wehub-resource-sync
113 lines
4.8 KiB
C++
113 lines
4.8 KiB
C++
/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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Copyright (c) 2022 NVIDIA Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include <cublasLt.h>
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#include <cuda.h>
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#include <mutex> // NOLINT
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#include <type_traits>
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#include "paddle/phi/backends/dynload/dynamic_loader.h"
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#include "paddle/phi/common/port.h"
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namespace phi {
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namespace dynload {
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extern std::once_flag cublasLt_dso_flag;
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extern void *cublasLt_dso_handle;
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/**
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* The following macro definition can generate structs
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* (for each function) to dynamic load cublasLt routine
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* via operator overloading.
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*
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* note: default dynamic linked libs
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*/
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#define DECLARE_DYNAMIC_LOAD_CUBLASLT_WRAP(__name) \
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struct DynLoad__##__name { \
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template <typename... Args> \
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inline auto operator()(Args... args) -> DECLARE_TYPE(__name, args...) { \
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using cublasLt_func = \
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decltype(::__name(std::declval<Args>()...)) (*)(Args...); \
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std::call_once(cublasLt_dso_flag, []() { \
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cublasLt_dso_handle = phi::dynload::GetCublasLtDsoHandle(); \
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}); \
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static void *p_##__name = dlsym(cublasLt_dso_handle, #__name); \
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return reinterpret_cast<cublasLt_func>(p_##__name)(args...); \
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} \
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}; \
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extern DynLoad__##__name __name
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// APIs available after CUDA 11.1
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#if CUDA_VERSION >= 11010 || defined(PADDLE_WITH_CUSTOM_DEVICE)
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#define CUBLASLT_BLAS_ROUTINE_EACH(__macro) \
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__macro(cublasLtCreate); \
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__macro(cublasLtDestroy); \
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__macro(cublasLtMatmul); \
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__macro(cublasLtMatmulDescCreate); \
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__macro(cublasLtMatmulDescDestroy); \
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__macro(cublasLtMatmulDescSetAttribute); \
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__macro(cublasLtMatmulDescGetAttribute); \
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__macro(cublasLtMatrixLayoutCreate); \
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__macro(cublasLtMatrixLayoutDestroy); \
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__macro(cublasLtMatrixLayoutSetAttribute); \
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__macro(cublasLtMatrixLayoutGetAttribute); \
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__macro(cublasLtMatmulPreferenceCreate); \
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__macro(cublasLtMatmulPreferenceDestroy); \
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__macro(cublasLtMatmulPreferenceSetAttribute); \
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__macro(cublasLtMatmulAlgoGetHeuristic); \
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__macro(cublasLtMatrixTransform); \
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__macro(cublasLtMatrixTransformDescCreate); \
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__macro(cublasLtMatrixTransformDescDestroy); \
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__macro(cublasLtMatrixTransformDescSetAttribute); \
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__macro(cublasLtMatmulAlgoInit); \
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__macro(cublasLtMatmulAlgoConfigSetAttribute); \
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__macro(cublasLtMatmulAlgoConfigGetAttribute); \
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__macro(cublasLtMatmulAlgoGetIds); \
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__macro(cublasLtMatmulAlgoCapGetAttribute); \
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__macro(cublasLtMatmulAlgoCheck); \
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__macro(cublasLtGetCudartVersion);
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#else
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#define CUBLASLT_BLAS_ROUTINE_EACH(__macro) \
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__macro(cublasLtCreate); \
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__macro(cublasLtDestroy); \
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__macro(cublasLtMatmul); \
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__macro(cublasLtMatmulDescCreate); \
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__macro(cublasLtMatmulDescDestroy); \
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__macro(cublasLtMatmulDescSetAttribute); \
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__macro(cublasLtMatmulDescGetAttribute); \
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__macro(cublasLtMatrixLayoutCreate); \
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__macro(cublasLtMatrixLayoutDestroy); \
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__macro(cublasLtMatrixLayoutSetAttribute); \
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__macro(cublasLtMatrixLayoutGetAttribute); \
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__macro(cublasLtMatmulPreferenceCreate); \
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__macro(cublasLtMatmulPreferenceDestroy); \
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__macro(cublasLtMatmulPreferenceSetAttribute); \
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__macro(cublasLtMatmulAlgoGetHeuristic); \
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__macro(cublasLtMatrixTransform); \
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__macro(cublasLtMatrixTransformDescCreate); \
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__macro(cublasLtMatrixTransformDescDestroy); \
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__macro(cublasLtMatrixTransformDescSetAttribute);
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#endif
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CUBLASLT_BLAS_ROUTINE_EACH(DECLARE_DYNAMIC_LOAD_CUBLASLT_WRAP)
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// #endif
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#undef DECLARE_DYNAMIC_LOAD_CUBLASLT_WRAP
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} // namespace dynload
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} // namespace phi
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