fnptr; + if(local!=0) + (*local)(threadId, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainMarkEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib) +{ +#ifndef NVTX_DISABLE + nvtxDomainMarkEx_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainMarkEx_impl_fnptr; + if(local!=0) + (*local)(domain, eventAttrib); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC nvtxRangeId_t NVTX_API nvtxDomainRangeStartEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib) +{ +#ifndef NVTX_DISABLE + nvtxDomainRangeStartEx_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeStartEx_impl_fnptr; + if(local!=0) + return (*local)(domain, eventAttrib); + else +#endif /*NVTX_DISABLE*/ + return (nvtxRangeId_t)0; +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainRangeEnd(nvtxDomainHandle_t domain, nvtxRangeId_t id) +{ +#ifndef NVTX_DISABLE + nvtxDomainRangeEnd_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeEnd_impl_fnptr; + if(local!=0) + (*local)(domain, id); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC int NVTX_API nvtxDomainRangePushEx(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib) +{ +#ifndef NVTX_DISABLE + nvtxDomainRangePushEx_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePushEx_impl_fnptr; + if(local!=0) + return (*local)(domain, eventAttrib); + else +#endif /*NVTX_DISABLE*/ + return (int)NVTX_NO_PUSH_POP_TRACKING; +} + +NVTX_DECLSPEC int NVTX_API nvtxDomainRangePop(nvtxDomainHandle_t domain) +{ +#ifndef NVTX_DISABLE + nvtxDomainRangePop_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePop_impl_fnptr; + if(local!=0) + return (*local)(domain); + else +#endif /*NVTX_DISABLE*/ + return (int)NVTX_NO_PUSH_POP_TRACKING; +} + +NVTX_DECLSPEC nvtxResourceHandle_t NVTX_API nvtxDomainResourceCreate(nvtxDomainHandle_t domain, nvtxResourceAttributes_t* attribs) +{ +#ifndef NVTX_DISABLE + nvtxDomainResourceCreate_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceCreate_impl_fnptr; + if(local!=0) + return (*local)(domain, attribs); + else +#endif /*NVTX_DISABLE*/ + return (nvtxResourceHandle_t)0; +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainResourceDestroy(nvtxResourceHandle_t resource) +{ +#ifndef NVTX_DISABLE + nvtxDomainResourceDestroy_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceDestroy_impl_fnptr; + if(local!=0) + (*local)(resource); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainNameCategoryA(nvtxDomainHandle_t domain, uint32_t category, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxDomainNameCategoryA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryA_impl_fnptr; + if(local!=0) + (*local)(domain, category, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainNameCategoryW(nvtxDomainHandle_t domain, uint32_t category, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxDomainNameCategoryW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryW_impl_fnptr; + if(local!=0) + (*local)(domain, category, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC nvtxStringHandle_t NVTX_API nvtxDomainRegisterStringA(nvtxDomainHandle_t domain, const char* string) +{ +#ifndef NVTX_DISABLE + nvtxDomainRegisterStringA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringA_impl_fnptr; + if(local!=0) + return (*local)(domain, string); + else +#endif /*NVTX_DISABLE*/ + return (nvtxStringHandle_t)0; +} + +NVTX_DECLSPEC nvtxStringHandle_t NVTX_API nvtxDomainRegisterStringW(nvtxDomainHandle_t domain, const wchar_t* string) +{ +#ifndef NVTX_DISABLE + nvtxDomainRegisterStringW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringW_impl_fnptr; + if(local!=0) + return (*local)(domain, string); + else +#endif /*NVTX_DISABLE*/ + return (nvtxStringHandle_t)0; +} + +NVTX_DECLSPEC nvtxDomainHandle_t NVTX_API nvtxDomainCreateA(const char* message) +{ +#ifndef NVTX_DISABLE + nvtxDomainCreateA_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateA_impl_fnptr; + if(local!=0) + return (*local)(message); + else +#endif /*NVTX_DISABLE*/ + return (nvtxDomainHandle_t)0; +} + +NVTX_DECLSPEC nvtxDomainHandle_t NVTX_API nvtxDomainCreateW(const wchar_t* message) +{ +#ifndef NVTX_DISABLE + nvtxDomainCreateW_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateW_impl_fnptr; + if(local!=0) + return (*local)(message); + else +#endif /*NVTX_DISABLE*/ + return (nvtxDomainHandle_t)0; +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainDestroy(nvtxDomainHandle_t domain) +{ +#ifndef NVTX_DISABLE + nvtxDomainDestroy_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainDestroy_impl_fnptr; + if(local!=0) + (*local)(domain); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxInitialize(const void* reserved) +{ +#ifndef NVTX_DISABLE + nvtxInitialize_impl_fntype local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxInitialize_impl_fnptr; + if(local!=0) + (*local)(reserved); +#endif /*NVTX_DISABLE*/ +} diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCudaRt_v3.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCudaRt_v3.h new file mode 100644 index 0000000000000000000000000000000000000000..24be8bd4722506d4ca318b07519884fc407847cd --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCudaRt_v3.h @@ -0,0 +1,112 @@ +/* This file was procedurally generated! Do not modify this file by hand. */ + +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTX_IMPL_GUARD_CUDART +#error Never include this file directly -- it is automatically included by nvToolsExtCudaRt.h (except when NVTX_NO_IMPL is defined). +#endif + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +//typedef void (NVTX_API * nvtxNameCudaDeviceA_impl_fntype)(int device, const char* name); +//typedef void (NVTX_API * nvtxNameCudaDeviceW_impl_fntype)(int device, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCudaStreamA_impl_fntype)(cudaStream_t stream, const char* name); +typedef void (NVTX_API * nvtxNameCudaStreamW_impl_fntype)(cudaStream_t stream, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCudaEventA_impl_fntype)(cudaEvent_t event, const char* name); +typedef void (NVTX_API * nvtxNameCudaEventW_impl_fntype)(cudaEvent_t event, const wchar_t* name); + +NVTX_DECLSPEC void NVTX_API nvtxNameCudaDeviceA(int device, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCudaDeviceA_impl_fntype local = (nvtxNameCudaDeviceA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceA_impl_fnptr; + if(local!=0) + (*local)(device, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCudaDeviceW(int device, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCudaDeviceW_impl_fntype local = (nvtxNameCudaDeviceW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceW_impl_fnptr; + if(local!=0) + (*local)(device, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCudaStreamA(cudaStream_t stream, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCudaStreamA_impl_fntype local = (nvtxNameCudaStreamA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamA_impl_fnptr; + if(local!=0) + (*local)(stream, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCudaStreamW(cudaStream_t stream, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCudaStreamW_impl_fntype local = (nvtxNameCudaStreamW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamW_impl_fnptr; + if(local!=0) + (*local)(stream, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCudaEventA(cudaEvent_t event, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCudaEventA_impl_fntype local = (nvtxNameCudaEventA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventA_impl_fnptr; + if(local!=0) + (*local)(event, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCudaEventW(cudaEvent_t event, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCudaEventW_impl_fntype local = (nvtxNameCudaEventW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventW_impl_fnptr; + if(local!=0) + (*local)(event, name); +#endif /*NVTX_DISABLE*/ +} + +#ifdef __cplusplus +} /* extern "C" */ +#endif /* __cplusplus */ + diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCuda_v3.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCuda_v3.h new file mode 100644 index 0000000000000000000000000000000000000000..ee30111bd123b2c1706f23e73e3803b8c1a02927 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplCuda_v3.h @@ -0,0 +1,133 @@ +/* This file was procedurally generated! Do not modify this file by hand. */ + +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTX_IMPL_GUARD_CUDA +#error Never include this file directly -- it is automatically included by nvToolsExtCuda.h (except when NVTX_NO_IMPL is defined). +#endif + + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +typedef void (NVTX_API * nvtxNameCuDeviceA_impl_fntype)(CUdevice device, const char* name); +typedef void (NVTX_API * nvtxNameCuDeviceW_impl_fntype)(CUdevice device, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCuContextA_impl_fntype)(CUcontext context, const char* name); +typedef void (NVTX_API * nvtxNameCuContextW_impl_fntype)(CUcontext context, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCuStreamA_impl_fntype)(CUstream stream, const char* name); +typedef void (NVTX_API * nvtxNameCuStreamW_impl_fntype)(CUstream stream, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCuEventA_impl_fntype)(CUevent event, const char* name); +typedef void (NVTX_API * nvtxNameCuEventW_impl_fntype)(CUevent event, const wchar_t* name); + +NVTX_DECLSPEC void NVTX_API nvtxNameCuDeviceA(CUdevice device, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuDeviceA_impl_fntype local = (nvtxNameCuDeviceA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceA_impl_fnptr; + if(local!=0) + (*local)(device, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCuDeviceW(CUdevice device, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuDeviceW_impl_fntype local = (nvtxNameCuDeviceW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceW_impl_fnptr; + if(local!=0) + (*local)(device, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCuContextA(CUcontext context, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuContextA_impl_fntype local = (nvtxNameCuContextA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextA_impl_fnptr; + if(local!=0) + (*local)(context, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCuContextW(CUcontext context, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuContextW_impl_fntype local = (nvtxNameCuContextW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextW_impl_fnptr; + if(local!