diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Half_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Half_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..132bd5e78096e4554637fac3d224db9cc8543ce2
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_cast_Half_ops.h
@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _cast_Half {
+  using schema = at::Tensor (const at::Tensor &, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_cast_Half")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_cast_Half(Tensor self, bool non_blocking=False) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, bool non_blocking);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..aea44eb401030c72612c72c5685d06ff4448d26c
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_convert_indices_from_csr_to_coo_compositeexplicitautogradnonfunctional_dispatch.h
@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautogradnonfunctional {
+
+TORCH_API at::Tensor _convert_indices_from_csr_to_coo(const at::Tensor & crow_indices, const at::Tensor & col_indices, bool out_int32=false, bool transpose=false);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_cummax_helper_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_cummax_helper_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..9de2a39d871b2ef2bbab9bb070c7888d5e3cfdc1
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_cummax_helper_native.h
@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API void cummax_helper_cpu(const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim);
+TORCH_API void cummax_helper_cuda(const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..293418670ce1b9ac2ded03c65c016faff5a428bb
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_dirichlet_grad_cuda_dispatch.h
@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor _dirichlet_grad(const at::Tensor & x, const at::Tensor & alpha, const at::Tensor & total);
+
+} // namespace cuda
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_exp.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_exp.h
new file mode 100644
index 0000000000000000000000000000000000000000..47fdd0bf5fab224497093e5923ab9f7cc696b707
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_exp.h
@@ -0,0 +1,44 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_foreach_exp_ops.h>
+
+namespace at {
+
+
+// aten::_foreach_exp(Tensor[] self) -> Tensor[]
+inline ::std::vector<at::Tensor> _foreach_exp(at::TensorList self) {
+    return at::_ops::_foreach_exp::call(self);
+}
+
+// aten::_foreach_exp_(Tensor(a!)[] self) -> ()
+inline void _foreach_exp_(at::TensorList self) {
+    return at::_ops::_foreach_exp_::call(self);
+}
+
+// aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_exp_out(at::TensorList out, at::TensorList self) {
+    return at::_ops::_foreach_exp_out::call(self, out);
+}
+// aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> ()
+inline void _foreach_exp_outf(at::TensorList self, at::TensorList out) {
+    return at::_ops::_foreach_exp_out::call(self, out);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..384dae22eb53078ed373c233ab43020bbe0c45ba
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_floor_cuda_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API ::std::vector<at::Tensor> _foreach_floor(at::TensorList self);
+TORCH_API void _foreach_floor_(at::TensorList self);
+
+} // namespace cuda
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log_cuda_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..721482794ec6a38430cf440d75b8f52597b4113b
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_log_cuda_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API ::std::vector<at::Tensor> _foreach_log(at::TensorList self);
+TORCH_API void _foreach_log_(at::TensorList self);
+
+} // namespace cuda
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_trunc_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_trunc_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..3e9101034e7df360eaea3c4800cc9da419aab8db
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_foreach_trunc_ops.h
@@ -0,0 +1,50 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _foreach_trunc {
+  using schema = ::std::vector<at::Tensor> (at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_trunc")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_trunc(Tensor[] self) -> Tensor[]")
+  static ::std::vector<at::Tensor> call(at::TensorList self);
+  static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self);
+};
+
+struct TORCH_API _foreach_trunc_ {
+  using schema = void (at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_trunc_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_trunc_(Tensor(a!)[] self) -> ()")
+  static void call(at::TensorList self);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self);
+};
+
+struct TORCH_API _foreach_trunc_out {
+  using schema = void (at::TensorList, at::TensorList);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_trunc")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> ()")
+  static void call(at::TensorList self, at::TensorList out);
+  static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_functional_sym_constrain_range_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_functional_sym_constrain_range_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..b83a897bbb9d257b6dba451911dac4a2c3097a87
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_functional_sym_constrain_range_ops.h
@@ -0,0 +1,28 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _functional_sym_constrain_range {
+  using schema = at::Tensor (const at::Scalar &, c10::optional<int64_t>, c10::optional<int64_t>, const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_functional_sym_constrain_range")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_functional_sym_constrain_range(Scalar size, int? min, int? max, Tensor dep_token) -> Tensor")
+  static at::Tensor call(const at::Scalar & size, c10::optional<int64_t> min, c10::optional<int64_t> max, const at::Tensor & dep_token);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Scalar & size, c10::optional<int64_t> min, c10::optional<int64_t> max, const at::Tensor & dep_token);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_pack_padded_sequence.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_pack_padded_sequence.h
new file mode 100644
index 0000000000000000000000000000000000000000..d3e39baaf7985d524e2e50087c3e5260498ed136
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_pack_padded_sequence.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_pack_padded_sequence_ops.h>
+
+namespace at {
+
+
+// aten::_pack_padded_sequence(Tensor input, Tensor lengths, bool batch_first) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> _pack_padded_sequence(const at::Tensor & input, const at::Tensor & lengths, bool batch_first) {
+    return at::_ops::_pack_padded_sequence::call(input, lengths, batch_first);
+}
+
+// aten::_pack_padded_sequence.out(Tensor input, Tensor lengths, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+inline ::std::tuple<at::Tensor &,at::Tensor &> _pack_padded_sequence_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const at::Tensor & lengths, bool batch_first) {
+    return at::_ops::_pack_padded_sequence_out::call(input, lengths, batch_first, out0, out1);
+}
+// aten::_pack_padded_sequence.out(Tensor input, Tensor lengths, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))
+inline ::std::tuple<at::Tensor &,at::Tensor &> _pack_padded_sequence_outf(const at::Tensor & input, const at::Tensor & lengths, bool batch_first, at::Tensor & out0, at::Tensor & out1) {
+    return at::_ops::_pack_padded_sequence_out::call(input, lengths, batch_first, out0, out1);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h
new file mode 100644
index 0000000000000000000000000000000000000000..471e746a396be957541eedd2ce0984115a32750a
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_bsc_tensor_unsafe.h
@@ -0,0 +1,34 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_sparse_bsc_tensor_unsafe_ops.h>
+
+namespace at {
+
+
+// aten::_sparse_bsc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+inline at::Tensor _sparse_bsc_tensor_unsafe(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) {
+    return at::_ops::_sparse_bsc_tensor_unsafe::call(ccol_indices, row_indices, values, size, c10::optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt());
+}
+// aten::_sparse_bsc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor
