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131 lines
4.5 KiB
131 lines
4.5 KiB
/* 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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#pragma once
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#include "paddle/fluid/framework/data_type.h"
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#include "paddle/fluid/framework/eigen.h"
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#include "paddle/fluid/framework/framework.pb.h"
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#include "paddle/fluid/framework/tensor.h"
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#include "paddle/fluid/platform/device_context.h"
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namespace paddle {
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namespace framework {
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void TensorCopy(const Tensor& src, const platform::Place& dst_place,
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const platform::DeviceContext& ctx, Tensor* dst);
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void TensorCopy(const Tensor& src, const platform::Place& dst_place,
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Tensor* dst);
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template <typename T>
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void TensorFromVector(const std::vector<T>& src,
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const platform::DeviceContext& ctx, Tensor* dst);
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template <typename T>
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void TensorFromVector(const std::vector<T>& src, Tensor* dst);
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template <typename T>
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void TensorToVector(const Tensor& src, const platform::DeviceContext& ctx,
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std::vector<T>* dst);
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template <typename T>
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void TesnorToVector(const Tensor& src, std::vector<T>* dst);
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bool TensorContainsNAN(const framework::Tensor& tensor);
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bool TensorContainsInf(const framework::Tensor& tensor);
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void TensorToStream(std::ostream& os, const Tensor& tensor,
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const platform::DeviceContext& dev_ctx);
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void TensorFromStream(std::istream& is, Tensor* tensor,
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const platform::DeviceContext& dev_ctx);
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//
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// The implementation of template functions.
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//
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template <typename T>
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void TensorFromVector(const std::vector<T>& src,
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const platform::DeviceContext& ctx, Tensor* dst) {
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auto dst_place = ctx.GetPlace();
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auto src_ptr = static_cast<const void*>(src.data());
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platform::CPUPlace src_place;
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dst->Resize({static_cast<int64_t>(src.size())});
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auto dst_ptr = static_cast<void*>(dst->mutable_data<T>(dst_place));
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auto size = src.size() * sizeof(T);
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if (platform::is_cpu_place(dst_place)) {
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memory::Copy(boost::get<platform::CPUPlace>(dst_place), dst_ptr, src_place,
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src_ptr, size);
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}
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#ifdef PADDLE_WITH_CUDA
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else if (platform::is_gpu_place(dst_place)) { // NOLINT
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memory::Copy(
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boost::get<platform::CUDAPlace>(dst_place), dst_ptr, src_place, src_ptr,
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size,
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reinterpret_cast<const platform::CUDADeviceContext&>(ctx).stream());
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}
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#endif
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}
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template <typename T>
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void TensorFromVector(const std::vector<T>& src, Tensor* dst) {
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platform::CPUPlace dst_place = platform::CPUPlace();
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auto src_ptr = static_cast<const void*>(src.data());
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platform::CPUPlace src_place;
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dst->Resize({static_cast<int64_t>(src.size())});
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auto dst_ptr = static_cast<void*>(dst->mutable_data<T>(dst_place));
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auto size = src.size() * sizeof(T);
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memory::Copy(dst_place, dst_ptr, src_place, src_ptr, size);
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}
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template <typename T>
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void TensorToVector(const Tensor& src, const platform::DeviceContext& ctx,
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std::vector<T>* dst) {
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auto src_ptr = static_cast<const void*>(src.data<T>());
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auto size = src.numel() * sizeof(T);
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platform::CPUPlace dst_place;
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dst->resize(src.numel());
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auto dst_ptr = static_cast<void*>(dst->data());
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if (platform::is_cpu_place(src.place())) {
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memory::Copy(dst_place, dst_ptr,
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boost::get<platform::CPUPlace>(src.place()), src_ptr, size);
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}
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#ifdef PADDLE_WITH_CUDA
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else if (platform::is_gpu_place(src.place())) { // NOLINT
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memory::Copy(
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dst_place, dst_ptr, boost::get<platform::CUDAPlace>(src.place()),
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src_ptr, size,
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reinterpret_cast<const platform::CUDADeviceContext&>(ctx).stream());
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}
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#endif
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}
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template <typename T>
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void TensorToVector(const Tensor& src, std::vector<T>* dst) {
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auto src_ptr = static_cast<const void*>(src.data<T>());
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auto size = src.numel() * sizeof(T);
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platform::CPUPlace dst_place;
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dst->resize(src.numel());
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auto dst_ptr = static_cast<void*>(dst->data());
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PADDLE_ENFORCE(platform::is_cpu_place(src.place()));
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memory::Copy(dst_place, dst_ptr, boost::get<platform::CPUPlace>(src.place()),
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src_ptr, size);
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}
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} // namespace framework
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} // namespace paddle
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