=0) + (*local)(context, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCuStreamA(CUstream stream, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuStreamA_impl_fntype local = (nvtxNameCuStreamA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamA_impl_fnptr; + if(local!=0) + (*local)(stream, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCuStreamW(CUstream stream, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuStreamW_impl_fntype local = (nvtxNameCuStreamW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamW_impl_fnptr; + if(local!=0) + (*local)(stream, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCuEventA(CUevent event, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuEventA_impl_fntype local = (nvtxNameCuEventA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventA_impl_fnptr; + if(local!=0) + (*local)(event, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameCuEventW(CUevent event, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameCuEventW_impl_fntype local = (nvtxNameCuEventW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventW_impl_fnptr; + if(local!=0) + (*local)(event, name); +#endif /*NVTX_DISABLE*/ +} + +#ifdef __cplusplus +} /* extern "C" */ +#endif /* __cplusplus */ + diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplOpenCL_v3.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplOpenCL_v3.h new file mode 100644 index 0000000000000000000000000000000000000000..0e73224cce26b49c8f7585be3a41dd0f428fe07e --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplOpenCL_v3.h @@ -0,0 +1,192 @@ +/* This file was procedurally generated! Do not modify this file by hand. */ + +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTX_IMPL_GUARD_OPENCL +#error Never include this file directly -- it is automatically included by nvToolsExtCuda.h (except when NVTX_NO_IMPL is defined). +#endif + + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +typedef void (NVTX_API * nvtxNameClDeviceA_impl_fntype)(cl_device_id device, const char* name); +typedef void (NVTX_API * nvtxNameClDeviceW_impl_fntype)(cl_device_id device, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClContextA_impl_fntype)(cl_context context, const char* name); +typedef void (NVTX_API * nvtxNameClContextW_impl_fntype)(cl_context context, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClCommandQueueA_impl_fntype)(cl_command_queue command_queue, const char* name); +typedef void (NVTX_API * nvtxNameClCommandQueueW_impl_fntype)(cl_command_queue command_queue, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClMemObjectA_impl_fntype)(cl_mem memobj, const char* name); +typedef void (NVTX_API * nvtxNameClMemObjectW_impl_fntype)(cl_mem memobj, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClSamplerA_impl_fntype)(cl_sampler sampler, const char* name); +typedef void (NVTX_API * nvtxNameClSamplerW_impl_fntype)(cl_sampler sampler, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClProgramA_impl_fntype)(cl_program program, const char* name); +typedef void (NVTX_API * nvtxNameClProgramW_impl_fntype)(cl_program program, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClEventA_impl_fntype)(cl_event evnt, const char* name); +typedef void (NVTX_API * nvtxNameClEventW_impl_fntype)(cl_event evnt, const wchar_t* name); + +NVTX_DECLSPEC void NVTX_API nvtxNameClDeviceA(cl_device_id device, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClDeviceA_impl_fntype local = (nvtxNameClDeviceA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceA_impl_fnptr; + if(local!=0) + (*local)(device, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClDeviceW(cl_device_id device, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClDeviceW_impl_fntype local = (nvtxNameClDeviceW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceW_impl_fnptr; + if(local!=0) + (*local)(device, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClContextA(cl_context context, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClContextA_impl_fntype local = (nvtxNameClContextA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextA_impl_fnptr; + if(local!=0) + (*local)(context, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClContextW(cl_context context, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClContextW_impl_fntype local = (nvtxNameClContextW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextW_impl_fnptr; + if(local!=0) + (*local)(context, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClCommandQueueA(cl_command_queue command_queue, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClCommandQueueA_impl_fntype local = (nvtxNameClCommandQueueA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueA_impl_fnptr; + if(local!=0) + (*local)(command_queue, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClCommandQueueW(cl_command_queue command_queue, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClCommandQueueW_impl_fntype local = (nvtxNameClCommandQueueW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueW_impl_fnptr; + if(local!=0) + (*local)(command_queue, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClMemObjectA(cl_mem memobj, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClMemObjectA_impl_fntype local = (nvtxNameClMemObjectA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectA_impl_fnptr; + if(local!=0) + (*local)(memobj, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClMemObjectW(cl_mem memobj, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClMemObjectW_impl_fntype local = (nvtxNameClMemObjectW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectW_impl_fnptr; + if(local!=0) + (*local)(memobj, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClSamplerA(cl_sampler sampler, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClSamplerA_impl_fntype local = (nvtxNameClSamplerA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerA_impl_fnptr; + if(local!=0) + (*local)(sampler, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClSamplerW(cl_sampler sampler, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClSamplerW_impl_fntype local = (nvtxNameClSamplerW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerW_impl_fnptr; + if(local!=0) + (*local)(sampler, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClProgramA(cl_program program, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClProgramA_impl_fntype local = (nvtxNameClProgramA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramA_impl_fnptr; + if(local!=0) + (*local)(program, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClProgramW(cl_program program, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClProgramW_impl_fntype local = (nvtxNameClProgramW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramW_impl_fnptr; + if(local!=0) + (*local)(program, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClEventA(cl_event evnt, const char* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClEventA_impl_fntype local = (nvtxNameClEventA_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventA_impl_fnptr; + if(local!=0) + (*local)(evnt, name); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxNameClEventW(cl_event evnt, const wchar_t* name) +{ +#ifndef NVTX_DISABLE + nvtxNameClEventW_impl_fntype local = (nvtxNameClEventW_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventW_impl_fnptr; + if(local!=0) + (*local)(evnt, name); +#endif /*NVTX_DISABLE*/ +} + +#ifdef __cplusplus +} /* extern "C" */ +#endif /* __cplusplus */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplSync_v3.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplSync_v3.h new file mode 100644 index 0000000000000000000000000000000000000000..accc621a3d5071438f6ed7b9e2192ea8ad56977c --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxImplSync_v3.h @@ -0,0 +1,114 @@ +/* This file was procedurally generated! Do not modify this file by hand. */ + +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTX_IMPL_GUARD_SYNC +#error Never include this file directly -- it is automatically included by nvToolsExtCuda.h (except when NVTX_NO_IMPL is defined). +#endif + + +#ifdef __cplusplus +extern "C" { +#endif /* __cplusplus */ + +typedef nvtxSyncUser_t (NVTX_API * nvtxDomainSyncUserCreate_impl_fntype)(nvtxDomainHandle_t domain, const nvtxSyncUserAttributes_t* attribs); +typedef void (NVTX_API * nvtxDomainSyncUserDestroy_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserAcquireStart_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserAcquireFailed_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserAcquireSuccess_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserReleasing_impl_fntype)(nvtxSyncUser_t handle); + +NVTX_DECLSPEC nvtxSyncUser_t NVTX_API nvtxDomainSyncUserCreate(nvtxDomainHandle_t domain, const nvtxSyncUserAttributes_t* attribs) +{ +#ifndef NVTX_DISABLE + nvtxDomainSyncUserCreate_impl_fntype local = (nvtxDomainSyncUserCreate_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserCreate_impl_fnptr; + if(local!=0) + return (*local)(domain, attribs); + else +#endif /*NVTX_DISABLE*/ + return (nvtxSyncUser_t)0; +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserDestroy(nvtxSyncUser_t handle) +{ +#ifndef NVTX_DISABLE + nvtxDomainSyncUserDestroy_impl_fntype local = (nvtxDomainSyncUserDestroy_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserDestroy_impl_fnptr; + if(local!=0) + (*local)(handle); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireStart(nvtxSyncUser_t handle) +{ +#ifndef NVTX_DISABLE + nvtxDomainSyncUserAcquireStart_impl_fntype local = (nvtxDomainSyncUserAcquireStart_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireStart_impl_fnptr; + if(local!=0) + (*local)(handle); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireFailed(nvtxSyncUser_t handle) +{ +#ifndef NVTX_DISABLE + nvtxDomainSyncUserAcquireFailed_impl_fntype local = (nvtxDomainSyncUserAcquireFailed_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireFailed_impl_fnptr; + if(local!=0) + (*local)(handle); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserAcquireSuccess(nvtxSyncUser_t handle) +{ +#ifndef NVTX_DISABLE + nvtxDomainSyncUserAcquireSuccess_impl_fntype local = (nvtxDomainSyncUserAcquireSuccess_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireSuccess_impl_fnptr; + if(local!=0) + (*local)(handle); +#endif /*NVTX_DISABLE*/ +} + +NVTX_DECLSPEC void NVTX_API nvtxDomainSyncUserReleasing(nvtxSyncUser_t handle) +{ +#ifndef NVTX_DISABLE + nvtxDomainSyncUserReleasing_impl_fntype local = (nvtxDomainSyncUserReleasing_impl_fntype)NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserReleasing_impl_fnptr; + if(local!