+inline at::Tensor _sparse_bsc_tensor_unsafe(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
+    return at::_ops::_sparse_bsc_tensor_unsafe::call(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..09dd5de7d66efad5d40c446911a7fb7fc3d04395
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_sparse_coo_tensor_with_dims_and_tensors_ops.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API _sparse_coo_tensor_with_dims_and_tensors {
+  using schema = at::Tensor (int64_t, int64_t, c10::SymIntArrayRef, const at::Tensor &, const at::Tensor &, c10::optional<at::ScalarType>, c10::optional<at::Layout>, c10::optional<at::Device>, c10::optional<bool>, c10::optional<bool>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_sparse_coo_tensor_with_dims_and_tensors")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False, bool? is_coalesced=None) -> Tensor")
+  static at::Tensor call(int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<bool> is_coalesced);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<bool> is_coalesced);
+};
+
+struct TORCH_API _sparse_coo_tensor_with_dims_and_tensors_out {
+  using schema = at::Tensor & (int64_t, int64_t, c10::SymIntArrayRef, const at::Tensor &, const at::Tensor &, c10::optional<bool>, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_sparse_coo_tensor_with_dims_and_tensors")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, bool? is_coalesced=None, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values, c10::optional<bool> is_coalesced, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values, c10::optional<bool> is_coalesced, at::Tensor & out);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_stack_cpu_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_stack_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..98e3e4f963772389c2d0837c953540994d6c0f03
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_stack_cpu_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor _stack(at::TensorList tensors, int64_t dim=0);
+TORCH_API at::Tensor & _stack_out(at::Tensor & out, at::TensorList tensors, int64_t dim=0);
+TORCH_API at::Tensor & _stack_outf(at::TensorList tensors, int64_t dim, at::Tensor & out);
+
+} // namespace cpu
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..69f4bedbef8a432650ef403200b55e1b740c15c8
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_thnn_fused_gru_cell_compositeexplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> _thnn_fused_gru_cell_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias={}, const c10::optional<at::Tensor> & hidden_bias={});
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> _thnn_fused_gru_cell_outf(const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias, const c10::optional<at::Tensor> & hidden_bias, at::Tensor & out0, at::Tensor & out1);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..a0d94a4a755cc797383819c2444a88e0d5dabbc5
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor _upsample_nearest_exact1d(const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors);
+TORCH_API at::Tensor _upsample_nearest_exact1d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h
new file mode 100644
index 0000000000000000000000000000000000000000..945db8ed58f01effd4a942a7e90c1244ee9f5524
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/_validate_sparse_coo_tensor_args.h
@@ -0,0 +1,30 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/_validate_sparse_coo_tensor_args_ops.h>
+
+namespace at {
+
+
+// aten::_validate_sparse_coo_tensor_args(Tensor indices, Tensor values, int[] size, bool? is_coalesced=None) -> ()
+inline void _validate_sparse_coo_tensor_args(const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<bool> is_coalesced=c10::nullopt) {
+    return at::_ops::_validate_sparse_coo_tensor_args::call(indices, values, size, is_coalesced);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..0bdc3b57dbdc573db11947d8c9292e26fd3e3dd7
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/adaptive_avg_pool3d_backward_cpu_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor & adaptive_avg_pool3d_backward_out(at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self);
+TORCH_API at::Tensor & adaptive_avg_pool3d_backward_outf(const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input);
+
+} // namespace cpu
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/addcmul_cpu_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/addcmul_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..42cf40440ed6389404c32ba0acf214e0a2fbe538
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/addcmul_cpu_dispatch.h
@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor addcmul(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1);
+TORCH_API at::Tensor & addcmul_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1);
+TORCH_API at::Tensor & addcmul_outf(const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out);
+TORCH_API at::Tensor & addcmul_(at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1);
+
+} // namespace cpu
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/addr_cuda_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/addr_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..31565d612e680e0554b279d68882a0800a7cf387
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/addr_cuda_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor addr(const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1);
+TORCH_API at::Tensor & addr_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1);
+TORCH_API at::Tensor & addr_outf(const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out);
+
+} // namespace cuda
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..d26cf494650a95cacbb998b3361a49e1197b17d1
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/arccos_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor arccos(const at::Tensor & self);
+TORCH_API at::Tensor & arccos_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & arccos_outf(const at::Tensor & self, at::Tensor & out);
+TORCH_API at::Tensor & arccos_(at::Tensor & self);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/atanh_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/atanh_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..14cea7a3b977f7858abc831f6bc96341290e322e
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/atanh_ops.h
@@ -0,0 +1,50 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API atanh {
+  using schema = at::Tensor (const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::atanh")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "atanh(Tensor self) -> Tensor")
+  static at::Tensor call(const at::Tensor & self);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self);
+};
+
+struct TORCH_API atanh_ {
+  using schema = at::Tensor & (at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::atanh_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "atanh_(Tensor(a!) self) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self);
+};
+
+struct TORCH_API atanh_out {
+  using schema = at::Tensor & (const at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::atanh")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "atanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/bmm_cuda_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/bmm_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..24f873e339c639ea39f9091d4431e8871ec1ca47
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/bmm_cuda_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor bmm(const at::Tensor & self, const at::Tensor & mat2);
+TORCH_API at::Tensor & bmm_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & mat2);
+TORCH_API at::Tensor & bmm_outf(const at::Tensor & self, const at::Tensor & mat2, at::Tensor & out);
+
+} // namespace cuda
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cauchy_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cauchy_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..151d77da185702ee87233c6eb248139660216086
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cauchy_ops.h
@@ -0,0 +1,50 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API cauchy_ {
+  using schema = at::Tensor & (at::Tensor &, double, double, c10::optional<at::Generator>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cauchy_")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cauchy_(Tensor(a!) self, float median=0, float sigma=1, *, Generator? generator=None) -> Tensor(a!)")
