/* Copyright (c) 2020 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/fluid/platform/stream/cuda_stream.h" #include "paddle/fluid/platform/cuda_device_guard.h" #include "paddle/fluid/platform/device_context.h" #include "paddle/fluid/platform/enforce.h" namespace paddle { namespace platform { namespace stream { bool CUDAStream::Init(const Place& place, const Priority& priority, const StreamFlag& flag) { PADDLE_ENFORCE_EQ(is_gpu_place(place), true, platform::errors::InvalidArgument( "Cuda stream must be created using cuda place.")); place_ = place; CUDADeviceGuard guard(BOOST_GET_CONST(CUDAPlace, place_).device); if (priority == Priority::kHigh) { #ifdef PADDLE_WITH_HIP PADDLE_ENFORCE_GPU_SUCCESS(hipStreamCreateWithPriority( &stream_, static_cast(flag), -1)); #else PADDLE_ENFORCE_GPU_SUCCESS(cudaStreamCreateWithPriority( &stream_, static_cast(flag), -1)); #endif } else if (priority == Priority::kNormal) { #ifdef PADDLE_WITH_HIP PADDLE_ENFORCE_GPU_SUCCESS(hipStreamCreateWithPriority( &stream_, static_cast(flag), 0)); #else PADDLE_ENFORCE_GPU_SUCCESS(cudaStreamCreateWithPriority( &stream_, static_cast(flag), 0)); #endif } callback_manager_.reset(new StreamCallbackManager(stream_)); VLOG(3) << "GPUStream Init stream: " << stream_ << ", priority: " << static_cast(priority) << ", flag:" << static_cast(flag); return true; } void CUDAStream::Destroy() { CUDADeviceGuard guard(BOOST_GET_CONST(CUDAPlace, place_).device); Wait(); WaitCallback(); if (stream_) { #ifdef PADDLE_WITH_HIP PADDLE_ENFORCE_GPU_SUCCESS(hipStreamDestroy(stream_)); #else PADDLE_ENFORCE_GPU_SUCCESS(cudaStreamDestroy(stream_)); #endif } stream_ = nullptr; } void CUDAStream::Wait() const { #ifdef PADDLE_WITH_HIP hipError_t e_sync = hipSuccess; #if !defined(_WIN32) e_sync = hipStreamSynchronize(stream_); #else while (e_sync = hipStreamQuery(stream_)) { if (e_sync == hipErrorNotReady) continue; break; } #endif #else cudaError_t e_sync = cudaSuccess; #if !defined(_WIN32) e_sync = cudaStreamSynchronize(stream_); #else while (e_sync = cudaStreamQuery(stream_)) { if (e_sync == cudaErrorNotReady) continue; break; } #endif #endif // PADDLE_WITH_HIP PADDLE_ENFORCE_GPU_SUCCESS(e_sync); } CUDAStream* get_current_stream(int deviceId) { #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) if (deviceId == -1) { deviceId = platform::GetCurrentDeviceId(); } auto& pool = platform::DeviceContextPool::Instance(); platform::Place device = CUDAPlace(deviceId); auto stream = static_cast(pool.Get(device)) ->context() ->Stream() .get(); return stream; #else PADDLE_THROW(platform::errors::Unavailable( "Paddle is not compiled with CUDA. Cannot visit cuda current stream.")); return nullptr; #endif } CUDAStream* set_current_stream(CUDAStream* stream) { #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) auto& device = stream->GetPlace(); auto& pool = platform::DeviceContextPool::Instance(); return static_cast(pool.Get(device)) ->context() ->SetStream(stream); #else PADDLE_THROW(platform::errors::Unavailable( "Paddle is not compiled with CUDA. Cannot visit cuda current stream.")); return nullptr; #endif } } // namespace stream } // namespace platform } // namespace paddle