=0) + (*local)(handle); +#endif /*NVTX_DISABLE*/ +} + +#ifdef __cplusplus +} /* extern "C" */ +#endif /* __cplusplus */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInit.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInit.h new file mode 100644 index 0000000000000000000000000000000000000000..f2bbd3a120da351f1ad1d81dde6bfb46244559cc --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInit.h @@ -0,0 +1,343 @@ +/* This file was procedurally generated! Do not modify this file by hand. */ + +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +#ifndef NVTX_IMPL_GUARD +#error Never include this file directly -- it is automatically included by nvToolsExt.h (except when NVTX_NO_IMPL is defined). +#endif + +/* ---- Platform-independent helper definitions and functions ---- */ + +/* Prefer macros over inline functions to reduce symbol resolution at link time */ + +#if defined(_WIN32) +#define NVTX_PATHCHAR wchar_t +#define NVTX_STR(x) L##x +#define NVTX_GETENV _wgetenv +#define NVTX_BUFSIZE MAX_PATH +#define NVTX_DLLHANDLE HMODULE +#define NVTX_DLLOPEN(x) LoadLibraryW(x) +#define NVTX_DLLFUNC GetProcAddress +#define NVTX_DLLCLOSE FreeLibrary +#define NVTX_YIELD() SwitchToThread() +#define NVTX_MEMBAR() MemoryBarrier() +#define NVTX_ATOMIC_WRITE_32(address, value) InterlockedExchange((volatile LONG*)address, value) +#define NVTX_ATOMIC_CAS_32(old, address, exchange, comparand) old = InterlockedCompareExchange((volatile LONG*)address, exchange, comparand) +#elif defined(__GNUC__) +#define NVTX_PATHCHAR char +#define NVTX_STR(x) x +#define NVTX_GETENV getenv +#define NVTX_BUFSIZE PATH_MAX +#define NVTX_DLLHANDLE void* +#define NVTX_DLLOPEN(x) dlopen(x, RTLD_LAZY) +#define NVTX_DLLFUNC dlsym +#define NVTX_DLLCLOSE dlclose +#define NVTX_YIELD() sched_yield() +#define NVTX_MEMBAR() __sync_synchronize() +/* Ensure full memory barrier for atomics, to match Windows functions */ +#define NVTX_ATOMIC_WRITE_32(address, value) __sync_synchronize(); __sync_lock_test_and_set(address, value) +#define NVTX_ATOMIC_CAS_32(old, address, exchange, comparand) __sync_synchronize(); old = __sync_val_compare_and_swap(address, exchange, comparand) +#else +#error The library does not support your configuration! +#endif + +/* Define this to 1 for platforms that where pre-injected libraries can be discovered. */ +#if defined(_WIN32) +/* TODO */ +#define NVTX_SUPPORT_ALREADY_INJECTED_LIBRARY 0 +#else +#define NVTX_SUPPORT_ALREADY_INJECTED_LIBRARY 0 +#endif + +/* Define this to 1 for platforms that support environment variables */ +/* TODO: Detect UWP, a.k.a. Windows Store app, and set this to 0. */ +/* Try: #if defined(WINAPI_FAMILY_PARTITION) && WINAPI_FAMILY_PARTITION(WINAPI_PARTITION_APP) */ +#define NVTX_SUPPORT_ENV_VARS 1 + +/* Define this to 1 for platforms that support dynamic/shared libraries */ +#define NVTX_SUPPORT_DYNAMIC_INJECTION_LIBRARY 1 + +/* Injection libraries implementing InitializeInjectionNvtx2 may be statically linked, +* and this will override any dynamic injection. Useful for platforms where dynamic +* injection is not available. Since weak symbols not explicitly marked extern are +* guaranteed to be initialized to zero if no definitions are found by the linker, the +* dynamic injection process proceeds normally if pfnInitializeInjectionNvtx2 is 0. */ +#if defined(__GNUC__) && !defined(_WIN32) && !defined(__CYGWIN__) +#define NVTX_SUPPORT_STATIC_INJECTION_LIBRARY 1 +/* To statically inject an NVTX library, define InitializeInjectionNvtx2_fnptr as a normal +* symbol (not weak) pointing to the implementation of InitializeInjectionNvtx2 (which +* does not need to be named "InitializeInjectionNvtx2" as is necessary in a dynamic +* injection library. */ +__attribute__((weak)) NvtxInitializeInjectionNvtxFunc_t InitializeInjectionNvtx2_fnptr; +#else +#define NVTX_SUPPORT_STATIC_INJECTION_LIBRARY 0 +#endif + +/* This function tries to find or load an NVTX injection library and get the +* address of its InitializeInjection2 function. If such a function pointer +* is found, it is called, and passed the address of this NVTX instance's +* nvtxGetExportTable function, so the injection can attach to this instance. +* If the initialization fails for any reason, any dynamic library loaded will +* be freed, and all NVTX implementation functions will be set to no-ops. If +* initialization succeeds, NVTX functions not attached to the tool will be set +* to no-ops. This is implemented as one function instead of several small +* functions to minimize the number of weak symbols the linker must resolve. +* Order of search is: +* - Pre-injected library exporting InitializeInjectionNvtx2 +* - Loadable library exporting InitializeInjectionNvtx2 +* - Path specified by env var NVTX_INJECTION??_PATH (?? is 32 or 64) +* - On Android, libNvtxInjection??.so within the package (?? is 32 or 64) +* - Statically-linked injection library defining InitializeInjectionNvtx2_fnptr +*/ +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_VERSIONED_IDENTIFIER(nvtxInitializeInjectionLibrary)(void); +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_VERSIONED_IDENTIFIER(nvtxInitializeInjectionLibrary)(void) +{ + const char* const initFuncName = "InitializeInjectionNvtx2"; + NvtxInitializeInjectionNvtxFunc_t init_fnptr = (NvtxInitializeInjectionNvtxFunc_t)0; + NVTX_DLLHANDLE injectionLibraryHandle = (NVTX_DLLHANDLE)0; + int entryPointStatus = 0; + +#if NVTX_SUPPORT_ALREADY_INJECTED_LIBRARY + /* Use POSIX global symbol chain to query for init function from any module */ + init_fnptr = (NvtxInitializeInjectionNvtxFunc_t)NVTX_DLLFUNC(0, initFuncName); +#endif + +#if NVTX_SUPPORT_DYNAMIC_INJECTION_LIBRARY + /* Try discovering dynamic injection library to load */ + if (!init_fnptr) + { +#if NVTX_SUPPORT_ENV_VARS + /* If env var NVTX_INJECTION64_PATH is set, it should contain the path + * to a 64-bit dynamic NVTX injection library (and similar for 32-bit). */ + const NVTX_PATHCHAR* const nvtxEnvVarName = (sizeof(void*) == 4) + ? NVTX_STR("NVTX_INJECTION32_PATH") + : NVTX_STR("NVTX_INJECTION64_PATH"); +#endif /* NVTX_SUPPORT_ENV_VARS */ + NVTX_PATHCHAR injectionLibraryPathBuf[NVTX_BUFSIZE]; + const NVTX_PATHCHAR* injectionLibraryPath = (const NVTX_PATHCHAR*)0; + + /* Refer to this variable explicitly in case all references to it are #if'ed out */ + (void)injectionLibraryPathBuf; + +#if NVTX_SUPPORT_ENV_VARS + /* Disable the warning for getenv & _wgetenv -- this usage is safe because + * these functions are not called again before using the returned value. */ +#if defined(_MSC_VER) +#pragma warning( push ) +#pragma warning( disable : 4996 ) +#endif + injectionLibraryPath = NVTX_GETENV(nvtxEnvVarName); +#if defined(_MSC_VER) +#pragma warning( pop ) +#endif +#endif + +#if defined(__ANDROID__) + if (!injectionLibraryPath) + { + const char *bits = (sizeof(void*) == 4) ? "32" : "64"; + char cmdlineBuf[32]; + char pkgName[PATH_MAX]; + int count; + int pid; + FILE *fp; + size_t bytesRead; + size_t pos; + + pid = (int)getpid(); + count = snprintf(cmdlineBuf, sizeof(cmdlineBuf), "/proc/%d/cmdline", pid); + if (count <= 0 || count >= (int)sizeof(cmdlineBuf)) + { + NVTX_ERR("Path buffer too small for: /proc/%d/cmdline\n", pid); + return NVTX_ERR_INIT_ACCESS_LIBRARY; + } + + fp = fopen(cmdlineBuf, "r"); + if (!fp) + { + NVTX_ERR("File couldn't be opened: %s\n", cmdlineBuf); + return NVTX_ERR_INIT_ACCESS_LIBRARY; + } + + bytesRead = fread(pkgName, 1, sizeof(pkgName) - 1, fp); + fclose(fp); + if (bytesRead == 0) + { + NVTX_ERR("Package name couldn't be read from file: %s\n", cmdlineBuf); + return NVTX_ERR_INIT_ACCESS_LIBRARY; + } + + pkgName[bytesRead] = 0; + + /* String can contain colon as a process separator. In this case the package name is before the colon. */ + pos = 0; + while (pos < bytesRead && pkgName[pos] != ':' && pkgName[pos] != '\0') + { + ++pos; + } + pkgName[pos] = 0; + + count = snprintf(injectionLibraryPathBuf, NVTX_BUFSIZE, "/data/data/%s/files/libNvtxInjection%s.so", pkgName, bits); + if (count <= 0 || count >= NVTX_BUFSIZE) + { + NVTX_ERR("Path buffer too small for: /data/data/%s/files/libNvtxInjection%s.so\n", pkgName, bits); + return NVTX_ERR_INIT_ACCESS_LIBRARY; + } + + /* On Android, verify path is accessible due to aggressive file access restrictions. */ + /* For dlopen, if the filename contains a leading slash, then it is interpreted as a */ + /* relative or absolute pathname; otherwise it will follow the rules in ld.so. */ + if (injectionLibraryPathBuf[0] == '/') + { +#if (__ANDROID_API__ < 21) + int access_err = access(injectionLibraryPathBuf, F_OK | R_OK); +#else + int access_err = faccessat(AT_FDCWD, injectionLibraryPathBuf, F_OK | R_OK, 0); +#endif + if (access_err != 0) + { + NVTX_ERR("Injection library path wasn't accessible [code=%s] [path=%s]\n", strerror(errno), injectionLibraryPathBuf); + return NVTX_ERR_INIT_ACCESS_LIBRARY; + } + } + injectionLibraryPath = injectionLibraryPathBuf; + } +#endif + + /* At this point, injectionLibraryPath is specified if a dynamic + * injection library was specified by a tool. */ + if (injectionLibraryPath) + { + /* Load the injection library */ + injectionLibraryHandle = NVTX_DLLOPEN(injectionLibraryPath); + if (!injectionLibraryHandle) + { + NVTX_ERR("Failed to load injection library\n"); + return NVTX_ERR_INIT_LOAD_LIBRARY; + } + else + { + /* Attempt to get the injection library's entry-point */ + init_fnptr = (NvtxInitializeInjectionNvtxFunc_t)NVTX_DLLFUNC(injectionLibraryHandle, initFuncName); + if (!init_fnptr) + { + NVTX_DLLCLOSE(injectionLibraryHandle); + NVTX_ERR("Failed to get address of function InitializeInjectionNvtx2 from injection library\n"); + return NVTX_ERR_INIT_MISSING_LIBRARY_ENTRY_POINT; + } + } + } + } +#endif + +#if NVTX_SUPPORT_STATIC_INJECTION_LIBRARY + if (!init_fnptr) + { + /* Check weakly-defined function pointer. A statically-linked injection can define this as + * a normal symbol and it will take precedence over a dynamic injection. */ + if (InitializeInjectionNvtx2_fnptr) + { + init_fnptr = InitializeInjectionNvtx2_fnptr; + } + } +#endif + + /* At this point, if init_fnptr is not set, then no tool has specified + * an NVTX injection library -- return non-success result so all NVTX + * API functions will be set to no-ops. */ + if (!init_fnptr) + { + return NVTX_ERR_NO_INJECTION_LIBRARY_AVAILABLE; + } + + /* Invoke injection library's initialization