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| /* Copyright (c) 2016 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. */ | ||
|
|
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| #include "paddle/fluid/framework/mixed_vector.h" | ||
|
|
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| #include <algorithm> | ||
| #include <initializer_list> | ||
| #include <memory> | ||
| #include <mutex> // NOLINT | ||
| #include <utility> | ||
| #include <vector> | ||
|
|
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| #include "glog/logging.h" | ||
| #include "paddle/fluid/framework/details/cow_ptr.h" | ||
| #include "paddle/fluid/memory/malloc.h" | ||
| #include "paddle/fluid/memory/memcpy.h" | ||
| #include "paddle/fluid/platform/device_context.h" | ||
| #include "paddle/utils/none.h" | ||
| #include "paddle/utils/optional.h" | ||
|
|
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| namespace paddle { | ||
| namespace framework { | ||
|
|
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| template <typename T> | ||
| void CopyToCPUHelper(std::vector<T> *cpu_, paddle::memory::AllocationPtr *gpu_, | ||
| size_t *gpu_memory_size_) { | ||
| #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) | ||
| // COPY GPU Data To CPU | ||
| auto *dev_ctx = static_cast<platform::CUDADeviceContext *>( | ||
| platform::DeviceContextPool::Instance().Get((*gpu_)->place())); | ||
| auto stream = dev_ctx->stream(); | ||
| void *src = (*gpu_)->ptr(); | ||
| void *dst = cpu_->data(); | ||
| paddle::memory::Copy(platform::CPUPlace(), dst, | ||
| OptionalCUDAPlace(*gpu_).get(), src, *gpu_memory_size_, | ||
| stream); | ||
| dev_ctx->Wait(); | ||
| #endif | ||
| } | ||
|
|
||
| template <typename T> | ||
| void CopyCPUDataToCUDAHelper(std::vector<T> *cpu_, | ||
| paddle::memory::AllocationPtr *gpu_, | ||
| size_t *gpu_memory_size_, | ||
| const platform::Place &place) { | ||
| #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) | ||
| void *src = cpu_->data(); | ||
| *gpu_memory_size_ = cpu_->size() * sizeof(T); // sizeof(T) | ||
| (*gpu_) = memory::Alloc(place, *gpu_memory_size_); | ||
| void *dst = (*gpu_)->ptr(); | ||
| auto *dev_ctx = static_cast<platform::CUDADeviceContext *>( | ||
| platform::DeviceContextPool::Instance().Get(place)); | ||
| auto stream = dev_ctx->stream(); | ||
| paddle::memory::Copy(OptionalCUDAPlace(*gpu_).get(), dst, | ||
| platform::CPUPlace(), src, *gpu_memory_size_, stream); | ||
| #endif | ||
| } | ||
|
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| #define INSTANTIATE_VECTOR_FOR_TYPE(__TYPE__) \ | ||
| template <> \ | ||
| void Vector<__TYPE__>::VectorData::CopyToCPU() const { \ | ||
| CopyToCPUHelper<__TYPE__>(&cpu_, &gpu_, &gpu_memory_size_); \ | ||
| } \ | ||
| \ | ||
| template <> \ | ||
| void Vector<__TYPE__>::VectorData::CopyCPUDataToCUDA( \ | ||
| const platform::Place &place) const { \ | ||
| CopyCPUDataToCUDAHelper<__TYPE__>(&cpu_, &gpu_, &gpu_memory_size_, place); \ | ||
| } | ||
|
|
||
| INSTANTIATE_VECTOR_FOR_TYPE(size_t) | ||
| INSTANTIATE_VECTOR_FOR_TYPE(int) | ||
| INSTANTIATE_VECTOR_FOR_TYPE(int64_t) | ||
|
|
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| }; // namespace framework | ||
| } // namespace paddle |
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