+  static at::Tensor & call(at::Tensor & self, double median, double sigma, c10::optional<at::Generator> generator);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double median, double sigma, c10::optional<at::Generator> generator);
+};
+
+struct TORCH_API cauchy_out {
+  using schema = at::Tensor & (const at::Tensor &, double, double, c10::optional<at::Generator>, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cauchy")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cauchy.out(Tensor self, float median=0, float sigma=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & self, double median, double sigma, c10::optional<at::Generator> generator, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double median, double sigma, c10::optional<at::Generator> generator, at::Tensor & out);
+};
+
+struct TORCH_API cauchy {
+  using schema = at::Tensor (const at::Tensor &, double, double, c10::optional<at::Generator>);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::cauchy")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "cauchy(Tensor self, float median=0, float sigma=1, *, Generator? generator=None) -> Tensor")
+  static at::Tensor call(const at::Tensor & self, double median, double sigma, c10::optional<at::Generator> generator);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double median, double sigma, c10::optional<at::Generator> generator);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..6f57c07e72733fcbdaacb98be9ffdf164b9f9276
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/combinations_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor combinations(const at::Tensor & self, int64_t r=2, bool with_replacement=false);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/conv2d.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/conv2d.h
new file mode 100644
index 0000000000000000000000000000000000000000..c5cc39919d544f44c73ed313a5b5e057a4246653
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/conv2d.h
@@ -0,0 +1,69 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/conv2d_ops.h>
+
+namespace at {
+
+
+// aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1, SymInt groups=1) -> Tensor
+inline at::Tensor conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) {
+    return at::_ops::conv2d::call(input, weight, bias, c10::fromIntArrayRefSlow(stride), c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(dilation), groups);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) {
+    return at::_ops::conv2d::call(input, weight, bias, c10::fromIntArrayRefSlow(stride), c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(dilation), groups);
+  }
+}
+
+// aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, SymInt[2] padding=0, SymInt[2] dilation=1, SymInt groups=1) -> Tensor
+inline at::Tensor conv2d_symint(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, c10::SymIntArrayRef stride=c10::SymInt(1), c10::SymIntArrayRef padding=c10::SymInt(0), c10::SymIntArrayRef dilation=c10::SymInt(1), c10::SymInt groups=1) {
+    return at::_ops::conv2d::call(input, weight, bias, stride, padding, dilation, groups);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, c10::SymIntArrayRef stride=c10::SymInt(1), c10::SymIntArrayRef padding=c10::SymInt(0), c10::SymIntArrayRef dilation=c10::SymInt(1), c10::SymInt groups=1) {
+    return at::_ops::conv2d::call(input, weight, bias, stride, padding, dilation, groups);
+  }
+}
+
+// aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, str padding="valid", SymInt[2] dilation=1, SymInt groups=1) -> Tensor
+inline at::Tensor conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) {
+    return at::_ops::conv2d_padding::call(input, weight, bias, c10::fromIntArrayRefSlow(stride), padding, c10::fromIntArrayRefSlow(dilation), groups);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) {
+    return at::_ops::conv2d_padding::call(input, weight, bias, c10::fromIntArrayRefSlow(stride), padding, c10::fromIntArrayRefSlow(dilation), groups);
+  }
+}
+
+// aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, SymInt[2] stride=1, str padding="valid", SymInt[2] dilation=1, SymInt groups=1) -> Tensor
+inline at::Tensor conv2d_symint(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::string_view padding, c10::SymIntArrayRef dilation=c10::SymInt(1), c10::SymInt groups=1) {
+    return at::_ops::conv2d_padding::call(input, weight, bias, stride, padding, dilation, groups);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef stride, c10::string_view padding, c10::SymIntArrayRef dilation=c10::SymInt(1), c10::SymInt groups=1) {
+    return at::_ops::conv2d_padding::call(input, weight, bias, stride, padding, dilation, groups);
+  }
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cross_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cross_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..690888f30bfd407f02b9616b8621227a797d615a
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cross_native.h
@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor cross(const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim=c10::nullopt);
+TORCH_API at::Tensor & cross_out(const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim, at::Tensor & out);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cummaxmin_backward.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cummaxmin_backward.h
new file mode 100644
index 0000000000000000000000000000000000000000..3150bf035b19ac5042c0fb1eba6642fdb191fea9
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/cummaxmin_backward.h
@@ -0,0 +1,30 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/cummaxmin_backward_ops.h>
+
+namespace at {
+
+
+// aten::cummaxmin_backward(Tensor grad, Tensor input, Tensor indices, int dim) -> Tensor
+inline at::Tensor cummaxmin_backward(const at::Tensor & grad, const at::Tensor & input, const at::Tensor & indices, int64_t dim) {
+    return at::_ops::cummaxmin_backward::call(grad, input, indices, dim);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/dot_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/dot_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..579cc9997afd704551b8c991c43f9116ffa04470
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/dot_native.h
@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & dot_out(const at::Tensor & self, const at::Tensor & tensor, at::Tensor & out);
+TORCH_API at::Tensor dot(const at::Tensor & self, const at::Tensor & tensor);
+TORCH_API at::Tensor dot_cuda(const at::Tensor & self, const at::Tensor & tensor);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/erfc_meta.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/erfc_meta.h
new file mode 100644
index 0000000000000000000000000000000000000000..b028371fb9fbc97389199ee2442abf3fe92e22f3
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/erfc_meta.h
@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured_erfc : public TensorIteratorBase {
+    
+    
+    void meta(const at::Tensor & self);
+};
+
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..caee23e50b40484c91aab65ea8ccce0db45bd305
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/expand_compositeexplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor expand(const at::Tensor & self, at::IntArrayRef size, bool implicit=false);
+TORCH_API at::Tensor expand_symint(const at::Tensor & self, c10::SymIntArrayRef size, bool implicit=false);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/expand_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/expand_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..48202a3295a2eb9d09b5d1b6b68106b4c92e3b5e
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/expand_native.h
@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor expand(const at::Tensor & self, at::IntArrayRef size, bool implicit=false);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/fft_hfft2.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/fft_hfft2.h
new file mode 100644
index 0000000000000000000000000000000000000000..5a59c34e67616a95aa24820def91bca5832601ea
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/fft_hfft2.h
@@ -0,0 +1,91 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/fft_hfft2_ops.h>
+
+namespace at {
+
+
+// aten::fft_hfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+inline at::Tensor fft_hfft2(const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2::call(self, s.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*s)) : c10::nullopt, dim, norm);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor fft_hfft2(const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2::call(self, s.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*s)) : c10::nullopt, dim, norm);
+  }
+}
+
+// aten::fft_hfft2(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor
+inline at::Tensor fft_hfft2_symint(const at::Tensor & self, at::OptionalSymIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2::call(self, s, dim, norm);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor fft_hfft2(const at::Tensor & self, at::OptionalSymIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2::call(self, s, dim, norm);
+  }
+}
+
+// aten::fft_hfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+inline const at::Tensor & fft_hfft2_out(const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2_out::call(self, s.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*s)) : c10::nullopt, dim, norm, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  const at::Tensor & fft_hfft2_out(const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2_out::call(self, s.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*s)) : c10::nullopt, dim, norm, out);
+  }
+}
+
+// aten::fft_hfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+inline const at::Tensor & fft_hfft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) {
+    return at::_ops::fft_hfft2_out::call(self, s.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*s)) : c10::nullopt, dim, norm, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  const at::Tensor & fft_hfft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) {
+    return at::_ops::fft_hfft2_out::call(self, s.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*s)) : c10::nullopt, dim, norm, out);
+  }
+}
+
+// aten::fft_hfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+inline const at::Tensor & fft_hfft2_symint_out(const at::Tensor & out, const at::Tensor & self, at::OptionalSymIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2_out::call(self, s, dim, norm, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  const at::Tensor & fft_hfft2_out(const at::Tensor & out, const at::Tensor & self, at::OptionalSymIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) {
+    return at::_ops::fft_hfft2_out::call(self, s, dim, norm, out);
+  }
+}
+
+// aten::fft_hfft2.out(Tensor self, SymInt[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!)
