File size: 3,302 Bytes
359a939 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
// Copyright (c) Microsoft Corporation.
// SPDX-License-Identifier: Apache-2.0
// DeepSpeed Team
#include "dequantization_utils.h"
#include "memory_access_utils.h"
namespace cg = cooperative_groups;
template <typename T, int numBits, dequantize::Type qType, int unroll, int threads>
__global__ void dequantize_kernel(T* __restrict__ dequant_data,
const int8_t* __restrict__ q_data,
const float* __restrict__ q_params,
int elems_per_group,
int total_elems)
{
dequantize::to_global<T, numBits, qType, unroll, threads>(
dequant_data, q_data, q_params, elems_per_group, total_elems);
}
#define LAUNCH_DEQUANT_KERNEL(num_bits, q_type) \
dequantize_kernel<T, num_bits, q_type, unroll, threads><<<grid, block, 0, stream>>>( \
dequant_data, q_data, q_params, elems_per_group, total_elems);
template <typename T>
void launch_dequantize_kernel(T* dequant_data,
const int8_t* q_data,
const float* q_params,
quantize::Type q_type,
int num_bits,
int elems_per_group,
int total_elems,
cudaStream_t stream)
{
constexpr int unroll = 8;
constexpr int threads = 512;
constexpr int elems_per_block = unroll * threads * dequantize::granularity / (sizeof(T));
const dim3 block(threads);
const dim3 grid((total_elems + elems_per_block - 1) / elems_per_block);
// TODO(cmikeh2): It may make sense to tune unroll, there is perf benefit for large
// problem sizes with this large unroll value.
if (num_bits == 8 && q_type == quantize::Type::Symmetric) {
LAUNCH_DEQUANT_KERNEL(8, quantize::Type::Symmetric);
} else if (num_bits == 8 && q_type == quantize::Type::Asymmetric) {
LAUNCH_DEQUANT_KERNEL(8, quantize::Type::Asymmetric);
} else if (num_bits == 4 && q_type == quantize::Type::Symmetric) {
LAUNCH_DEQUANT_KERNEL(4, quantize::Type::Symmetric);
} else if (num_bits == 4 && q_type == quantize::Type::Asymmetric) {
LAUNCH_DEQUANT_KERNEL(4, quantize::Type::Asymmetric);
}
}
template void launch_dequantize_kernel(__half* dequant_data,
const int8_t* q_data,
const float* q_params,
quantize::Type q_type,
int num_bits,
int elems_per_group,
int total_elems,
cudaStream_t stream);
template void launch_dequantize_kernel(float* dequant_data,
const int8_t* q_data,
const float* q_params,
quantize::Type q_type,
int num_bits,
int elems_per_group,
int total_elems,
cudaStream_t stream);
|