tensor-tang
7 years ago
commit
0693b4148d
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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/graph_builder_factory.h"
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#include <fstream>
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#include "paddle/fluid/framework/details/multi_devices_graph_builder.h"
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#include "paddle/fluid/framework/details/ssa_graph_printer.h"
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namespace paddle {
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namespace framework {
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namespace details {
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std::unique_ptr<SSAGraphBuilder> SSAGraphBuilderFactory::Create() {
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std::unique_ptr<SSAGraphBuilder> res(
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#ifdef PADDLE_WITH_CUDA
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new MultiDevSSAGraphBuilder(places_, loss_var_name_, param_names_,
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local_scopes_, nccl_ctxs_, strategy_)
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#else
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new MultiDevSSAGraphBuilder(places_, loss_var_name_, param_names_,
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local_scopes_, strategy_)
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#endif
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); // NOLINT
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if (!strategy_.debug_graphviz_path_.empty()) {
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std::unique_ptr<std::ostream> fout(
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new std::ofstream(strategy_.debug_graphviz_path_));
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PADDLE_ENFORCE(fout->good());
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std::unique_ptr<GraphvizSSAGraphPrinter> graphviz_printer(
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new GraphvizSSAGraphPrinter());
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res.reset(new SSAGraghBuilderWithPrinter(
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std::move(fout), std::move(graphviz_printer), std::move(res)));
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}
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return res;
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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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// 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 <memory>
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/details/build_strategy.h"
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#include "paddle/fluid/framework/details/ssa_graph_builder.h"
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#include "paddle/fluid/platform/place.h"
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#ifdef PADDLE_WITH_CUDA
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#include "paddle/fluid/platform/nccl_helper.h"
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#endif
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namespace paddle {
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namespace framework {
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class Scope;
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namespace details {
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class SSAGraphBuilderFactory {
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public:
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SSAGraphBuilderFactory(const std::vector<platform::Place>& places,
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const std::string& loss_var_name,
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const std::unordered_set<std::string>& param_names,
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const std::vector<Scope*>& local_scopes,
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const BuildStrategy& strategy)
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: places_(places),
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loss_var_name_(loss_var_name),
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param_names_(param_names),
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local_scopes_(local_scopes),
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strategy_(strategy) {}
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#ifdef PADDLE_WITH_CUDA
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void SetNCCLContextMap(platform::NCCLContextMap* nccl_ctxs) {
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nccl_ctxs_ = nccl_ctxs;
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}
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#endif
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std::unique_ptr<SSAGraphBuilder> Create();
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private:
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std::vector<platform::Place> places_;
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std::string loss_var_name_;
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std::unordered_set<std::string> param_names_;
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std::vector<Scope*> local_scopes_;
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BuildStrategy strategy_;
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#ifdef PADDLE_WITH_CUDA
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platform::NCCLContextMap* nccl_ctxs_;
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#endif
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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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// 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/ssa_graph_printer.h"
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#include <string>
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#include "paddle/fluid/framework/details/ssa_graph.h"
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namespace paddle {
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namespace framework {
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namespace details {
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template <typename Callback>
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static inline void IterAllVar(const SSAGraph &graph, Callback callback) {
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for (auto &each : graph.vars_) {
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for (auto &pair1 : each) {
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for (auto &pair2 : pair1.second) {
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callback(*pair2);
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}
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}
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}
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for (auto &var : graph.dep_vars_) {
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callback(*var);
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}
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}
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void GraphvizSSAGraphPrinter::Print(const SSAGraph &graph,
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std::ostream &sout) const {
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size_t var_id = 0;
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std::unordered_map<const VarHandleBase *, size_t> vars;
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sout << "digraph G {\n";
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IterAllVar(graph, [&](const VarHandleBase &var) {
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auto *var_ptr = &var;
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auto *var_handle_ptr = dynamic_cast<const VarHandle *>(var_ptr);
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auto *dummy_ptr = dynamic_cast<const DummyVarHandle *>(var_ptr);
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size_t cur_var_id = var_id++;
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vars[var_ptr] = cur_var_id;
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if (var_handle_ptr) {
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sout << "var_" << cur_var_id << " [label=\"" << var_handle_ptr->name_
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<< "\\n"
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<< var_handle_ptr->place_ << "\\n"
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<< var_handle_ptr->version_ << "\"]" << std::endl;
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} else if (dummy_ptr) {
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sout << "var_" << cur_var_id << " [label=\"dummy\"]" << std::endl;
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}
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});
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size_t op_id = 0;
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for (auto &op : graph.ops_) {
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std::string op_name = "op_" + std::to_string(op_id++);
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sout << op_name << " [label=\"" << op->Name() << "\", shape=rect]"
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<< std::endl;
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for (auto in : op->Inputs()) {
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std::string var_name = "var_" + std::to_string(vars[in]);
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sout << var_name << " -> " << op_name << std::endl;
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}
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for (auto out : op->Outputs()) {
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std::string var_name = "var_" + std::to_string(vars[out]);
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sout << op_name << " -> " << var_name << std::endl;
