wehub-resource-sync
132 lines
3.8 KiB
C++
132 lines
3.8 KiB
C++
/* Copyright (c) 2022 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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#ifdef PADDLE_WITH_XPU
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#pragma once
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#include <cuda.h>
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#include <cuda_runtime.h>
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#include "paddle/phi/backends/xpu/enforce_xpu.h"
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#include "paddle/phi/backends/xpu/xpu_info.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/stream.h"
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using gpuStream_t = cudaStream_t;
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using gpuEvent_t = cudaEvent_t;
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namespace phi {
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// Currently, XpuCudaStream is used in python-side API only
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class XPUCUDAStream {
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public:
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enum class StreamFlag : uint8_t {
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kDefaultFlag = 0x0,
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kStreamNonBlocking = 0x1,
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};
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public:
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XPUCUDAStream(const Place& place, const Stream& stream)
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: place_(place), stream_(stream) {}
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XPUCUDAStream(const Place& place,
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const int priority = 0,
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const StreamFlag& flag = StreamFlag::kDefaultFlag) {
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place_ = place;
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cudaStream_t stream = nullptr;
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backends::xpu::XPUDeviceGuard 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::xpu::GetXpuStreamPriorityRange();
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int least_priority = priority_range.first;
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int greatest_priority = priority_range.second;
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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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PADDLE_ENFORCE_XPU_SUCCESS(cudaStreamCreateWithPriority(
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&stream, static_cast<unsigned int>(flag), priority));
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// VLOG(10) << "Create XPUCUDAStream " << stream
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// << " 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_t raw_stream() const {
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return reinterpret_cast<cudaStream_t>(id());
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}
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void set_raw_stream(cudaStream_t stream) {
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if (owned_ && stream_.id() != 0) {
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backends::xpu::XPUDeviceGuard guard(place_.device);
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PADDLE_ENFORCE_XPU_SUCCESS(cudaStreamDestroy(raw_stream()));
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}
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stream_ = Stream(reinterpret_cast<StreamId>(stream));
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}
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StreamId id() const { return stream_.id(); }
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Place place() const { return place_; }
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bool Query() const {
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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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PADDLE_ENFORCE_XPU_SUCCESS(err);
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return false;
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}
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void Synchronize() const {
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// VLOG(10) << "Synchronize " << raw_stream();
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backends::xpu::XpuStreamSync(raw_stream());
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}
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void WaitEvent(cudaEvent_t ev) const {
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PADDLE_ENFORCE_XPU_SUCCESS(cudaStreamWaitEvent(raw_stream(), ev, 0));
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}
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~XPUCUDAStream() {
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// VLOG(10) << "~XPUCUDAStream " << raw_stream();
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Synchronize();
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if (owned_ && stream_.id() != 0) {
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backends::xpu::XPUDeviceGuard guard(place_.device);
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cudaStreamDestroy(raw_stream());
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}
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}
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private:
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Place place_;
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Stream stream_;
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bool owned_{false}; // whether the stream is created and owned by self
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};
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} // namespace phi
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#endif
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