+inline const at::Tensor & fft_hfft2_symint_outf(const at::Tensor & self, at::OptionalSymIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) {
+    return at::_ops::fft_hfft2_out::call(self, s, dim, norm, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  const at::Tensor & fft_hfft2_outf(const at::Tensor & self, at::OptionalSymIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) {
+    return at::_ops::fft_hfft2_out::call(self, s, dim, norm, out);
+  }
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/fractional_max_pool2d_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/fractional_max_pool2d_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..16957f3219887a1ff1efd63af3637313fa7f4fd2
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/fractional_max_pool2d_native.h
@@ -0,0 +1,26 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+#include <ATen/ops/fractional_max_pool2d_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_fractional_max_pool2d_out_cpu : public at::meta::structured_fractional_max_pool2d {
+void impl(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples, const at::Tensor & output, const at::Tensor & indices);
+};
+struct TORCH_API structured_fractional_max_pool2d_out_cuda : public at::meta::structured_fractional_max_pool2d {
+void impl(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples, const at::Tensor & output, const at::Tensor & indices);
+};
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/glu_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/glu_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..60d81b4e517c0e149eda4acb515bdf2cecb353a9
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/glu_native.h
@@ -0,0 +1,23 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+#include <ATen/ops/glu_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_glu_out : public at::meta::structured_glu {
+void impl(const at::Tensor & self, int64_t dim, const at::Tensor & out);
+};
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..495dfe1972f3574b2ac568e16322b7be86ea482b
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,30 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor greater_equal(const at::Tensor & self, const at::Scalar & other);
+TORCH_API at::Tensor & greater_equal_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other);
+TORCH_API at::Tensor & greater_equal_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out);
+TORCH_API at::Tensor & greater_equal_(at::Tensor & self, const at::Scalar & other);
+TORCH_API at::Tensor greater_equal(const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & greater_equal_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other);
+TORCH_API at::Tensor & greater_equal_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out);
+TORCH_API at::Tensor & greater_equal_(at::Tensor & self, const at::Tensor & other);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/gru.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/gru.h
new file mode 100644
index 0000000000000000000000000000000000000000..3c53bfd7bf09dccf3d6fa7959bd28fed9580aadb
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/gru.h
@@ -0,0 +1,35 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/gru_ops.h>
+
+namespace at {
+
+
+// aten::gru.input(Tensor input, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> gru(const at::Tensor & input, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) {
+    return at::_ops::gru_input::call(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first);
+}
+
+// aten::gru.data(Tensor data, Tensor batch_sizes, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor)
+inline ::std::tuple<at::Tensor,at::Tensor> gru(const at::Tensor & data, const at::Tensor & batch_sizes, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) {
+    return at::_ops::gru_data::call(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..0ac5cfccd87dc62a9dd9584839b937bd4aab978d
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hardshrink_compositeexplicitautogradnonfunctional_dispatch.h
@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautogradnonfunctional {
+
+TORCH_API at::Tensor hardshrink(const at::Tensor & self, const at::Scalar & lambd=0.5);
+
+} // namespace compositeexplicitautogradnonfunctional
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hardswish_cpu_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hardswish_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..d4793bce95907be7bab651ba176c568b5ed02e1e
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hardswish_cpu_dispatch.h
@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor hardswish(const at::Tensor & self);
+TORCH_API at::Tensor & hardswish_out(at::Tensor & out, const at::Tensor & self);
+TORCH_API at::Tensor & hardswish_outf(const at::Tensor & self, at::Tensor & out);
+TORCH_API at::Tensor & hardswish_(at::Tensor & self);
+
+} // namespace cpu
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hsplit.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hsplit.h
new file mode 100644
index 0000000000000000000000000000000000000000..bc9a990a41b1ba715333ec3221aa097c1f8e77c8
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hsplit.h
@@ -0,0 +1,35 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/hsplit_ops.h>
+
+namespace at {
+
+
+// aten::hsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[]
+inline ::std::vector<at::Tensor> hsplit(const at::Tensor & self, int64_t sections) {
+    return at::_ops::hsplit_int::call(self, sections);
+}
+
+// aten::hsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[]
+inline ::std::vector<at::Tensor> hsplit(const at::Tensor & self, at::IntArrayRef indices) {
+    return at::_ops::hsplit_array::call(self, indices);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..6e7d4bccbbbb214b5a16b7d9bcddd7ac8aa7ff65
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hstack_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor hstack(at::TensorList tensors);
+TORCH_API at::Tensor & hstack_out(at::Tensor & out, at::TensorList tensors);
+TORCH_API at::Tensor & hstack_outf(at::TensorList tensors, at::Tensor & out);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hypot.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hypot.h
new file mode 100644
index 0000000000000000000000000000000000000000..589c8fea89cc8bf0a5eea98958f07fc311bd875e
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/hypot.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/hypot_ops.h>
+
+namespace at {
+
+
+// aten::hypot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & hypot_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) {
+    return at::_ops::hypot_out::call(self, other, out);
+}
+// aten::hypot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & hypot_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) {
+    return at::_ops::hypot_out::call(self, other, out);
+}
+
+// aten::hypot(Tensor self, Tensor other) -> Tensor
+inline at::Tensor hypot(const at::Tensor & self, const at::Tensor & other) {
+    return at::_ops::hypot::call(self, other);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..fed78e5b4eb6316eaecd5f05cd15ad0e70476c2f
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API bool is_leaf(const at::Tensor & self);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..a85c98e3663dca80dbb0a09dda38f1210359b424
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_ldl_solve_cpu_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor linalg_ldl_solve(const at::Tensor & LD, const at::Tensor & pivots, const at::Tensor & B, bool hermitian=false);
+TORCH_API at::Tensor & linalg_ldl_solve_out(at::Tensor & out, const at::Tensor & LD, const at::Tensor & pivots, const at::Tensor & B, bool hermitian=false);
+TORCH_API at::Tensor & linalg_ldl_solve_outf(const at::Tensor & LD, const at::Tensor & pivots, const at::Tensor & B, bool hermitian, at::Tensor & out);
+
+} // namespace cpu
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_qr_cuda_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_qr_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..cf3c70bbfafbdef0b0079d0abb42bc552af119f2
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_qr_cuda_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API ::std::tuple<at::Tensor,at::Tensor> linalg_qr(const at::Tensor & A, c10::string_view mode="reduced");
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> linalg_qr_out(at::Tensor & Q, at::Tensor & R, const at::Tensor & A, c10::string_view mode="reduced");
+TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> linalg_qr_outf(const at::Tensor & A, c10::string_view mode, at::Tensor & Q, at::Tensor & R);
+
+} // namespace cuda
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_vecdot_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_vecdot_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..4a789205803163299927d2ad2defde8f3bcbb7d2
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/linalg_vecdot_native.h
@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor linalg_vecdot(const at::Tensor & x, const at::Tensor & y, int64_t dim=-1);
+TORCH_API at::Tensor & linalg_vecdot_out(const at::Tensor & x, const at::Tensor & y, int64_t dim, at::Tensor & out);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..10e184c5a7292d6d56b022a19d861b05b6e13e12
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor matrix_exp(const at::Tensor & self);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/max_pool2d_with_indices_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/max_pool2d_with_indices_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..c652ea8a4776691a1287fa6eed1afa532e752dd5
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/max_pool2d_with_indices_ops.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API max_pool2d_with_indices_out {
+  using schema = ::std::tuple<at::Tensor &,at::Tensor &> (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool, at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::max_pool2d_with_indices")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "max_pool2d_with_indices.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!))")
