commit
ac8c8bd5fb
@ -0,0 +1,15 @@
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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#include "paddle/framework/enforce.h"
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@ -1,20 +1,59 @@
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/*
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Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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*/
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#include "paddle/framework/net.h"
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namespace paddle {
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namespace framework {
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PlainNet::PlainNet(const NetDesc& def) {}
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void PlainNet::InferShape(const ScopePtr& scope) const {
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void PlainNet::CompleteAddOp() {
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std::unordered_set<std::string> input_set;
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std::unordered_set<std::string> output_set;
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std::unordered_set<std::string> temp_output;
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for (auto& op : ops_) {
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op.InferShape();
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for (auto& ipt : op->inputs_) {
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if (!Contains(output_set, ipt)) { // Not other op's output
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input_set.insert(ipt);
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} else {
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temp_output.insert(ipt);
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}
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}
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for (auto& opt : op->outputs_) {
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output_set.insert(opt);
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}
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}
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}
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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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void PlainNet::Run(const ScopePtr& scope, const DeviceContext& ctx) const {
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for (auto& op : ops_) {
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op.Run(ctx);
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outputs_.reserve(output_set.size());
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std::vector<int> tmp_index;
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tmp_index.reserve(temp_output.size());
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int idx = 0;
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for (auto& opt : output_set) {
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if (Contains(temp_output, opt)) {
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tmp_index.push_back(idx);
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}
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outputs_.push_back(opt);
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++idx;
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}
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attrs_["temporary_index"] = tmp_index;
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add_op_done_ = true;
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}
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} // namespace framework
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} // namespace paddle
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