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}
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}
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sout << "}\n";
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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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// 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 <iosfwd>
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#include "paddle/fluid/framework/details/ssa_graph_builder.h"
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namespace paddle {
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namespace framework {
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namespace details {
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class SSAGraph;
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class SSAGraphPrinter {
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public:
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virtual ~SSAGraphPrinter() {}
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virtual void Print(const SSAGraph& graph, std::ostream& sout) const = 0;
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};
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class GraphvizSSAGraphPrinter : public SSAGraphPrinter {
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public:
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void Print(const SSAGraph& graph, std::ostream& sout) const override;
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};
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class SSAGraghBuilderWithPrinter : public SSAGraphBuilder {
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public:
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SSAGraghBuilderWithPrinter(std::ostream& sout,
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std::unique_ptr<SSAGraphPrinter>&& printer,
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std::unique_ptr<SSAGraphBuilder>&& builder)
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: printer_(std::move(printer)),
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builder_(std::move(builder)),
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stream_ref_(sout) {}
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SSAGraghBuilderWithPrinter(std::unique_ptr<std::ostream>&& sout,
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std::unique_ptr<SSAGraphPrinter>&& printer,
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std::unique_ptr<SSAGraphBuilder>&& builder)
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: printer_(std::move(printer)),
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builder_(std::move(builder)),
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stream_ptr_(std::move(sout)),
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stream_ref_(*stream_ptr_) {}
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std::unique_ptr<SSAGraph> Build(const ProgramDesc& program) const override {
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auto graph = builder_->Build(program);
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printer_->Print(*graph, stream_ref_);
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return graph;
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}
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private:
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std::unique_ptr<SSAGraphPrinter> printer_;
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std::unique_ptr<SSAGraphBuilder> builder_;
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std::unique_ptr<std::ostream> stream_ptr_;
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std::ostream& stream_ref_;
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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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// 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/reverse_op.h"
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#include <vector>
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namespace paddle {
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namespace operators {
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class ReverseOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null");
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PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) should not be null");
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const auto& x_dims = ctx->GetInputDim("X");
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const auto& axis = ctx->Attrs().Get<std::vector<int>>("axis");
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PADDLE_ENFORCE(!axis.empty(), "'axis' can not be empty.");
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for (int a : axis) {
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PADDLE_ENFORCE_LT(a, x_dims.size(),
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"The axis must be less than input tensor's rank.");
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}
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ctx->SetOutputDim("Out", x_dims);
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}
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};
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class ReverseOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("X", "The LoDTensor to be flipped.");
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AddOutput("Out", "The LoDTensor after flipping.");
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AddAttr<std::vector<int>>(
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"axis", "The axises that along which order of elements is reversed.");
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AddComment(R"DOC(
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Reverse Operator.
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Reverse the order of elements in the input LoDTensor along given axises.
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Case 1:
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Given
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X = [[1, 2, 3, 4, 5]
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[6, 7, 8, 9, 10]
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[11, 12, 13, 14, 15]],
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and
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axis = [0],
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we get:
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Out = [[11, 12, 13, 14, 15]
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[6, 7, 8, 9, 10]
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[1, 2, 3, 4, 5]].
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Case 2:
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Given
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X = [[[1, 2, 3, 4]
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[5, 6, 7, 8]]
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[[9, 10, 11, 12]
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[13, 14, 15, 16]]],
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and
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axis = [0, 2],
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we get:
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Out = [[[12, 11, 10, 9]
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[16, 15, 14, 13]]
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[[4, 3, 2, 1]
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[8, 7, 6, 5]]],
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)DOC");
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}
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};
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class ReverseGradMaker : public framework::SingleGradOpDescMaker {
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public:
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using framework::SingleGradOpDescMaker::SingleGradOpDescMaker;
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std::unique_ptr<framework::OpDesc> Apply() const override {
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auto* grad_op = new framework::OpDesc();
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grad_op->SetType("reverse");
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grad_op->SetInput("X", OutputGrad("Out"));
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grad_op->SetOutput("Out", InputGrad("X"));
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grad_op->SetAttr("axis", GetAttr("axis"));
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return std::unique_ptr<framework::OpDesc>(grad_op);
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(reverse, ops::ReverseOp, ops::ReverseOpMaker,
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ops::ReverseGradMaker);
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REGISTER_OPERATOR(reverse_grad, ops::ReverseOp);
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REGISTER_OP_CPU_KERNEL(
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reverse, ops::ReverseKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ReverseKernel<paddle::platform::CPUDeviceContext, uint8_t>,
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ops::ReverseKernel<paddle::platform::CPUDeviceContext, int64_t>,
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ops::ReverseKernel<paddle::platform::CPUDeviceContext, bool>,
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ops::ReverseKernel<paddle::platform::CPUDeviceContext, float>,
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ops::ReverseKernel<paddle::platform::CPUDeviceContext, double>)
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@ -0,0 +1,24 @@
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// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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||||||
|
//
|
||||||
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||||
|
// you may not use this file except in compliance with the License.