+  static ::std::tuple<at::Tensor &,at::Tensor &> call(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out, at::Tensor & indices);
+  static ::std::tuple<at::Tensor &,at::Tensor &> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out, at::Tensor & indices);
+};
+
+struct TORCH_API max_pool2d_with_indices {
+  using schema = ::std::tuple<at::Tensor,at::Tensor> (const at::Tensor &, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, at::IntArrayRef, bool);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::max_pool2d_with_indices")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor)")
+  static ::std::tuple<at::Tensor,at::Tensor> call(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode);
+  static ::std::tuple<at::Tensor,at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/ormqr.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/ormqr.h
new file mode 100644
index 0000000000000000000000000000000000000000..85d20d27aa0c9e9e76a783316dfdeec33b9f9f12
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/ormqr.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/ormqr_ops.h>
+
+namespace at {
+
+
+// aten::ormqr.out(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & ormqr_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left=true, bool transpose=false) {
+    return at::_ops::ormqr_out::call(self, input2, input3, left, transpose, out);
+}
+// aten::ormqr.out(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & ormqr_outf(const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left, bool transpose, at::Tensor & out) {
+    return at::_ops::ormqr_out::call(self, input2, input3, left, transpose, out);
+}
+
+// aten::ormqr(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False) -> Tensor
+inline at::Tensor ormqr(const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left=true, bool transpose=false) {
+    return at::_ops::ormqr::call(self, input2, input3, left, transpose);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/output_nr_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/output_nr_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..ef6b2b84dd774012b664d1a180ee2b221753d4ae
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/output_nr_native.h
@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API int64_t output_nr(const at::Tensor & self);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..9deb2d792d4fdcec11390527b29227befde71100
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pad_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor pad(const at::Tensor & self, at::IntArrayRef pad, c10::string_view mode="constant", c10::optional<double> value=c10::nullopt);
+TORCH_API at::Tensor pad_symint(const at::Tensor & self, c10::SymIntArrayRef pad, c10::string_view mode="constant", c10::optional<double> value=c10::nullopt);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pow.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pow.h
new file mode 100644
index 0000000000000000000000000000000000000000..ad1ac48e3282ae2b623d8601b43c40bffcad8b6e
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pow.h
@@ -0,0 +1,67 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/pow_ops.h>
+
+namespace at {
+
+
+// aten::pow.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & pow_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent) {
+    return at::_ops::pow_Tensor_Tensor_out::call(self, exponent, out);
+}
+// aten::pow.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & pow_outf(const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out) {
+    return at::_ops::pow_Tensor_Tensor_out::call(self, exponent, out);
+}
+
+// aten::pow.Tensor_Tensor(Tensor self, Tensor exponent) -> Tensor
+inline at::Tensor pow(const at::Tensor & self, const at::Tensor & exponent) {
+    return at::_ops::pow_Tensor_Tensor::call(self, exponent);
+}
+
+// aten::pow.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & pow_out(at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent) {
+    return at::_ops::pow_Scalar_out::call(self, exponent, out);
+}
+// aten::pow.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & pow_outf(const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out) {
+    return at::_ops::pow_Scalar_out::call(self, exponent, out);
+}
+
+// aten::pow.Scalar(Scalar self, Tensor exponent) -> Tensor
+inline at::Tensor pow(const at::Scalar & self, const at::Tensor & exponent) {
+    return at::_ops::pow_Scalar::call(self, exponent);
+}
+
+// aten::pow.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & pow_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent) {
+    return at::_ops::pow_Tensor_Scalar_out::call(self, exponent, out);
+}
+// aten::pow.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & pow_outf(const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out) {
+    return at::_ops::pow_Tensor_Scalar_out::call(self, exponent, out);
+}
+
+// aten::pow.Tensor_Scalar(Tensor self, Scalar exponent) -> Tensor
+inline at::Tensor pow(const at::Tensor & self, const at::Scalar & exponent) {
+    return at::_ops::pow_Tensor_Scalar::call(self, exponent);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pow_cpu_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pow_cpu_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..41d76bb8ada02710eb71c57ff21d47f878cd3cc9
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/pow_cpu_dispatch.h
@@ -0,0 +1,33 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cpu {
+
+TORCH_API at::Tensor pow(const at::Tensor & self, const at::Tensor & exponent);
+TORCH_API at::Tensor & pow_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent);
+TORCH_API at::Tensor & pow_outf(const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out);
+TORCH_API at::Tensor & pow_(at::Tensor & self, const at::Tensor & exponent);
+TORCH_API at::Tensor pow(const at::Scalar & self, const at::Tensor & exponent);
+TORCH_API at::Tensor & pow_out(at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent);
+TORCH_API at::Tensor & pow_outf(const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out);
+TORCH_API at::Tensor pow(const at::Tensor & self, const at::Scalar & exponent);
+TORCH_API at::Tensor & pow_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent);
+TORCH_API at::Tensor & pow_outf(const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out);
+TORCH_API at::Tensor & pow_(at::Tensor & self, const at::Scalar & exponent);
+
+} // namespace cpu
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..302a701b93cf248570a8458f97bc5b62048c1ed9
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/prod_compositeexplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor & prod_out(at::Tensor & out, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt);
+TORCH_API at::Tensor & prod_outf(const at::Tensor & self, c10::optional<at::ScalarType> dtype, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/reflection_pad2d.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/reflection_pad2d.h
new file mode 100644
index 0000000000000000000000000000000000000000..efda45d7d74fc3c17ef35d567c92e170705528f6
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/reflection_pad2d.h
@@ -0,0 +1,91 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/reflection_pad2d_ops.h>
+
+namespace at {
+
+
+// aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & reflection_pad2d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
+    return at::_ops::reflection_pad2d_out::call(self, c10::fromIntArrayRefSlow(padding), out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & reflection_pad2d_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) {
+    return at::_ops::reflection_pad2d_out::call(self, c10::fromIntArrayRefSlow(padding), out);
+  }
+}
+
+// aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & reflection_pad2d_outf(const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
+    return at::_ops::reflection_pad2d_out::call(self, c10::fromIntArrayRefSlow(padding), out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor & reflection_pad2d_outf(const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) {
+    return at::_ops::reflection_pad2d_out::call(self, c10::fromIntArrayRefSlow(padding), out);
+  }
+}
+
+// aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & reflection_pad2d_symint_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) {
+    return at::_ops::reflection_pad2d_out::call(self, padding, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & reflection_pad2d_out(at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) {
+    return at::_ops::reflection_pad2d_out::call(self, padding, out);
+  }
+}
+
+// aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & reflection_pad2d_symint_outf(const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) {
+    return at::_ops::reflection_pad2d_out::call(self, padding, out);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor & reflection_pad2d_outf(const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) {
