wehub-resource-sync
120 lines
3.5 KiB
C++
120 lines
3.5 KiB
C++
/* Copyright (c) 2025 PaddlePaddle 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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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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#include "paddle/phi/core/cuda_stream.h"
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#endif
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#include "glog/logging.h"
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namespace phi {
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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CUDAStream::CUDAStream(const Place& place,
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const int priority,
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const StreamFlag& flag) {
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place_ = place;
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gpuStream_t stream = nullptr;
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backends::gpu::GPUDeviceGuard guard(place_.device);
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// Stream priorities follow a convention where lower numbers imply greater
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// priorities
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auto priority_range = backends::gpu::GetGpuStreamPriorityRange();
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int least_priority = priority_range.first; // 0 in V100
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int greatest_priority = priority_range.second; // -5 in V100
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// NOTE(Ruibiao): Replacing the following `PADDLE_ENFORCE_EQ` with
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// `PADDLE_ENFORCE` leads to a nvcc compile error. This is probably a bug.
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PADDLE_ENFORCE_EQ(
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priority <= least_priority && priority >= greatest_priority,
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true,
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common::errors::InvalidArgument(
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"Cannot create a stream with priority = %d because stream priority "
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"must be inside the meaningful range [%d, %d].",
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priority,
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least_priority,
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greatest_priority));
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#ifdef PADDLE_WITH_HIP
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PADDLE_ENFORCE_GPU_SUCCESS(hipStreamCreateWithPriority(
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&stream, static_cast<unsigned int>(flag), priority));
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#else
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PADDLE_ENFORCE_GPU_SUCCESS(cudaStreamCreateWithPriority(
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&stream, static_cast<unsigned int>(flag), priority));
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#endif
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VLOG(10) << "Create CUDAStream " << stream << " with priority = " << priority
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<< ", flag = " << static_cast<unsigned int>(flag);
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stream_ = Stream(reinterpret_cast<StreamId>(stream));
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owned_ = true;
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}
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CUDAStream::CUDAStream(const Place& place, gpuStream_t external_raw_stream) {
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place_ = place;
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backends::gpu::GPUDeviceGuard guard(place_.device);
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stream_ = Stream(reinterpret_cast<StreamId>(external_raw_stream));
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owned_ = false;
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VLOG(10) << "Create CUDAStream from external stream " << external_raw_stream
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<< " on device " << place_.device;
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}
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bool CUDAStream::Query() const {
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#ifdef PADDLE_WITH_HIP
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hipError_t err = hipStreamQuery(raw_stream());
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if (err == hipSuccess) {
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return true;
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}
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if (err == hipErrorNotReady) {
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return false;
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}
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#else
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cudaError_t err = cudaStreamQuery(raw_stream());
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if (err == cudaSuccess) {
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return true;
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}
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if (err == cudaErrorNotReady) {
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return false;
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}
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#endif
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PADDLE_ENFORCE_GPU_SUCCESS(err);
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return false;
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}
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void CUDAStream::Synchronize() const {
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VLOG(10) << "Synchronize " << raw_stream();
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backends::gpu::GpuStreamSync(raw_stream());
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}
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CUDAStream::~CUDAStream() {
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VLOG(10) << "~CUDAStream " << raw_stream();
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if (owned_ && stream_.id() != 0) {
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Synchronize();
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backends::gpu::GPUDeviceGuard guard(place_.device);
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#ifdef PADDLE_WITH_HIP
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hipStreamDestroy(raw_stream());
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#else
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cudaStreamDestroy(raw_stream());
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#endif
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}
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}
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#endif
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} // namespace phi
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