function. If it returns + * 0 (failure) and a dynamic injection was loaded, unload it. */ + entryPointStatus = init_fnptr(NVTX_VERSIONED_IDENTIFIER(nvtxGetExportTable)); + if (entryPointStatus == 0) + { + NVTX_ERR("Failed to initialize injection library -- initialization function returned 0\n"); + if (injectionLibraryHandle) + { + NVTX_DLLCLOSE(injectionLibraryHandle); + } + return NVTX_ERR_INIT_FAILED_LIBRARY_ENTRY_POINT; + } + + return NVTX_SUCCESS; +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(void) +{ + unsigned int old; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).initState == NVTX_INIT_STATE_COMPLETE) + { + return; + } + + NVTX_ATOMIC_CAS_32( + old, + &NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).initState, + NVTX_INIT_STATE_STARTED, + NVTX_INIT_STATE_FRESH); + if (old == NVTX_INIT_STATE_FRESH) + { + int result; + int forceAllToNoops; + + /* Load & initialize injection library -- it will assign the function pointers */ + result = NVTX_VERSIONED_IDENTIFIER(nvtxInitializeInjectionLibrary)(); + + /* Set all pointers not assigned by the injection to null */ + forceAllToNoops = result != NVTX_SUCCESS; /* Set all to null if injection init failed */ + NVTX_VERSIONED_IDENTIFIER(nvtxSetInitFunctionsToNoops)(forceAllToNoops); + + /* Signal that initialization has finished, so now the assigned function pointers will be used */ + NVTX_ATOMIC_WRITE_32( + &NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).initState, + NVTX_INIT_STATE_COMPLETE); + } + else /* Spin-wait until initialization has finished */ + { + NVTX_MEMBAR(); + while (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).initState != NVTX_INIT_STATE_COMPLETE) + { + NVTX_YIELD(); + NVTX_MEMBAR(); + } + } +} diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInitDecls.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInitDecls.h new file mode 100644 index 0000000000000000000000000000000000000000..757a7296093750e75721fb93855d0aa37da64103 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInitDecls.h @@ -0,0 +1,73 @@ +#ifndef NVTX_IMPL_GUARD +#error Never include this file directly -- it is automatically included by nvToolsExt.h (except when NVTX_NO_IMPL is defined). +#endif + +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxMarkEx_impl_init)(const nvtxEventAttributes_t* eventAttrib); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxMarkA_impl_init)(const char* message); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxMarkW_impl_init)(const wchar_t* message); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartEx_impl_init)(const nvtxEventAttributes_t* eventAttrib); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartA_impl_init)(const char* message); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartW_impl_init)(const wchar_t* message); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeEnd_impl_init)(nvtxRangeId_t id); +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePushEx_impl_init)(const nvtxEventAttributes_t* eventAttrib); +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePushA_impl_init)(const char* message); +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePushW_impl_init)(const wchar_t* message); +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePop_impl_init)(void); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryA_impl_init)(uint32_t category, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryW_impl_init)(uint32_t category, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadA_impl_init)(uint32_t threadId, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadW_impl_init)(uint32_t threadId, const wchar_t* name); + +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceA_impl_init)(nvtx_CUdevice device, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceW_impl_init)(nvtx_CUdevice device, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextA_impl_init)(nvtx_CUcontext context, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextW_impl_init)(nvtx_CUcontext context, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamA_impl_init)(nvtx_CUstream stream, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamW_impl_init)(nvtx_CUstream stream, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventA_impl_init)(nvtx_CUevent event, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventW_impl_init)(nvtx_CUevent event, const wchar_t* name); + +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceA_impl_init)(nvtx_cl_device_id device, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceW_impl_init)(nvtx_cl_device_id device, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextA_impl_init)(nvtx_cl_context context, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextW_impl_init)(nvtx_cl_context context, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueA_impl_init)(nvtx_cl_command_queue command_queue, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueW_impl_init)(nvtx_cl_command_queue command_queue, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectA_impl_init)(nvtx_cl_mem memobj, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectW_impl_init)(nvtx_cl_mem memobj, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerA_impl_init)(nvtx_cl_sampler sampler, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerW_impl_init)(nvtx_cl_sampler sampler, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramA_impl_init)(nvtx_cl_program program, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramW_impl_init)(nvtx_cl_program program, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventA_impl_init)(nvtx_cl_event evnt, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventW_impl_init)(nvtx_cl_event evnt, const wchar_t* name); + +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceA_impl_init)(int device, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceW_impl_init)(int device, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamA_impl_init)(nvtx_cudaStream_t stream, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamW_impl_init)(nvtx_cudaStream_t stream, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventA_impl_init)(nvtx_cudaEvent_t event, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventW_impl_init)(nvtx_cudaEvent_t event, const wchar_t* name); + +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainMarkEx_impl_init)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeStartEx_impl_init)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeEnd_impl_init)(nvtxDomainHandle_t domain, nvtxRangeId_t id); +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePushEx_impl_init)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +NVTX_LINKONCE_FWDDECL_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePop_impl_init)(nvtxDomainHandle_t domain); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxResourceHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceCreate_impl_init)(nvtxDomainHandle_t domain, nvtxResourceAttributes_t* attribs); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceDestroy_impl_init)(nvtxResourceHandle_t resource); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryA_impl_init)(nvtxDomainHandle_t domain, uint32_t category, const char* name); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryW_impl_init)(nvtxDomainHandle_t domain, uint32_t category, const wchar_t* name); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxStringHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringA_impl_init)(nvtxDomainHandle_t domain, const char* string); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxStringHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringW_impl_init)(nvtxDomainHandle_t domain, const wchar_t* string); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxDomainHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateA_impl_init)(const char* message); +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxDomainHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateW_impl_init)(const wchar_t* message); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainDestroy_impl_init)(nvtxDomainHandle_t domain); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxInitialize_impl_init)(const void* reserved); + +NVTX_LINKONCE_FWDDECL_FUNCTION nvtxSyncUser_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserCreate_impl_init)(nvtxDomainHandle_t domain, const nvtxSyncUserAttributes_t* attribs); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserDestroy_impl_init)(nvtxSyncUser_t handle); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireStart_impl_init)(nvtxSyncUser_t handle); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireFailed_impl_init)(nvtxSyncUser_t handle); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireSuccess_impl_init)(nvtxSyncUser_t handle); +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserReleasing_impl_init)(nvtxSyncUser_t handle); diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInitDefs.