wehub-resource-sync
122 lines
4.4 KiB
C++
122 lines
4.4 KiB
C++
/* Copyright (c) 2016 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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#include "paddle/phi/core/mixed_vector.h"
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#include <algorithm>
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#include <initializer_list>
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#include <memory>
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#include <mutex> // NOLINT
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#include <utility>
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#include <vector>
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#include "glog/logging.h"
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#include "paddle/phi/backends/context_pool.h"
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/utils/none.h"
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#include "paddle/utils/optional.h"
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namespace phi {
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template <typename T>
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void CopyToCPUHelper(std::vector<T> *cpu_,
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Allocator::AllocationPtr *gpu_,
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size_t *gpu_memory_size_) {
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#if defined(PADDLE_WITH_CUSTOM_DEVICE)
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// COPY Custom Device Data To CPU
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auto *dev_ctx = static_cast<CustomContext *>(
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DeviceContextPool::Instance().Get((*gpu_)->place()));
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auto stream = dev_ctx->stream();
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void *src = (*gpu_)->ptr();
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void *dst = cpu_->data();
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memory_utils::Copy(CPUPlace(),
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dst,
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OptionalCustomPlace(*gpu_).get(),
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src,
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*gpu_memory_size_,
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stream);
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dev_ctx->Wait();
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#elif defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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// COPY GPU Data To CPU
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auto *dev_ctx = static_cast<GPUContext *>(
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DeviceContextPool::Instance().Get((*gpu_)->place()));
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auto stream = dev_ctx->stream();
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void *src = (*gpu_)->ptr();
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void *dst = cpu_->data();
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memory_utils::Copy(CPUPlace(),
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dst,
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OptionalCUDAPlace(*gpu_).get(),
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src,
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*gpu_memory_size_,
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stream);
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dev_ctx->Wait();
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#endif
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}
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template <typename T>
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void CopyCPUDataToCUDAHelper(std::vector<T> *cpu_,
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Allocator::AllocationPtr *gpu_,
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size_t *gpu_memory_size_,
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const Place &place) {
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#if defined(PADDLE_WITH_CUSTOM_DEVICE)
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void *src = cpu_->data();
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*gpu_memory_size_ = cpu_->size() * sizeof(T); // sizeof(T)
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(*gpu_) = memory_utils::Alloc(place, *gpu_memory_size_);
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void *dst = (*gpu_)->ptr();
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auto *dev_ctx =
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static_cast<CustomContext *>(DeviceContextPool::Instance().Get(place));
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auto stream = dev_ctx->stream();
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memory_utils::Copy(OptionalCustomPlace(*gpu_).get(),
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dst,
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CPUPlace(),
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src,
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*gpu_memory_size_,
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stream);
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dev_ctx->Wait();
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#elif defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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void *src = cpu_->data();
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*gpu_memory_size_ = cpu_->size() * sizeof(T); // sizeof(T)
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(*gpu_) = memory_utils::Alloc(place, *gpu_memory_size_);
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void *dst = (*gpu_)->ptr();
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auto *dev_ctx =
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static_cast<GPUContext *>(DeviceContextPool::Instance().Get(place));
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auto stream = dev_ctx->stream();
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memory_utils::Copy(OptionalCUDAPlace(*gpu_).get(),
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dst,
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CPUPlace(),
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src,
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*gpu_memory_size_,
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stream);
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dev_ctx->Wait();
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#endif
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}
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#define INSTANTIATE_VECTOR_FOR_TYPE(__TYPE__) \
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template <> \
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void MixVector<__TYPE__>::VectorData::CopyToCPU() const { \
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CopyToCPUHelper<__TYPE__>(cpu_, &gpu_, &gpu_memory_size_); \
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} \
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\
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template <> \
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void MixVector<__TYPE__>::VectorData::CopyCPUDataToCUDA(const Place &place) \
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const { \
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CopyCPUDataToCUDAHelper<__TYPE__>(cpu_, &gpu_, &gpu_memory_size_, place); \
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}
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INSTANTIATE_VECTOR_FOR_TYPE(size_t)
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INSTANTIATE_VECTOR_FOR_TYPE(int)
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INSTANTIATE_VECTOR_FOR_TYPE(int64_t)
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}; // namespace phi
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