+    return at::_ops::reflection_pad2d_out::call(self, padding, out);
+  }
+}
+
+// aten::reflection_pad2d(Tensor self, SymInt[4] padding) -> Tensor
+inline at::Tensor reflection_pad2d(const at::Tensor & self, at::IntArrayRef padding) {
+    return at::_ops::reflection_pad2d::call(self, c10::fromIntArrayRefSlow(padding));
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
+  at::Tensor reflection_pad2d(const at::Tensor & self, at::IntArrayRef padding) {
+    return at::_ops::reflection_pad2d::call(self, c10::fromIntArrayRefSlow(padding));
+  }
+}
+
+// aten::reflection_pad2d(Tensor self, SymInt[4] padding) -> Tensor
+inline at::Tensor reflection_pad2d_symint(const at::Tensor & self, c10::SymIntArrayRef padding) {
+    return at::_ops::reflection_pad2d::call(self, padding);
+}
+namespace symint {
+  template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
+  at::Tensor reflection_pad2d(const at::Tensor & self, c10::SymIntArrayRef padding) {
+    return at::_ops::reflection_pad2d::call(self, padding);
+  }
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/repeat_interleave_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/repeat_interleave_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..df3925fe2777f37cbb518b68af87e3f758da483b
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/repeat_interleave_native.h
@@ -0,0 +1,25 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor & repeat_interleave_Tensor_out_symint(const at::Tensor & repeats, c10::optional<c10::SymInt> output_size, at::Tensor & out);
+TORCH_API at::Tensor repeat_interleave_cpu(const at::Tensor & repeats, c10::optional<int64_t> output_size=c10::nullopt);
+TORCH_API at::Tensor repeat_interleave_cuda(const at::Tensor & repeats, c10::optional<int64_t> output_size=c10::nullopt);
+TORCH_API at::Tensor repeat_interleave_symint(const at::Tensor & self, const at::Tensor & repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<c10::SymInt> output_size=c10::nullopt);
+TORCH_API at::Tensor repeat_interleave_symint(const at::Tensor & self, c10::SymInt repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<c10::SymInt> output_size=c10::nullopt);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..468897e957bb1ebcff5d66863de0b29543ca4fd2
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/resize_as_sparse_compositeexplicitautograd_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor resize_as_sparse(const at::Tensor & self, const at::Tensor & the_template);
+TORCH_API const at::Tensor & resize_as_sparse_out(const at::Tensor & out, const at::Tensor & self, const at::Tensor & the_template);
+TORCH_API const at::Tensor & resize_as_sparse_outf(const at::Tensor & self, const at::Tensor & the_template, const at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/resize_meta_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/resize_meta_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..eb3898698208aaf6afa6ee395857b025cb04cb40
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/resize_meta_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API const at::Tensor & resize_(const at::Tensor & self, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt);
+TORCH_API const at::Tensor & resize__symint(const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt);
+
+} // namespace meta
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..7e34f4b2acfaff2944c5b8a6e25e77cb5f2eaefb
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/scalar_tensor_compositeexplicitautograd_dispatch.h
@@ -0,0 +1,26 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeexplicitautograd {
+
+TORCH_API at::Tensor scalar_tensor(const at::Scalar & s, at::TensorOptions options={});
+TORCH_API at::Tensor scalar_tensor(const at::Scalar & s, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory);
+TORCH_API at::Tensor & scalar_tensor_out(at::Tensor & out, const at::Scalar & s);
+TORCH_API at::Tensor & scalar_tensor_outf(const at::Scalar & s, at::Tensor & out);
+
+} // namespace compositeexplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/scatter_meta_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/scatter_meta_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..9294ba854b56891a7c8e1361eca34bdc238896ee
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/scatter_meta_dispatch.h
@@ -0,0 +1,38 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace meta {
+
+TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src);
+TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src);
+TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, at::Tensor & out);
+TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src);
+TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value);
+TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value);
+TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, at::Tensor & out);
+TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value);
+TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce);
+TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce);
+TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, at::Tensor & out);
+TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce);
+TORCH_API at::Tensor scatter(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce);
+TORCH_API at::Tensor & scatter_out(at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce);
+TORCH_API at::Tensor & scatter_outf(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce, at::Tensor & out);
+TORCH_API at::Tensor & scatter_(at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce);
+
+} // namespace meta
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..97a02ee0b41b3058d27fefafe0d2365cd09e9228
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/select_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,23 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor select(const at::Tensor & self, at::Dimname dim, int64_t index);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..0b8a3fc58301808f83e630b80f3ebe252b0ea31d
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/size_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API int64_t size(const at::Tensor & self, int64_t dim);
+TORCH_API int64_t size(const at::Tensor & self, at::Dimname dim);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/soft_margin_loss_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/soft_margin_loss_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..fadc104fc26fd72316635397bc7265a2c9810db5
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/soft_margin_loss_native.h
@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor soft_margin_loss(const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean);
+TORCH_API at::Tensor & soft_margin_loss_out(const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/sparse_bsc_tensor_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/sparse_bsc_tensor_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..aea0b861786d580d7fd518d5253b1020e821a0e0
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/sparse_bsc_tensor_native.h
@@ -0,0 +1,22 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API at::Tensor sparse_bsc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype={}, c10::optional<at::Layout> layout={}, c10::optional<at::Device> device={}, c10::optional<bool> pin_memory={});
+TORCH_API at::Tensor sparse_bsc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype={}, c10::optional<at::Layout> layout={}, c10::optional<at::Device> device={}, c10::optional<bool> pin_memory={});
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_bessel_y0.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_bessel_y0.h
new file mode 100644
index 0000000000000000000000000000000000000000..0af360b48aa33ef101d0bca001227d09611dea6d
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_bessel_y0.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/special_bessel_y0_ops.h>
+
+namespace at {
+
+
+// aten::special_bessel_y0(Tensor self) -> Tensor
+inline at::Tensor special_bessel_y0(const at::Tensor & self) {
+    return at::_ops::special_bessel_y0::call(self);
+}
+
+// aten::special_bessel_y0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_bessel_y0_out(at::Tensor & out, const at::Tensor & self) {
+    return at::_ops::special_bessel_y0_out::call(self, out);
+}
+// aten::special_bessel_y0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_bessel_y0_outf(const at::Tensor & self, at::Tensor & out) {
+    return at::_ops::special_bessel_y0_out::call(self, out);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..351fbcb23eb9fda00d0118cf5bfac96c74617901
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_t_native.h
@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+#include <ATen/ops/special_chebyshev_polynomial_t_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_special_chebyshev_polynomial_t_out : public at::meta::structured_special_chebyshev_polynomial_t {
+void impl(const at::Tensor & x, const at::Tensor & n, const at::Tensor & out);
