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104 lines
3.2 KiB
104 lines
3.2 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/operators/net_op.h"
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#include <set>
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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const char NetOp::kAll[] = "all";
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void NetOp::CompleteAddOp(bool calc) {
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add_op_done_ = true;
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if (!calc) return;
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std::set<std::string> input_set;
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std::set<std::string> output_set;
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for (auto& op : ops_) {
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for (auto& ipt : op->Inputs()) {
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for (auto& var_name : ipt.second) {
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// If input variable has been in output set, then it will be
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// added into intermediate_outputs_. Otherwise, it will be
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// added into input set.
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if (Contains(output_set, var_name)) {
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intermediate_outputs_.insert(var_name);
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} else {
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input_set.insert(var_name);
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}
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}
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}
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for (auto& opt : op->Outputs()) {
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for (auto& var_name : opt.second) {
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output_set.insert(var_name);
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}
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}
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}
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auto& inputs = inputs_[kAll];
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inputs.reserve(input_set.size());
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std::copy(input_set.begin(), input_set.end(), std::back_inserter(inputs));
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auto& outputs = outputs_[kAll];
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outputs.reserve(output_set.size());
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std::copy(output_set.begin(), output_set.end(), std::back_inserter(outputs));
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}
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std::string NetOp::DebugStringEx(const framework::Scope* scope) const {
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std::ostringstream os;
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os << OperatorBase::DebugStringEx(scope) << std::endl;
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for (auto& op : ops_) {
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std::istringstream is(op->DebugStringEx(scope));
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for (std::string line; std::getline(is, line);) {
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os << " " << line << std::endl;
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}
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}
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return os.str();
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}
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bool NetOp::IsNetOp() const { return true; }
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std::vector<std::string> NetOp::OutputVars(bool has_intermediate) const {
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std::vector<std::string> all;
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for (auto& pair : this->outputs_) {
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for (auto& var_name : pair.second) {
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all.push_back(var_name);
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}
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}
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if (has_intermediate) {
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return all;
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}
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std::vector<std::string> ret_val;
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for (auto& each : all) {
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if (!Contains(intermediate_outputs_, each)) {
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ret_val.push_back(each);
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}
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}
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return ret_val;
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}
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NetOp::NetOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: framework::OperatorBase(type, inputs, outputs, attrs) {}
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std::unique_ptr<framework::OperatorBase> NetOp::Clone() const {
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PADDLE_ENFORCE(
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add_op_done_,
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"Must clone a sealed NetOp, invoke Net::CompleteAddOp before clone");
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return std::unique_ptr<OperatorBase>(new NetOp(*this));
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}
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} // namespace operators
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} // namespace paddle
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