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90 lines
2.7 KiB
90 lines
2.7 KiB
// 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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#include <string>
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#include <vector>
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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::RecordWaitEventOnCtx(platform::DeviceContext *waited_ctx) {
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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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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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WaitInputVarGenerated(platform::CPUPlace());
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tensors_.resize(inputs_.size());
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auto *var_handle = static_cast<VarHandle *>(inputs_[0]);
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auto &var_name = var_handle->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 *var =
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scope->FindVar(kLocalExecScopeName)->Get<Scope *>()->FindVar(var_name);
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PADDLE_ENFORCE_NOT_NULL(var, "Cannot find variable %s in execution scope",
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var_name);
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auto &t = var->Get<framework::LoDTensor>();
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if (platform::is_gpu_place(t.place())) {
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#ifdef PADDLE_WITH_CUDA
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TensorCopySync(t, cpu, &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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this->WaitAndMergeCPUTensors();
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}
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void FetchOpHandle::WaitInputVarGenerated(const platform::Place &place) {
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auto cpu_ctx = platform::DeviceContextPool::Instance().Get(place);
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for (auto *input : inputs_) {
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if (input->generated_op_) {
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input->generated_op_->RecordWaitEventOnCtx(cpu_ctx);
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}
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}
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}
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std::string FetchOpHandle::Name() const { return "Fetch"; }
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} // namespace details
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} // namespace framework
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} // namespace paddle
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