+};
+TORCH_API at::Tensor special_chebyshev_polynomial_t(const at::Scalar & x, const at::Tensor & n);
+TORCH_API at::Tensor & special_chebyshev_polynomial_t_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out);
+TORCH_API at::Tensor special_chebyshev_polynomial_t(const at::Tensor & x, const at::Scalar & n);
+TORCH_API at::Tensor & special_chebyshev_polynomial_t_out(const at::Tensor & x, const at::Scalar & n, at::Tensor & out);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h
new file mode 100644
index 0000000000000000000000000000000000000000..236562d05ecfabc6eb6696f9f0f642909fdae87d
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_chebyshev_polynomial_u_ops.h
@@ -0,0 +1,83 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Operator.h
+
+#include <tuple>
+#include <vector>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+namespace _ops {
+
+
+struct TORCH_API special_chebyshev_polynomial_u {
+  using schema = at::Tensor (const at::Tensor &, const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_chebyshev_polynomial_u")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_chebyshev_polynomial_u(Tensor x, Tensor n) -> Tensor")
+  static at::Tensor call(const at::Tensor & x, const at::Tensor & n);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n);
+};
+
+struct TORCH_API special_chebyshev_polynomial_u_x_scalar {
+  using schema = at::Tensor (const at::Scalar &, const at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_chebyshev_polynomial_u")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "x_scalar")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_chebyshev_polynomial_u.x_scalar(Scalar x, Tensor n) -> Tensor")
+  static at::Tensor call(const at::Scalar & x, const at::Tensor & n);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n);
+};
+
+struct TORCH_API special_chebyshev_polynomial_u_n_scalar {
+  using schema = at::Tensor (const at::Tensor &, const at::Scalar &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_chebyshev_polynomial_u")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "n_scalar")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_chebyshev_polynomial_u.n_scalar(Tensor x, Scalar n) -> Tensor")
+  static at::Tensor call(const at::Tensor & x, const at::Scalar & n);
+  static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n);
+};
+
+struct TORCH_API special_chebyshev_polynomial_u_out {
+  using schema = at::Tensor & (const at::Tensor &, const at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_chebyshev_polynomial_u")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_chebyshev_polynomial_u.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & x, const at::Tensor & n, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out);
+};
+
+struct TORCH_API special_chebyshev_polynomial_u_x_scalar_out {
+  using schema = at::Tensor & (const at::Scalar &, const at::Tensor &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_chebyshev_polynomial_u")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "x_scalar_out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_chebyshev_polynomial_u.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Scalar & x, const at::Tensor & n, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out);
+};
+
+struct TORCH_API special_chebyshev_polynomial_u_n_scalar_out {
+  using schema = at::Tensor & (const at::Tensor &, const at::Scalar &, at::Tensor &);
+  using ptr_schema = schema*;
+  // See Note [static constexpr char* members for windows NVCC]
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::special_chebyshev_polynomial_u")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "n_scalar_out")
+  STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "special_chebyshev_polynomial_u.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!)")
+  static at::Tensor & call(const at::Tensor & x, const at::Scalar & n, at::Tensor & out);
+  static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out);
+};
+
+}} // namespace at::_ops
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_entr_meta.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_entr_meta.h
new file mode 100644
index 0000000000000000000000000000000000000000..714fc2381a5ab436c31355174f4ceb151aef9f28
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_entr_meta.h
@@ -0,0 +1,27 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeMetaFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/TensorIterator.h>
+#include <ATen/TensorMeta.h>
+#include <tuple>
+#include <vector>
+
+namespace at {
+namespace meta {
+
+struct TORCH_API structured_special_entr : public TensorIteratorBase {
+    
+    
+    void meta(const at::Tensor & self);
+};
+
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_i0e.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_i0e.h
new file mode 100644
index 0000000000000000000000000000000000000000..aa99d55256c416c3f830bb784ada351a3e0e9008
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_i0e.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/special_i0e_ops.h>
+
+namespace at {
+
+
+// aten::special_i0e(Tensor self) -> Tensor
+inline at::Tensor special_i0e(const at::Tensor & self) {
+    return at::_ops::special_i0e::call(self);
+}
+
+// aten::special_i0e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_i0e_out(at::Tensor & out, const at::Tensor & self) {
+    return at::_ops::special_i0e_out::call(self, out);
+}
+// aten::special_i0e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_i0e_outf(const at::Tensor & self, at::Tensor & out) {
+    return at::_ops::special_i0e_out::call(self, out);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_log_ndtr.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_log_ndtr.h
new file mode 100644
index 0000000000000000000000000000000000000000..870c11f8833b4e8d5f4ca82c9a3b307b4301542d
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/special_log_ndtr.h
@@ -0,0 +1,39 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/special_log_ndtr_ops.h>
+
+namespace at {
+
+
+// aten::special_log_ndtr(Tensor self) -> Tensor
+inline at::Tensor special_log_ndtr(const at::Tensor & self) {
+    return at::_ops::special_log_ndtr::call(self);
+}
+
+// aten::special_log_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_log_ndtr_out(at::Tensor & out, const at::Tensor & self) {
+    return at::_ops::special_log_ndtr_out::call(self, out);
+}
+// aten::special_log_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & special_log_ndtr_outf(const at::Tensor & self, at::Tensor & out) {
+    return at::_ops::special_log_ndtr_out::call(self, out);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/squeeze_copy.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/squeeze_copy.h
new file mode 100644
index 0000000000000000000000000000000000000000..e470c71b9b423add52c06a514530969aee54a200
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/squeeze_copy.h
@@ -0,0 +1,67 @@
+#pragma once
+
+// @generated by torchgen/gen.py from Function.h
+
+#include <ATen/Context.h>
+#include <ATen/DeviceGuard.h>
+#include <ATen/TensorUtils.h>
+#include <ATen/TracerMode.h>
+#include <ATen/core/Generator.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+
+
+
+#include <ATen/ops/squeeze_copy_ops.h>
+
+namespace at {
+
+
+// aten::squeeze_copy(Tensor self) -> Tensor
+inline at::Tensor squeeze_copy(const at::Tensor & self) {
+    return at::_ops::squeeze_copy::call(self);
+}
+
+// aten::squeeze_copy.dim(Tensor self, int dim) -> Tensor
+inline at::Tensor squeeze_copy(const at::Tensor & self, int64_t dim) {
+    return at::_ops::squeeze_copy_dim::call(self, dim);
+}
+
+// aten::squeeze_copy.dims(Tensor self, int[] dim) -> Tensor
+inline at::Tensor squeeze_copy(const at::Tensor & self, at::IntArrayRef dim) {
+    return at::_ops::squeeze_copy_dims::call(self, dim);
+}
+
+// aten::squeeze_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & squeeze_copy_out(at::Tensor & out, const at::Tensor & self) {
+    return at::_ops::squeeze_copy_out::call(self, out);
+}
+// aten::squeeze_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & squeeze_copy_outf(const at::Tensor & self, at::Tensor & out) {
+    return at::_ops::squeeze_copy_out::call(self, out);
+}
+
+// aten::squeeze_copy.dim_out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & squeeze_copy_out(at::Tensor & out, const at::Tensor & self, int64_t dim) {
+    return at::_ops::squeeze_copy_dim_out::call(self, dim, out);
+}
+// aten::squeeze_copy.dim_out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & squeeze_copy_outf(const at::Tensor & self, int64_t dim, at::Tensor & out) {
+    return at::_ops::squeeze_copy_dim_out::call(self, dim, out);
+}
+
+// aten::squeeze_copy.dims_out(Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & squeeze_copy_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim) {
+    return at::_ops::squeeze_copy_dims_out::call(self, dim, out);
+}
+// aten::squeeze_copy.dims_out(Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!)
