wehub-resource-sync
99 lines
2.7 KiB
C++
99 lines
2.7 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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#pragma once
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#include "paddle/phi/backends/gpu/gpu_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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#ifdef PADDLE_WITH_CUDA
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#include <cuda_runtime.h>
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using gpuStream_t = cudaStream_t;
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#endif
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#ifdef PADDLE_WITH_HIP
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#include <hip/hip_runtime.h>
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using gpuStream_t = hipStream_t;
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#endif
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#include "paddle/phi/core/enforce.h"
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#include "paddle/common/flags.h"
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COMMON_DECLARE_bool(use_default_stream);
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namespace phi {
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// Currently, CudaStream is used in python-side API only
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class CUDAStream {
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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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PADDLE_API CUDAStream(const Place& place, const Stream& stream)
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: place_(place), stream_(stream) {}
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PADDLE_API explicit CUDAStream(const Place& place,
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gpuStream_t external_raw_stream);
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PADDLE_API CUDAStream(
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const Place& place,
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const int priority = 0,
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const StreamFlag& flag = FLAGS_use_default_stream
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? StreamFlag::kStreamNonBlocking
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: StreamFlag::kDefaultFlag);
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gpuStream_t raw_stream() const { return reinterpret_cast<gpuStream_t>(id()); }
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void set_raw_stream(gpuStream_t stream) {
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if (owned_ && stream_.id() != 0) {
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backends::gpu::GPUDeviceGuard guard(place_.device);
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#ifdef PADDLE_WITH_HIP
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PADDLE_ENFORCE_GPU_SUCCESS(hipStreamDestroy(raw_stream()));
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#else
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PADDLE_ENFORCE_GPU_SUCCESS(cudaStreamDestroy(raw_stream()));
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#endif
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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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PADDLE_API bool Query() const;
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PADDLE_API void Synchronize() const;
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void WaitEvent(gpuEvent_t ev) const {
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#ifdef PADDLE_WITH_HIP
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PADDLE_ENFORCE_GPU_SUCCESS(hipStreamWaitEvent(raw_stream(), ev, 0));
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#else
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PADDLE_ENFORCE_GPU_SUCCESS(cudaStreamWaitEvent(raw_stream(), ev, 0));
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#endif
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}
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PADDLE_API ~CUDAStream();
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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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