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gpu_resources.cc
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gpu_resources.cc
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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/backends/gpu/gpu_resources.h"
#include "paddle/phi/api/include/tensor.h"
#include "paddle/phi/backends/gpu/gpu_decls.h"
#include "paddle/phi/backends/gpu/gpu_info.h"
#include "paddle/phi/common/place.h"
#include "paddle/phi/core/allocator.h"
#ifdef PADDLE_WITH_CUDA
#include "paddle/phi/backends/dynload/cublas.h"
#include "paddle/phi/backends/dynload/cudnn.h"
#include "paddle/phi/backends/dynload/cusolver.h"
#include "paddle/phi/backends/dynload/cusparse.h"
#if !defined(__APPLE__) && defined(PADDLE_WITH_NCCL)
#include "paddle/phi/backends/dynload/nccl.h"
#endif // !defined(__APPLE__) && defined(PADDLE_WITH_NCCL)
#endif // PADDLE_WITH_CUDA
#include "unsupported/Eigen/CXX11/Tensor"
// TODO(phi): remove fluid header.
#include "paddle/fluid/platform/enforce.h"
namespace phi {
void InitGpuProperties(Place place,
int* compute_capability,
int* runtime_version,
int* driver_version,
int* multi_process,
int* max_threads_per_mp,
int* max_threads_per_block,
std::array<int, 3>* max_grid_dim_size) {
backends::gpu::GPUDeviceGuard guard(place.GetDeviceId());
*compute_capability =
backends::gpu::GetGPUComputeCapability(place.GetDeviceId());
*multi_process = backends::gpu::GetGPUMultiProcessors(place.GetDeviceId());
*max_threads_per_mp =
backends::gpu::GetGPUMaxThreadsPerMultiProcessor(place.GetDeviceId());
*max_grid_dim_size = backends::gpu::GetGpuMaxGridDimSize(place.GetDeviceId());
*max_threads_per_block =
backends::gpu::GetGPUMaxThreadsPerBlock(place.GetDeviceId());
*driver_version = backends::gpu::GetGPUDriverVersion(place.GetDeviceId());
*runtime_version = backends::gpu::GetGPURuntimeVersion(place.GetDeviceId());
// TODO(wilber): glog may be replaced in the future?
LOG_FIRST_N(WARNING, 1) << "Please NOTE: device: "
<< static_cast<int>(place.device)
<< ", GPU Compute Capability: "
<< *compute_capability / 10 << "."
<< *compute_capability % 10
<< ", Driver API Version: " << *driver_version / 1000
<< "." << (*driver_version % 100) / 10
<< ", Runtime API Version: "
<< *runtime_version / 1000 << "."
<< (*runtime_version % 100) / 10;
#ifdef PADDLE_WITH_HIP
size_t miopen_major, miopen_minor, miopen_patch;
PADDLE_ENFORCE_GPU_SUCCESS(
dynload::miopenGetVersion(&miopen_major, &miopen_minor, &miopen_patch));
auto cudnn_dso_ver =
(miopen_major * 1000 + miopen_minor * 10 + miopen_patch) / 10;
auto compile_miopen_version = MIOPEN_VERSION / 10;
if (cudnn_dso_ver < static_cast<size_t>(compile_miopen_version)) {
LOG_FIRST_N(WARNING, 1)
<< "WARNING: device: " << static_cast<int>(place.device)
<< ". The installed Paddle is compiled with MIOPEN "
<< compile_miopen_version / 100 << "." << compile_miopen_version % 100
<< ", but MIOPEN version in your machine is " << cudnn_dso_ver / 100
<< "." << cudnn_dso_ver % 100
<< ", which may cause serious incompatible bug. "
<< "Please recompile or reinstall Paddle with compatible MIOPEN "
"version.";
}
#else
size_t cudnn_dso_ver = dynload::cudnnGetVersion();
LOG_FIRST_N(WARNING, 1) << "device: " << static_cast<int>(place.device)
<< ", cuDNN Version: " << cudnn_dso_ver / 1000 << "."
<< (cudnn_dso_ver % 1000) / 100 << ".";
// Check CUDA/CUDNN version compatiblity
auto local_cuda_version =
(*driver_version / 1000) * 10 + (*driver_version % 100) / 10;
auto compile_cuda_version =
(CUDA_VERSION / 1000) * 10 + (CUDA_VERSION % 100) / 10;
if (local_cuda_version < compile_cuda_version) {
LOG_FIRST_N(WARNING, 1)
<< "WARNING: device: " << static_cast<int>(place.device)
<< ". The installed Paddle is compiled with CUDA "
<< compile_cuda_version / 10 << "." << compile_cuda_version % 10
<< ", but CUDA runtime version in your machine is "
<< local_cuda_version / 10 << "." << local_cuda_version % 10
<< ", which may cause serious incompatible bug. "
<< "Please recompile or reinstall Paddle with compatible CUDA "
"version.";
}
#endif
}
void InitStream(gpuStream_t* stream) {
#ifdef PADDLE_WITH_HIP
PADDLE_ENFORCE_GPU_SUCCESS(
hipStreamCreateWithPriority(stream, hipStreamDefault, 0));
#else
PADDLE_ENFORCE_GPU_SUCCESS(
cudaStreamCreateWithPriority(stream, cudaStreamDefault, 0));
#endif
}
void DestoryStream(gpuStream_t stream) {
if (stream != nullptr) {
#ifdef PADDLE_WITH_HIP