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInitDefs.h new file mode 100644 index 0000000000000000000000000000000000000000..93d5f0e975059b00f8fb32d95ab06483cc53d80e --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxInitDefs.h @@ -0,0 +1,565 @@ +#ifndef NVTX_IMPL_GUARD +#error Never include this file directly -- it is automatically included by nvToolsExt.h (except when NVTX_NO_IMPL is defined). +#endif + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxMarkEx_impl_init)(const nvtxEventAttributes_t* eventAttrib){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxMarkEx(eventAttrib); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxMarkA_impl_init)(const char* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxMarkA(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxMarkW_impl_init)(const wchar_t* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxMarkW(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartEx_impl_init)(const nvtxEventAttributes_t* eventAttrib){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxRangeStartEx(eventAttrib); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartA_impl_init)(const char* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxRangeStartA(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartW_impl_init)(const wchar_t* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxRangeStartW(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangeEnd_impl_init)(nvtxRangeId_t id){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxRangeEnd(id); +} + +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePushEx_impl_init)(const nvtxEventAttributes_t* eventAttrib){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxRangePushEx(eventAttrib); +} + +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePushA_impl_init)(const char* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxRangePushA(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePushW_impl_init)(const wchar_t* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxRangePushW(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxRangePop_impl_init)(void){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxRangePop(); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryA_impl_init)(uint32_t category, const char* name){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxNameCategoryA(category, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryW_impl_init)(uint32_t category, const wchar_t* name){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxNameCategoryW(category, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadA_impl_init)(uint32_t threadId, const char* name){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxNameOsThreadA(threadId, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadW_impl_init)(uint32_t threadId, const wchar_t* name){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxNameOsThreadW(threadId, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainMarkEx_impl_init)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxDomainMarkEx(domain, eventAttrib); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxRangeId_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeStartEx_impl_init)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainRangeStartEx(domain, eventAttrib); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeEnd_impl_init)(nvtxDomainHandle_t domain, nvtxRangeId_t id){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxDomainRangeEnd(domain, id); +} + +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePushEx_impl_init)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainRangePushEx(domain, eventAttrib); +} + +NVTX_LINKONCE_DEFINE_FUNCTION int NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePop_impl_init)(nvtxDomainHandle_t domain){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainRangePop(domain); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxResourceHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceCreate_impl_init)(nvtxDomainHandle_t domain, nvtxResourceAttributes_t* attribs){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainResourceCreate(domain, attribs); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceDestroy_impl_init)(nvtxResourceHandle_t resource){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxDomainResourceDestroy(resource); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryA_impl_init)(nvtxDomainHandle_t domain, uint32_t category, const char* name){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxDomainNameCategoryA(domain, category, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryW_impl_init)(nvtxDomainHandle_t domain, uint32_t category, const wchar_t* name){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxDomainNameCategoryW(domain, category, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxStringHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringA_impl_init)(nvtxDomainHandle_t domain, const char* string){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainRegisterStringA(domain, string); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxStringHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringW_impl_init)(nvtxDomainHandle_t domain, const wchar_t* string){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainRegisterStringW(domain, string); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxDomainHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateA_impl_init)(const char* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainCreateA(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxDomainHandle_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateW_impl_init)(const wchar_t* message){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + return nvtxDomainCreateW(message); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainDestroy_impl_init)(nvtxDomainHandle_t domain){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxDomainDestroy(domain); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxInitialize_impl_init)(const void* reserved){ + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + nvtxInitialize(reserved); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceA_impl_init)(nvtx_CUdevice device, const char* name){ + nvtxNameCuDeviceA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceA_impl_fnptr; + if (local) + local(device, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceW_impl_init)(nvtx_CUdevice device, const wchar_t* name){ + nvtxNameCuDeviceW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceW_impl_fnptr; + if (local) + local(device, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextA_impl_init)(nvtx_CUcontext context, const char* name){ + nvtxNameCuContextA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextA_impl_fnptr; + if (local) + local(context, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextW_impl_init)(nvtx_CUcontext context, const wchar_t* name){ + nvtxNameCuContextW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextW_impl_fnptr; + if (local) + local(context, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamA_impl_init)(nvtx_CUstream stream, const char* name){ + nvtxNameCuStreamA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamA_impl_fnptr; + if (local) + local(stream, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamW_impl_init)(nvtx_CUstream stream, const wchar_t* name){ + nvtxNameCuStreamW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamW_impl_fnptr; + if (local) + local(stream, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventA_impl_init)(nvtx_CUevent event, const char* name){ + nvtxNameCuEventA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventA_impl_fnptr; + if (local) + local(event, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventW_impl_init)(nvtx_CUevent event, const wchar_t* name){ + nvtxNameCuEventW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventW_impl_fnptr; + if (local) + local(event, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceA_impl_init)(int device, const char* name){ + nvtxNameCudaDeviceA_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceA_impl_fnptr; + if (local) + local(device, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceW_impl_init)(int device, const wchar_t* name){ + nvtxNameCudaDeviceW_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceW_impl_fnptr; + if (local) + local(device, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamA_impl_init)(nvtx_cudaStream_t stream, const char* name){ + nvtxNameCudaStreamA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamA_impl_fnptr; + if (local) + local(stream, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamW_impl_init)(nvtx_cudaStream_t stream, const wchar_t* name){ + nvtxNameCudaStreamW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamW_impl_fnptr; + if (local) + local(stream, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventA_impl_init)(nvtx_cudaEvent_t event, const char* name){ + nvtxNameCudaEventA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventA_impl_fnptr; + if (local) + local(event, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventW_impl_init)(nvtx_cudaEvent_t event, const wchar_t* name){ + nvtxNameCudaEventW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventW_impl_fnptr; + if (local) + local(event, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceA_impl_init)(nvtx_cl_device_id device, const char* name){ + nvtxNameClDeviceA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceA_impl_fnptr; + if (local) + local(device, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceW_impl_init)(nvtx_cl_device_id device, const wchar_t* name){ + nvtxNameClDeviceW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceW_impl_fnptr; + if (local) + local(device, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextA_impl_init)(nvtx_cl_context context, const char* name){ + nvtxNameClContextA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextA_impl_fnptr; + if (local) + local(context, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextW_impl_init)(nvtx_cl_context context, const wchar_t* name){ + nvtxNameClContextW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextW_impl_fnptr; + if (local) + local(context, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueA_impl_init)(nvtx_cl_command_queue command_queue, const char* name){ + nvtxNameClCommandQueueA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueA_impl_fnptr; + if (local) + local(command_queue, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueW_impl_init)(nvtx_cl_command_queue command_queue, const wchar_t* name){ + nvtxNameClCommandQueueW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueW_impl_fnptr; + if (local) + local(command_queue, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectA_impl_init)(nvtx_cl_mem memobj, const char* name){ + nvtxNameClMemObjectA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectA_impl_fnptr; + if (local) + local(memobj, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectW_impl_init)(nvtx_cl_mem memobj, const wchar_t* name){ + nvtxNameClMemObjectW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectW_impl_fnptr; + if (local) + local(memobj, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerA_impl_init)(nvtx_cl_sampler sampler, const char* name){ + nvtxNameClSamplerA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerA_impl_fnptr; + if (local) + local(sampler, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerW_impl_init)(nvtx_cl_sampler sampler, const wchar_t* name){ + nvtxNameClSamplerW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerW_impl_fnptr; + if (local) + local(sampler, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramA_impl_init)(nvtx_cl_program program, const char* name){ + nvtxNameClProgramA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramA_impl_fnptr; + if (local) + local(program, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramW_impl_init)(nvtx_cl_program program, const