+inline at::Tensor & squeeze_copy_outf(const at::Tensor & self, at::IntArrayRef dim, at::Tensor & out) {
+    return at::_ops::squeeze_copy_dims_out::call(self, dim, out);
+}
+
+}
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/sym_stride_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/sym_stride_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..b99f10a97326177f3bdcf0cee807d97491f1845f
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/sym_stride_native.h
@@ -0,0 +1,21 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+
+
+namespace at {
+namespace native {
+TORCH_API c10::SymInt sym_stride(const at::Tensor & self, int64_t dim);
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/tensor.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/tensor.h
new file mode 100644
index 0000000000000000000000000000000000000000..2f72b7ef02637983d35f5049bdb6d1bd613cd2bd
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/tensor.h
@@ -0,0 +1,30 @@
+#pragma once
+#include <ATen/core/Tensor.h>
+#include <c10/core/ScalarType.h>
+
+namespace at {
+
+// These functions are defined in ATen/Utils.cpp.
+#define TENSOR(T, S)                                                          \
+  TORCH_API Tensor tensor(ArrayRef<T> values, const TensorOptions& options);  \
+  inline Tensor tensor(                                                       \
+      std::initializer_list<T> values, const TensorOptions& options) {        \
+    return at::tensor(ArrayRef<T>(values), options);                          \
+  }                                                                           \
+  inline Tensor tensor(T value, const TensorOptions& options) {               \
+    return at::tensor(ArrayRef<T>(value), options);                           \
+  }                                                                           \
+  inline Tensor tensor(ArrayRef<T> values) {                                  \
+    return at::tensor(std::move(values), at::dtype(k##S));                    \
+  }                                                                           \
+  inline Tensor tensor(std::initializer_list<T> values) {                     \
+    return at::tensor(ArrayRef<T>(values));                                   \
+  }                                                                           \
+  inline Tensor tensor(T value) {                                             \
+    return at::tensor(ArrayRef<T>(value));                                    \
+  }
+AT_FORALL_SCALAR_TYPES_AND3(Bool, Half, BFloat16, TENSOR)
+AT_FORALL_COMPLEX_TYPES(TENSOR)
+#undef TENSOR
+
+}  // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..183d084e51e8355e1b413662f6a745acd8b6278e
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h
@@ -0,0 +1,24 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace compositeimplicitautograd {
+
+TORCH_API at::Tensor upsample_bicubic2d(const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors);
+TORCH_API at::Tensor upsample_bicubic2d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors);
+
+} // namespace compositeimplicitautograd
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bilinear2d_backward_native.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bilinear2d_backward_native.h
new file mode 100644
index 0000000000000000000000000000000000000000..2e0820ec7a5203a41fe4802e5dda105490489d34
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/upsample_bilinear2d_backward_native.h
@@ -0,0 +1,26 @@
+#pragma once
+
+// @generated by torchgen/gen.py from NativeFunction.h
+
+#include <c10/core/Scalar.h>
+#include <c10/core/Storage.h>
+#include <c10/core/TensorOptions.h>
+#include <c10/util/Deprecated.h>
+#include <c10/util/Optional.h>
+#include <c10/core/QScheme.h>
+#include <ATen/core/Reduction.h>
+#include <ATen/core/Tensor.h>
+#include <tuple>
+#include <vector>
+#include <ATen/ops/upsample_bilinear2d_backward_meta.h>
+
+namespace at {
+namespace native {
+struct TORCH_API structured_upsample_bilinear2d_backward_out_cpu : public at::meta::structured_upsample_bilinear2d_backward {
+void impl(const at::Tensor & grad_output, at::ArrayRef<int64_t> output_size, at::ArrayRef<int64_t> input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, const at::Tensor & grad_input);
+};
+struct TORCH_API structured_upsample_bilinear2d_backward_out_cuda : public at::meta::structured_upsample_bilinear2d_backward {
+void impl(const at::Tensor & grad_output, at::ArrayRef<int64_t> output_size, at::ArrayRef<int64_t> input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, const at::Tensor & grad_input);
+};
+} // namespace native
+} // namespace at
diff --git a/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/var_cuda_dispatch.h b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/var_cuda_dispatch.h
new file mode 100644
index 0000000000000000000000000000000000000000..020cf2d82415b1e803515e6b04855878fbf60833
--- /dev/null
+++ b/llmeval-env/lib/python3.10/site-packages/torch/include/ATen/ops/var_cuda_dispatch.h
@@ -0,0 +1,25 @@
+#pragma once
+// @generated by torchgen/gen.py from DispatchKeyFunction.h
+
+// NB: The implementing C++ file is RegisterDispatchKey.cpp
+
+// The only #includes we need are for custom classes that have defaults in the C++ API
+#include <c10/core/MemoryFormat.h>
+#include <c10/core/Scalar.h>
+#include <ATen/core/Reduction.h>
+
+// Forward declarations of any types needed in the operator signatures.
+// We can't directly include these classes because it will cause circular include dependencies.
+// This file is included by TensorBody.h, which defines the Tensor class.
+#include <ATen/core/ATen_fwd.h>
+
+namespace at {
+
+namespace cuda {
+
+TORCH_API at::Tensor var(const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, const c10::optional<at::Scalar> & correction=c10::nullopt, bool keepdim=false);
+TORCH_API at::Tensor & var_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, const c10::optional<at::Scalar> & correction=c10::nullopt, bool keepdim=false);
+TORCH_API at::Tensor & var_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, const c10::optional<at::Scalar> & correction, bool keepdim, at::Tensor & out);
+
+} // namespace cuda
+} // namespace at