PADDLE_ENFORCE_GPU_SUCCESS(hipStreamDestroy(stream));
#else
PADDLE_ENFORCE_GPU_SUCCESS(cudaStreamDestroy(stream));
#endif
}
stream = nullptr;
}
void InitBlasHandle(blasHandle_t* blas_handle, gpuStream_t stream) {
#ifdef PADDLE_WITH_HIP
phi::dynload::rocblas_create_handle(blas_handle);
phi::dynload::rocblas_set_stream(*blas_handle, stream);
#else // PADDLE_WITH_CUDA
PADDLE_RETRY_CUDA_SUCCESS(phi::dynload::cublasCreate(blas_handle));
PADDLE_RETRY_CUDA_SUCCESS(
phi::dynload::cublasSetStream(*blas_handle, stream));
#endif // PADDLE_WITH_HIP
}
void DestroyBlasHandle(blasHandle_t handle) {
#ifdef PADDLE_WITH_HIP
if (handle != nullptr) {
phi::dynload::rocblas_destroy_handle(handle);
handle = nullptr;
}
#else
if (handle != nullptr) {
phi::dynload::cublasDestroy(handle);
handle = nullptr;
}
#endif // PADDLE_WITH_HIP
}
void InitBlasLtHandle(blasLtHandle_t* blaslt_handle) {
#if defined(PADDLE_WITH_CUDA) && CUDA_VERSION >= 11060
phi::dynload::cublasLtCreate(blaslt_handle);
#endif
}
void DestroyBlasLtHandle(blasLtHandle_t handle) {
#if defined(PADDLE_WITH_CUDA) && CUDA_VERSION >= 11060
if (handle != nullptr) {
phi::dynload::cublasLtDestroy(handle);
handle = nullptr;
}
#endif
}
void InitDnnHandle(dnnHandle_t* handle, gpuStream_t stream, Place place) {
if (phi::dynload::HasCUDNN()) {
#ifdef PADDLE_WITH_HIP
size_t miopen_major, miopen_minor, miopen_patch;
PADDLE_ENFORCE_GPU_SUCCESS(
dynload::miopenGetVersion(&miopen_major, &miopen_minor, &miopen_patch));
auto local_miopen_version =
(miopen_major * 1000 + miopen_minor * 10 + miopen_patch) / 10;
auto compile_miopen_version = MIOPEN_VERSION / 10;
if (local_miopen_version < static_cast<size_t>(compile_miopen_version)) {
LOG_FIRST_N(WARNING, 1)
<< "WARNING: device: " << place.device
<< ". The installed Paddle is compiled with MIOPEN "
<< compile_miopen_version / 100 << "." << compile_miopen_version % 100
<< ", but MIOPEN version in your machine is "
<< local_miopen_version / 100 << "." << local_miopen_version % 100
<< ", which may cause serious incompatible bug. "
<< "Please recompile or reinstall Paddle with compatible MIOPEN "
"version.";
}
PADDLE_ENFORCE_GPU_SUCCESS(dynload::miopenCreate(handle));
PADDLE_ENFORCE_GPU_SUCCESS(dynload::miopenSetStream(*handle, stream));
#else
auto local_cudnn_version = phi::dynload::cudnnGetVersion() / 100;
auto compile_cudnn_version = CUDNN_VERSION / 100;
if (local_cudnn_version < static_cast<size_t>(compile_cudnn_version)) {
LOG_FIRST_N(WARNING, 1)
<< "WARNING: device: " << place.device
<< ". The installed Paddle is compiled with CUDNN "
<< compile_cudnn_version / 10 << "." << compile_cudnn_version % 10
<< ", but CUDNN version in your machine is "
<< local_cudnn_version / 10 << "." << local_cudnn_version % 10
<< ", which may cause serious incompatible bug. "
<< "Please recompile or reinstall Paddle with compatible CUDNN "
"version.";
}
PADDLE_RETRY_CUDA_SUCCESS(phi::dynload::cudnnCreate(handle));
PADDLE_RETRY_CUDA_SUCCESS(phi::dynload::cudnnSetStream(*handle, stream));
#endif
} else {
*handle = nullptr;
}
}
void DestroyDnnHandle(dnnHandle_t handle) {
#ifdef PADDLE_WITH_HIP
if (handle != nullptr) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::miopenDestroy(handle));
handle = nullptr;
}
#else
if (handle != nullptr) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cudnnDestroy(handle));
handle = nullptr;
}
#endif // PADDLE_WITH_HIP
}
void InitSolverHandle(solverHandle_t* handle, gpuStream_t stream) {
#ifndef PADDLE_WITH_HIP
PADDLE_RETRY_CUDA_SUCCESS(phi::dynload::cusolverDnCreate(handle));
PADDLE_RETRY_CUDA_SUCCESS(phi::dynload::cusolverDnSetStream(*handle, stream));
#endif
}
void DestroySolverHandle(solverHandle_t solver_handle) {
#ifndef PADDLE_WITH_HIP
if (solver_handle != nullptr) {
PADDLE_ENFORCE_GPU_SUCCESS(phi::dynload::cusolverDnDestroy(solver_handle));
solver_handle = nullptr;
}
#endif
}
void InitSparseHandle(sparseHandle_t* handle, gpuStream_t stream) {
// ROCM is not yet supported
#if defined(PADDLE_WITH_CUDA)
// The generic APIs is supported from CUDA10.1
#if CUDA_VERSION >= 11000
PADDLE_RETRY_CUDA_SUCCESS(dynload::cusparseCreate(handle));
PADDLE_RETRY_CUDA_SUCCESS(dynload::cusparseSetStream(*handle, stream));
#endif
#endif
}
void DestroySparseHandle(sparseHandle_t handle) {
#ifdef PADDLE_WITH_CUDA
#if CUDA_VERSION >= 11000
if (handle != nullptr) {
PADDLE_RETRY_CUDA_SUCCESS(dynload::cusparseDestroy(handle));
handle = nullptr;
}
#endif
#endif
}
} // namespace phi