Yu Yang
7 years ago
parent
5368e50d84
commit
15f5f10ed5
@ -1,3 +1,4 @@
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cc_library(var_handle SRCS var_handle.cc DEPS place)
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cc_library(op_handle_base SRCS op_handle_base.cc DEPS var_handle device_context)
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cc_library(scale_loss_grad_op_handle SRCS scale_loss_grad_op_handle.cc DEPS op_handle_base scope lod_tensor ddim memory)
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cc_library(fetch_op_handle SRCS fetch_op_handle.cc DEPS op_handle_base scope lod_tensor ddim memory)
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@ -0,0 +1,77 @@
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/fluid/framework/details/fetch_op_handle.h"
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namespace paddle {
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namespace framework {
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namespace details {
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FetchOpHandle::FetchOpHandle(FeedFetchList *data, size_t offset,
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std::vector<Scope *> *local_scopes)
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: data_(data), offset_(offset), local_scopes_(local_scopes) {}
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FetchOpHandle::~FetchOpHandle() {
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for (auto *input_var : inputs_) {
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input_var->pending_ops_.erase(this);
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}
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}
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void FetchOpHandle::Wait(platform::DeviceContext *waited_dev) {
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PADDLE_THROW("Nobody should wait FetchOp. Unexpceted Error");
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}
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void FetchOpHandle::WaitAndMergeCPUTensors() const {
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// Wait fetch stream done.
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for (auto &ctx : dev_ctx_) {
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ctx.second->Wait();
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}
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std::vector<const LoDTensor *> tensors_ptr;
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tensors_ptr.reserve(tensors_.size());
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for (auto &t : tensors_) {
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tensors_ptr.emplace_back(&t);
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}
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data_->at(offset_).MergeLoDTensor(tensors_ptr, platform::CPUPlace());
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}
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void FetchOpHandle::RunImpl() {
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for (auto *input : inputs_) {
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auto *var = static_cast<VarHandle *>(input);
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var->generated_op_->Wait(this->dev_ctx_[var->place_]);
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}
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tensors_.resize(inputs_.size());
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auto *var = static_cast<VarHandle *>(inputs_[0]);
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auto &var_name = var->name_;
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platform::CPUPlace cpu;
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auto &scopes = *local_scopes_;
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for (size_t i = 0; i < scopes.size(); ++i) {
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auto &scope = scopes[i];
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auto &t = scope->FindVar(var_name)->Get<framework::LoDTensor>();
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if (platform::is_gpu_place(var->place_)) {
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#ifdef PADDLE_WITH_CUDA
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TensorCopy(t, cpu, *dev_ctx_[t.place()], &tensors_[i]);
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#endif
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} else {
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tensors_[i].ShareDataWith(t);
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tensors_[i].set_lod(t.lod());
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}
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}
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}
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} // namespace details
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} // namespace framework
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} // namespace paddle
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@ -0,0 +1,47 @@
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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/details/op_handle_base.h"
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#include "paddle/fluid/framework/feed_fetch_type.h"
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#include "paddle/fluid/framework/scope.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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namespace details {
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struct FetchOpHandle : public OpHandleBase {
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FeedFetchList *data_;
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size_t offset_;
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std::vector<Scope *> *local_scopes_;
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std::vector<LoDTensor> tensors_;
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FetchOpHandle(FeedFetchList *data, size_t offset,
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std::vector<Scope *> *local_scopes);
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~FetchOpHandle();
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void Wait(platform::DeviceContext *waited_dev) override;
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void WaitAndMergeCPUTensors() const;
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protected:
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void RunImpl() override;
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};
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} // namespace details
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} // namespace framework
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} // namespace paddle
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