wchar_t* name){ + nvtxNameClProgramW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramW_impl_fnptr; + if (local) + local(program, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventA_impl_init)(nvtx_cl_event evnt, const char* name){ + nvtxNameClEventA_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventA_impl_fnptr; + if (local) + local(evnt, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventW_impl_init)(nvtx_cl_event evnt, const wchar_t* name){ + nvtxNameClEventW_fakeimpl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventW_impl_fnptr; + if (local) + local(evnt, name); +} + +NVTX_LINKONCE_DEFINE_FUNCTION nvtxSyncUser_t NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserCreate_impl_init)(nvtxDomainHandle_t domain, const nvtxSyncUserAttributes_t* attribs){ + nvtxDomainSyncUserCreate_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserCreate_impl_fnptr; + if (local) { + return local(domain, attribs); + } + return (nvtxSyncUser_t)0; +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserDestroy_impl_init)(nvtxSyncUser_t handle){ + nvtxDomainSyncUserDestroy_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserDestroy_impl_fnptr; + if (local) + local(handle); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireStart_impl_init)(nvtxSyncUser_t handle){ + nvtxDomainSyncUserAcquireStart_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireStart_impl_fnptr; + if (local) + local(handle); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireFailed_impl_init)(nvtxSyncUser_t handle){ + nvtxDomainSyncUserAcquireFailed_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireFailed_impl_fnptr; + if (local) + local(handle); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireSuccess_impl_init)(nvtxSyncUser_t handle){ + nvtxDomainSyncUserAcquireSuccess_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireSuccess_impl_fnptr; + if (local) + local(handle); +} + +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_API NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserReleasing_impl_init)(nvtxSyncUser_t handle){ + nvtxDomainSyncUserReleasing_impl_fntype local; + NVTX_VERSIONED_IDENTIFIER(nvtxInitOnce)(); + local = NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserReleasing_impl_fnptr; + if (local) + local(handle); +} + +NVTX_LINKONCE_FWDDECL_FUNCTION void NVTX_VERSIONED_IDENTIFIER(nvtxSetInitFunctionsToNoops)(int forceAllToNoops); +NVTX_LINKONCE_DEFINE_FUNCTION void NVTX_VERSIONED_IDENTIFIER(nvtxSetInitFunctionsToNoops)(int forceAllToNoops) +{ + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkEx_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxMarkEx_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkEx_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxMarkA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxMarkW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxMarkW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartEx_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartEx_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartEx_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangeStartW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeStartW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeEnd_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangeEnd_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangeEnd_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushEx_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangePushEx_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushEx_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangePushA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangePushW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePushW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePop_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxRangePop_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxRangePop_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCategoryW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCategoryW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameOsThreadW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameOsThreadW_impl_fnptr = NULL; + + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuDeviceW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuDeviceW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuContextW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuContextW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuStreamW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuStreamW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCuEventW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCuEventW_impl_fnptr = NULL; + + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClDeviceW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClDeviceW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClContextW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClContextW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClCommandQueueW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClCommandQueueW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClMemObjectW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClMemObjectW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClSamplerW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClSamplerW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClProgramW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClProgramW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameClEventW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameClEventW_impl_fnptr = NULL; + + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaDeviceW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaDeviceW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaStreamW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaStreamW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxNameCudaEventW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxNameCudaEventW_impl_fnptr = NULL; + + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainMarkEx_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainMarkEx_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainMarkEx_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeStartEx_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeStartEx_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeStartEx_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeEnd_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangeEnd_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangeEnd_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePushEx_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePushEx_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePushEx_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePop_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainRangePop_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRangePop_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceCreate_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceCreate_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceCreate_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceDestroy_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainResourceDestroy_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainResourceDestroy_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainNameCategoryW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainNameCategoryW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainRegisterStringW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainRegisterStringW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateA_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateA_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateA_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateW_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainCreateW_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainCreateW_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainDestroy_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainDestroy_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainDestroy_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxInitialize_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxInitialize_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxInitialize_impl_fnptr = NULL; + + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserCreate_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserCreate_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserCreate_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserDestroy_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserDestroy_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserDestroy_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireStart_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireStart_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireStart_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireFailed_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireFailed_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireFailed_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireSuccess_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserAcquireSuccess_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserAcquireSuccess_impl_fnptr = NULL; + if (NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserReleasing_impl_fnptr == NVTX_VERSIONED_IDENTIFIER(nvtxDomainSyncUserReleasing_impl_init) || forceAllToNoops) + NVTX_VERSIONED_IDENTIFIER(nvtxGlobals).nvtxDomainSyncUserReleasing_impl_fnptr = NULL; +} diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxLinkOnce.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxLinkOnce.h new file mode 100644 index 0000000000000000000000000000000000000000..6c6eaa732464519fc7d93f98b646729dab0db8b9 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxLinkOnce.h @@ -0,0 +1,75 @@ +#ifndef __NVTX_LINKONCE_H__ +#define __NVTX_LINKONCE_H__ + +/* This header defines macros to permit making definitions of global variables + * and functions in C/C++ header files which may be included multiple times in + * a translation unit or linkage unit. It allows authoring header-only libraries + * which can be used by multiple other header-only libraries (either as the same + * copy or multiple copies), and does not require any build changes, such as + * adding another .c file, linking a static library, or deploying a dynamic + * library. Globals defined with these macros have the property that they have + * the same address, pointing to a single instance, for the entire linkage unit. + * It is expected but not guaranteed that each linkage unit will have a separate + * instance. + * + * In some situations it is desirable to declare a variable without initializing + * it, refer to it in code or other variables' initializers, and then initialize + * it later. Similarly, functions can be prototyped, have their address taken, + * and then have their body defined later. In such cases, use the FWDDECL macros + * when forward-declaring LINKONCE global variables without initializers and + * function prototypes, and then use the DEFINE macros when later defining them. + * Although in many cases the FWDDECL macro is equivalent to the DEFINE macro, + * following this pattern makes code maximally portable. + */ + +#if defined(__MINGW32__) /* MinGW */ + #define NVTX_LINKONCE_WEAK __attribute__((section(".gnu.linkonce.0."))) + #if defined(__cplusplus) + #define NVTX_LINKONCE_DEFINE_GLOBAL __declspec(selectany) + #define NVTX_LINKONCE_DEFINE_FUNCTION extern "C" inline NVTX_LINKONCE_WEAK + #else + #define NVTX_LINKONCE_DEFINE_GLOBAL __declspec(selectany) + #define NVTX_LINKONCE_DEFINE_FUNCTION NVTX_LINKONCE_WEAK + #endif +#elif defined(_MSC_VER) /* MSVC */ + #if defined(__cplusplus) + #define NVTX_LINKONCE_DEFINE_GLOBAL extern "C" __declspec(selectany) + #define NVTX_LINKONCE_DEFINE_FUNCTION extern "C" inline + #else + #define NVTX_LINKONCE_DEFINE_GLOBAL __declspec(selectany) + #define NVTX_LINKONCE_DEFINE_FUNCTION __inline + #endif +#elif defined(__CYGWIN__) && defined(__clang__) /* Clang on Cygwin */ + #define NVTX_LINKONCE_WEAK __attribute__((section(".gnu.linkonce.0."))) + #if defined(__cplusplus) + #define NVTX_LINKONCE_DEFINE_GLOBAL NVTX_LINKONCE_WEAK + #define NVTX_LINKONCE_DEFINE_FUNCTION extern "C" NVTX_LINKONCE_WEAK + #else + #define NVTX_LINKONCE_DEFINE_GLOBAL NVTX_LINKONCE_WEAK + #define NVTX_LINKONCE_DEFINE_FUNCTION NVTX_LINKONCE_WEAK + #endif +#elif defined(__CYGWIN__) /* Assume GCC or compatible */ + #define NVTX_LINKONCE_WEAK __attribute__((weak)) + #if defined(__cplusplus) + #define NVTX_LINKONCE_DEFINE_GLOBAL __declspec(selectany) + #define NVTX_LINKONCE_DEFINE_FUNCTION extern "C" inline + #else + #define NVTX_LINKONCE_DEFINE_GLOBAL NVTX_LINKONCE_WEAK + #define NVTX_LINKONCE_DEFINE_FUNCTION NVTX_LINKONCE_WEAK + #endif +#else /* All others: Assume GCC, clang, or compatible */ + #define NVTX_LINKONCE_WEAK __attribute__((weak)) + #define NVTX_LINKONCE_HIDDEN __attribute__((visibility("hidden"))) + #if defined(__cplusplus) + #define NVTX_LINKONCE_DEFINE_GLOBAL NVTX_LINKONCE_HIDDEN NVTX_LINKONCE_WEAK + #define NVTX_LINKONCE_DEFINE_FUNCTION extern "C" NVTX_LINKONCE_HIDDEN inline + #else + #define NVTX_LINKONCE_DEFINE_GLOBAL NVTX_LINKONCE_HIDDEN NVTX_LINKONCE_WEAK + #define NVTX_LINKONCE_DEFINE_FUNCTION NVTX_LINKONCE_HIDDEN NVTX_LINKONCE_WEAK + #endif +#endif + +#define NVTX_LINKONCE_FWDDECL_GLOBAL NVTX_LINKONCE_DEFINE_GLOBAL extern +#define NVTX_LINKONCE_FWDDECL_FUNCTION NVTX_LINKONCE_DEFINE_FUNCTION + +#endif /* __NVTX_LINKONCE_H__ */ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxTypes.h b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxTypes.h new file mode 100644 index 0000000000000000000000000000000000000000..8ddb1a9b3baff99c78b1c9acc06ac0eb64de8d6d --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/include/nvtx3/nvtxDetail/nvtxTypes.h @@ -0,0 +1,333 @@ +/* +* Copyright 2009-2016 NVIDIA Corporation. All rights reserved. +* +* NOTICE TO USER: +* +* This source code is subject to NVIDIA ownership rights under U.S. and +* international Copyright laws. +* +* This software and the information contained herein is PROPRIETARY and +* CONFIDENTIAL to NVIDIA and is being provided under the terms and conditions +* of a form of NVIDIA software license agreement. +* +* NVIDIA MAKES NO REPRESENTATION ABOUT THE SUITABILITY OF THIS SOURCE +* CODE FOR ANY PURPOSE. IT IS PROVIDED "AS IS" WITHOUT EXPRESS OR +* IMPLIED WARRANTY OF ANY KIND. NVIDIA DISCLAIMS ALL WARRANTIES WITH +* REGARD TO THIS SOURCE CODE, INCLUDING ALL IMPLIED WARRANTIES OF +* MERCHANTABILITY, NONINFRINGEMENT, AND FITNESS FOR A PARTICULAR PURPOSE. +* IN NO EVENT SHALL NVIDIA BE LIABLE FOR ANY SPECIAL, INDIRECT, INCIDENTAL, +* OR CONSEQUENTIAL DAMAGES, OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS +* OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +* OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE +* OR PERFORMANCE OF THIS SOURCE CODE. +* +* U.S. Government End Users. This source code is a "commercial item" as +* that term is defined at 48 C.F.R. 2.101 (OCT 1995), consisting of +* "commercial computer software" and "commercial computer software +* documentation" as such terms are used in 48 C.F.R. 12.212 (SEPT 1995) +* and is provided to the U.S. Government only as a commercial end item. +* Consistent with 48 C.F.R.12.212 and 48 C.F.R. 227.7202-1 through +* 227.7202-4 (JUNE 1995), all U.S. Government End Users acquire the +* source code with only those rights set forth herein. +* +* Any use of this source code in individual and commercial software must +* include, in the user documentation and internal comments to the code, +* the above Disclaimer and U.S. Government End Users Notice. +*/ + +/* This header defines types which are used by the internal implementation +* of NVTX and callback subscribers. API clients do not use these types, +* so they are defined here instead of in nvToolsExt.h to clarify they are +* not part of the NVTX client API. */ + +#ifndef NVTX_IMPL_GUARD +#error Never include this file directly -- it is automatically included by nvToolsExt.h. +#endif + +/* ------ Dependency-free types binary-compatible with real types ------- */ + +/* In order to avoid having the NVTX core API headers depend on non-NVTX +* headers like cuda.h, NVTX defines binary-compatible types to use for +* safely making the initialization versions of all NVTX functions without +* needing to have definitions for the real types. */ + +typedef int nvtx_CUdevice; +typedef void* nvtx_CUcontext; +typedef void* nvtx_CUstream; +typedef void* nvtx_CUevent; + +typedef void* nvtx_cudaStream_t; +typedef void* nvtx_cudaEvent_t; + +typedef void* nvtx_cl_platform_id; +typedef void* nvtx_cl_device_id; +typedef void* nvtx_cl_context; +typedef void* nvtx_cl_command_queue; +typedef void* nvtx_cl_mem; +typedef void* nvtx_cl_program; +typedef void* nvtx_cl_kernel; +typedef void* nvtx_cl_event; +typedef void* nvtx_cl_sampler; + +typedef struct nvtxSyncUser* nvtxSyncUser_t; +struct nvtxSyncUserAttributes_v0; +typedef struct nvtxSyncUserAttributes_v0 nvtxSyncUserAttributes_t; + +/* --------- Types for function pointers (with fake API types) ---------- */ + +typedef void (NVTX_API * nvtxMarkEx_impl_fntype)(const nvtxEventAttributes_t* eventAttrib); +typedef void (NVTX_API * nvtxMarkA_impl_fntype)(const char* message); +typedef void (NVTX_API * nvtxMarkW_impl_fntype)(const wchar_t* message); +typedef nvtxRangeId_t (NVTX_API * nvtxRangeStartEx_impl_fntype)(const nvtxEventAttributes_t* eventAttrib); +typedef nvtxRangeId_t (NVTX_API * nvtxRangeStartA_impl_fntype)(const char* message); +typedef nvtxRangeId_t (NVTX_API * nvtxRangeStartW_impl_fntype)(const wchar_t* message); +typedef void (NVTX_API * nvtxRangeEnd_impl_fntype)(nvtxRangeId_t id); +typedef int (NVTX_API * nvtxRangePushEx_impl_fntype)(const nvtxEventAttributes_t* eventAttrib); +typedef int (NVTX_API * nvtxRangePushA_impl_fntype)(const char* message); +typedef int (NVTX_API * nvtxRangePushW_impl_fntype)(const wchar_t* message); +typedef int (NVTX_API * nvtxRangePop_impl_fntype)(void); +typedef void (NVTX_API * nvtxNameCategoryA_impl_fntype)(uint32_t category, const char* name); +typedef void (NVTX_API * nvtxNameCategoryW_impl_fntype)(uint32_t category, const wchar_t* name); +typedef void (NVTX_API * nvtxNameOsThreadA_impl_fntype)(uint32_t threadId, const char* name); +typedef void (NVTX_API * nvtxNameOsThreadW_impl_fntype)(uint32_t threadId, const wchar_t* name); + +/* Real impl types are defined in nvtxImplCuda_v3.h, where CUDA headers are included */ +typedef void (NVTX_API * nvtxNameCuDeviceA_fakeimpl_fntype)(nvtx_CUdevice device, const char* name); +typedef void (NVTX_API * nvtxNameCuDeviceW_fakeimpl_fntype)(nvtx_CUdevice device, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCuContextA_fakeimpl_fntype)(nvtx_CUcontext context, const char* name); +typedef void (NVTX_API * nvtxNameCuContextW_fakeimpl_fntype)(nvtx_CUcontext context, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCuStreamA_fakeimpl_fntype)(nvtx_CUstream stream, const char* name); +typedef void (NVTX_API * nvtxNameCuStreamW_fakeimpl_fntype)(nvtx_CUstream stream, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCuEventA_fakeimpl_fntype)(nvtx_CUevent event, const char* name); +typedef void (NVTX_API * nvtxNameCuEventW_fakeimpl_fntype)(nvtx_CUevent event, const wchar_t* name); + +/* Real impl types are defined in nvtxImplOpenCL_v3.h, where OPENCL headers are included */ +typedef void (NVTX_API * nvtxNameClDeviceA_fakeimpl_fntype)(nvtx_cl_device_id device, const char* name); +typedef void (NVTX_API * nvtxNameClDeviceW_fakeimpl_fntype)(nvtx_cl_device_id device, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClContextA_fakeimpl_fntype)(nvtx_cl_context context, const char* name); +typedef void (NVTX_API * nvtxNameClContextW_fakeimpl_fntype)(nvtx_cl_context context, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClCommandQueueA_fakeimpl_fntype)(nvtx_cl_command_queue command_queue, const char* name); +typedef void (NVTX_API * nvtxNameClCommandQueueW_fakeimpl_fntype)(nvtx_cl_command_queue command_queue, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClMemObjectA_fakeimpl_fntype)(nvtx_cl_mem memobj, const char* name); +typedef void (NVTX_API * nvtxNameClMemObjectW_fakeimpl_fntype)(nvtx_cl_mem memobj, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClSamplerA_fakeimpl_fntype)(nvtx_cl_sampler sampler, const char* name); +typedef void (NVTX_API * nvtxNameClSamplerW_fakeimpl_fntype)(nvtx_cl_sampler sampler, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClProgramA_fakeimpl_fntype)(nvtx_cl_program program, const char* name); +typedef void (NVTX_API * nvtxNameClProgramW_fakeimpl_fntype)(nvtx_cl_program program, const wchar_t* name); +typedef void (NVTX_API * nvtxNameClEventA_fakeimpl_fntype)(nvtx_cl_event evnt, const char* name); +typedef void (NVTX_API * nvtxNameClEventW_fakeimpl_fntype)(nvtx_cl_event evnt, const wchar_t* name); + +/* Real impl types are defined in nvtxImplCudaRt_v3.h, where CUDART headers are included */ +typedef void (NVTX_API * nvtxNameCudaDeviceA_impl_fntype)(int device, const char* name); +typedef void (NVTX_API * nvtxNameCudaDeviceW_impl_fntype)(int device, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCudaStreamA_fakeimpl_fntype)(nvtx_cudaStream_t stream, const char* name); +typedef void (NVTX_API * nvtxNameCudaStreamW_fakeimpl_fntype)(nvtx_cudaStream_t stream, const wchar_t* name); +typedef void (NVTX_API * nvtxNameCudaEventA_fakeimpl_fntype)(nvtx_cudaEvent_t event, const char* name); +typedef void (NVTX_API * nvtxNameCudaEventW_fakeimpl_fntype)(nvtx_cudaEvent_t event, const wchar_t* name); + +typedef void (NVTX_API * nvtxDomainMarkEx_impl_fntype)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +typedef nvtxRangeId_t (NVTX_API * nvtxDomainRangeStartEx_impl_fntype)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +typedef void (NVTX_API * nvtxDomainRangeEnd_impl_fntype)(nvtxDomainHandle_t domain, nvtxRangeId_t id); +typedef int (NVTX_API * nvtxDomainRangePushEx_impl_fntype)(nvtxDomainHandle_t domain, const nvtxEventAttributes_t* eventAttrib); +typedef int (NVTX_API * nvtxDomainRangePop_impl_fntype)(nvtxDomainHandle_t domain); +typedef nvtxResourceHandle_t (NVTX_API * nvtxDomainResourceCreate_impl_fntype)(nvtxDomainHandle_t domain, nvtxResourceAttributes_t* attribs); +typedef void (NVTX_API * nvtxDomainResourceDestroy_impl_fntype)(nvtxResourceHandle_t resource); +typedef void (NVTX_API * nvtxDomainNameCategoryA_impl_fntype)(nvtxDomainHandle_t domain, uint32_t category, const char* name); +typedef void (NVTX_API * nvtxDomainNameCategoryW_impl_fntype)(nvtxDomainHandle_t domain, uint32_t category, const wchar_t* name); +typedef nvtxStringHandle_t (NVTX_API * nvtxDomainRegisterStringA_impl_fntype)(nvtxDomainHandle_t domain, const char* string); +typedef nvtxStringHandle_t (NVTX_API * nvtxDomainRegisterStringW_impl_fntype)(nvtxDomainHandle_t domain, const wchar_t* string); +typedef nvtxDomainHandle_t (NVTX_API * nvtxDomainCreateA_impl_fntype)(const char* message); +typedef nvtxDomainHandle_t (NVTX_API * nvtxDomainCreateW_impl_fntype)(const wchar_t* message); +typedef void (NVTX_API * nvtxDomainDestroy_impl_fntype)(nvtxDomainHandle_t domain); +typedef void (NVTX_API * nvtxInitialize_impl_fntype)(const void* reserved); + +typedef nvtxSyncUser_t (NVTX_API * nvtxDomainSyncUserCreate_impl_fntype)(nvtxDomainHandle_t domain, const nvtxSyncUserAttributes_t* attribs); +typedef void (NVTX_API * nvtxDomainSyncUserDestroy_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserAcquireStart_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserAcquireFailed_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserAcquireSuccess_impl_fntype)(nvtxSyncUser_t handle); +typedef void (NVTX_API * nvtxDomainSyncUserReleasing_impl_fntype)(nvtxSyncUser_t handle); + +/* ---------------- Types for callback subscription --------------------- */ + +typedef const void *(NVTX_API * NvtxGetExportTableFunc_t)(uint32_t exportTableId); +typedef int (NVTX_API * NvtxInitializeInjectionNvtxFunc_t)(NvtxGetExportTableFunc_t exportTable); + +typedef enum NvtxCallbackModule +{ + NVTX_CB_MODULE_INVALID = 0, + NVTX_CB_MODULE_CORE = 1, + NVTX_CB_MODULE_CUDA = 2, + NVTX_CB_MODULE_OPENCL = 3, + NVTX_CB_MODULE_CUDART = 4, + NVTX_CB_MODULE_CORE2 = 5, + NVTX_CB_MODULE_SYNC = 6, + /* --- New constants must only be added directly above this line --- */ + NVTX_CB_MODULE_SIZE, + NVTX_CB_MODULE_FORCE_INT = 0x7fffffff +} NvtxCallbackModule; + +typedef enum NvtxCallbackIdCore +{ + NVTX_CBID_CORE_INVALID = 0, + NVTX_CBID_CORE_MarkEx = 1, + NVTX_CBID_CORE_MarkA = 2, + NVTX_CBID_CORE_MarkW = 3, + NVTX_CBID_CORE_RangeStartEx = 4, + NVTX_CBID_CORE_RangeStartA = 5, + NVTX_CBID_CORE_RangeStartW = 6, + NVTX_CBID_CORE_RangeEnd = 7, + NVTX_CBID_CORE_RangePushEx = 8, + NVTX_CBID_CORE_RangePushA = 9, + NVTX_CBID_CORE_RangePushW = 10, + NVTX_CBID_CORE_RangePop = 11, + NVTX_CBID_CORE_NameCategoryA = 12, + NVTX_CBID_CORE_NameCategoryW = 13, + NVTX_CBID_CORE_NameOsThreadA = 14, + NVTX_CBID_CORE_NameOsThreadW = 15, + /* --- New constants must only be added directly above this line --- */ + NVTX_CBID_CORE_SIZE, + NVTX_CBID_CORE_FORCE_INT = 0x7fffffff +} NvtxCallbackIdCore; + +typedef enum NvtxCallbackIdCore2 +{ + NVTX_CBID_CORE2_INVALID = 0, + NVTX_CBID_CORE2_DomainMarkEx = 1, + NVTX_CBID_CORE2_DomainRangeStartEx = 2, + NVTX_CBID_CORE2_DomainRangeEnd = 3, + NVTX_CBID_CORE2_DomainRangePushEx = 4, + NVTX_CBID_CORE2_DomainRangePop = 5, + NVTX_CBID_CORE2_DomainResourceCreate = 6, + NVTX_CBID_CORE2_DomainResourceDestroy = 7, + NVTX_CBID_CORE2_DomainNameCategoryA = 8, + NVTX_CBID_CORE2_DomainNameCategoryW = 9, + NVTX_CBID_CORE2_DomainRegisterStringA = 10, + NVTX_CBID_CORE2_DomainRegisterStringW = 11, + NVTX_CBID_CORE2_DomainCreateA = 12, + NVTX_CBID_CORE2_DomainCreateW = 13, + NVTX_CBID_CORE2_DomainDestroy = 14, + NVTX_CBID_CORE2_Initialize = 15, + /* --- New constants must only be added directly above this line --- */ + NVTX_CBID_CORE2_SIZE, + NVTX_CBID_CORE2_FORCE_INT = 0x7fffffff +} NvtxCallbackIdCore2; + +typedef enum NvtxCallbackIdCuda +{ + NVTX_CBID_CUDA_INVALID = 0, + NVTX_CBID_CUDA_NameCuDeviceA = 1, + NVTX_CBID_CUDA_NameCuDeviceW = 2, + NVTX_CBID_CUDA_NameCuContextA = 3, + NVTX_CBID_CUDA_NameCuContextW = 4, + NVTX_CBID_CUDA_NameCuStreamA = 5, + NVTX_CBID_CUDA_NameCuStreamW = 6, + NVTX_CBID_CUDA_NameCuEventA = 7, + NVTX_CBID_CUDA_NameCuEventW = 8, + /* --- New constants must only be added directly above this line --- */ + NVTX_CBID_CUDA_SIZE, + NVTX_CBID_CUDA_FORCE_INT = 0x7fffffff +} NvtxCallbackIdCuda; + +typedef enum NvtxCallbackIdCudaRt +{ + NVTX_CBID_CUDART_INVALID = 0, + NVTX_CBID_CUDART_NameCudaDeviceA = 1, + NVTX_CBID_CUDART_NameCudaDeviceW = 2, + NVTX_CBID_CUDART_NameCudaStreamA = 3, + NVTX_CBID_CUDART_NameCudaStreamW = 4, + NVTX_CBID_CUDART_NameCudaEventA = 5, + NVTX_CBID_CUDART_NameCudaEventW = 6, + /* --- New constants must only be added directly above this line --- */ + NVTX_CBID_CUDART_SIZE, + NVTX_CBID_CUDART_FORCE_INT = 0x7fffffff +} NvtxCallbackIdCudaRt; + +typedef enum NvtxCallbackIdOpenCL +{ + NVTX_CBID_OPENCL_INVALID = 0, + NVTX_CBID_OPENCL_NameClDeviceA = 1, + NVTX_CBID_OPENCL_NameClDeviceW = 2, + NVTX_CBID_OPENCL_NameClContextA = 3, + NVTX_CBID_OPENCL_NameClContextW = 4, + NVTX_CBID_OPENCL_NameClCommandQueueA = 5, + NVTX_CBID_OPENCL_NameClCommandQueueW = 6, + NVTX_CBID_OPENCL_NameClMemObjectA = 7, + NVTX_CBID_OPENCL_NameClMemObjectW = 8, + NVTX_CBID_OPENCL_NameClSamplerA = 9, + NVTX_CBID_OPENCL_NameClSamplerW = 10, + NVTX_CBID_OPENCL_NameClProgramA = 11, + NVTX_CBID_OPENCL_NameClProgramW = 12, + NVTX_CBID_OPENCL_NameClEventA = 13, + NVTX_CBID_OPENCL_NameClEventW = 14, + /* --- New constants must only be added directly above this line --- */ + NVTX_CBID_OPENCL_SIZE, + NVTX_CBID_OPENCL_FORCE_INT = 0x7fffffff +} NvtxCallbackIdOpenCL; + +typedef enum NvtxCallbackIdSync +{ + NVTX_CBID_SYNC_INVALID = 0, + NVTX_CBID_SYNC_DomainSyncUserCreate = 1, + NVTX_CBID_SYNC_DomainSyncUserDestroy = 2, + NVTX_CBID_SYNC_DomainSyncUserAcquireStart = 3, + NVTX_CBID_SYNC_DomainSyncUserAcquireFailed = 4, + NVTX_CBID_SYNC_DomainSyncUserAcquireSuccess = 5, + NVTX_CBID_SYNC_DomainSyncUserReleasing = 6, + /* --- New constants must only be added directly above this line --- */ + NVTX_CBID_SYNC_SIZE, + NVTX_CBID_SYNC_FORCE_INT = 0x7fffffff +} NvtxCallbackIdSync; + +/* IDs for NVTX Export Tables */ +typedef enum NvtxExportTableID +{ + NVTX_ETID_INVALID = 0, + NVTX_ETID_CALLBACKS = 1, + NVTX_ETID_RESERVED0 = 2, + NVTX_ETID_VERSIONINFO = 3, + /* --- New constants must only be added directly above this line --- */ + NVTX_ETID_SIZE, + NVTX_ETID_FORCE_INT = 0x7fffffff +} NvtxExportTableID; + +typedef void (* NvtxFunctionPointer)(void); /* generic uncallable function pointer, must be casted to appropriate function type */ +typedef NvtxFunctionPointer** NvtxFunctionTable; /* double pointer because array(1) of pointers(2) to function pointers */ + +typedef struct NvtxExportTableCallbacks +{ + size_t struct_size; + + /* returns an array of pointer to function pointers*/ + int (NVTX_API *GetModuleFunctionTable)( + NvtxCallbackModule module, + NvtxFunctionTable* out_table, + unsigned int* out_size); +} NvtxExportTableCallbacks; + +typedef struct NvtxExportTableVersionInfo +{ + /* sizeof(NvtxExportTableVersionInfo) */ + size_t struct_size; + + /* The API version comes from the NVTX library linked to the app. The + * injection library is can use this info to make some assumptions */ + uint32_t version; + + /* Reserved for alignment, do not use */ + uint32_t reserved0; + + /* This must be set by tools when attaching to provide applications + * the ability to, in emergency situations, detect problematic tools + * versions and modify the NVTX source to prevent attaching anything + * that causes trouble in the app. Currently, this value is ignored. */ + void (NVTX_API *SetInjectionNvtxVersion)( + uint32_t version); +} NvtxExportTableVersionInfo; + + + + + + + diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/__init__.py b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/__pycache__/__init__.cpython-310.pyc b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/__pycache__/__init__.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c215a2cbedd3449e134475abc8f6e6bfc76436ff Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/__pycache__/__init__.cpython-310.pyc differ diff --git a/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/libnvToolsExt.so.1 b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/libnvToolsExt.so.1 new file mode 100644 index 0000000000000000000000000000000000000000..4338353fb6b12c216bd3c4f3919230931aab4aeb Binary files /dev/null and b/llmeval-env/lib/python3.10/site-packages/nvidia/nvtx/lib/libnvToolsExt.so.1 differ diff --git a/llmeval-env/lib/python3.10/site-packages/scipy.libs/libgfortran-040039e1.so.5.0.0 b/llmeval-env/lib/python3.10/site-packages/scipy.libs/libgfortran-040039e1.so.5.0.0 new file mode 100644 index 0000000000000000000000000000000000000000..47f28619b3aab72df5480d0140d9f43ea3859d30 --- /dev/null +++ b/llmeval-env/lib/python3.10/site-packages/scipy.libs/libgfortran-040039e1.so.5.0.0 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:14afb3129b1a8b50bc40a3b0820c7f1152ea9bc10121aab152943f7057472886 +size 2686065