|
||||||
|
// You may obtain a copy of the License at
|
||||||
|
//
|
||||||
|
// http://www.apache.org/licenses/LICENSE-2.0
|
||||||
|
//
|
||||||
|
// Unless required by applicable law or agreed to in writing, software
|
||||||
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||||
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||||
|
// See the License for the specific language governing permissions and
|
||||||
|
// limitations under the License.
|
||||||
|
|
||||||
|
#include "paddle/fluid/operators/reverse_op.h"
|
||||||
|
|
||||||
|
namespace ops = paddle::operators;
|
||||||
|
REGISTER_OP_CUDA_KERNEL(
|
||||||
|
reverse, ops::ReverseKernel<paddle::platform::CUDADeviceContext, int>,
|
||||||
|
ops::ReverseKernel<paddle::platform::CUDADeviceContext, uint8_t>,
|
||||||
|
ops::ReverseKernel<paddle::platform::CUDADeviceContext, int64_t>,
|
||||||
|
ops::ReverseKernel<paddle::platform::CUDADeviceContext, bool>,
|
||||||
|
ops::ReverseKernel<paddle::platform::CUDADeviceContext, float>,
|
||||||
|
ops::ReverseKernel<paddle::platform::CUDADeviceContext, double>)
|
||||||
@ -0,0 +1,87 @@
|
|||||||
|
// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
|
||||||
|
//
|
||||||
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
||||||
|
// you may not use this file except in compliance with the License.
|
||||||
|
// You may obtain a copy of the License at
|
||||||
|
//
|
||||||
|
// http://www.apache.org/licenses/LICENSE-2.0
|
||||||
|
//
|
||||||
|
// Unless required by applicable law or agreed to in writing, software
|
||||||
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
||||||
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||||
|
// See the License for the specific language governing permissions and
|
||||||
|
// limitations under the License.
|
||||||
|
|
||||||
|
#pragma once
|
||||||
|
#include <vector>
|
||||||
|
#include "paddle/fluid/framework/eigen.h"
|
||||||
|
#include "paddle/fluid/framework/op_registry.h"
|
||||||
|
|
||||||
|
namespace paddle {
|
||||||
|
namespace operators {
|
||||||
|
template <typename DeviceContext, typename T, int Rank>
|
||||||
|
struct ReverseFunctor {
|
||||||
|
void operator()(const DeviceContext& context, const framework::LoDTensor& in,
|
||||||
|
framework::LoDTensor* out, const std::vector<int>& axis) {
|
||||||
|
Eigen::array<bool, Rank> reverse_axis;
|
||||||
|
for (int i = 0; i < Rank; ++i) {
|
||||||
|
reverse_axis[i] = false;
|
||||||
|
}
|
||||||
|
for (int a : axis) {
|
||||||
|
reverse_axis[a] = true;
|
||||||
|
}
|
||||||
|
|
||||||
|
auto in_eigen = framework::EigenTensor<T, Rank>::From(in);
|
||||||
|
auto out_eigen = framework::EigenTensor<T, Rank>::From(*out);
|
||||||
|
auto* dev = context.eigen_device();
|
||||||
|
|
||||||
|
out_eigen.device(*dev) = in_eigen.reverse(reverse_axis);
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
template <typename DeviceContext, typename T>
|
||||||
|
class ReverseKernel : public framework::OpKernel<T> {
|
||||||
|
public:
|
||||||
|
void Compute(const framework::ExecutionContext& context) const override {
|
||||||
|
auto* x = context.Input<framework::LoDTensor>("X");
|
||||||
|
auto* out = context.Output<framework::LoDTensor>("Out");
|
||||||
|
out->mutable_data<T>(context.GetPlace());
|
||||||
|
const auto& axis = context.Attr<std::vector<int>>("axis");
|
||||||
|
int rank = x->dims().size();
|
||||||
|
auto& dev_ctx = context.template device_context<DeviceContext>();
|
||||||
|
|
||||||
|
switch (rank) {
|
||||||
|
case 1:
|
||||||
|
ReverseFunctor<DeviceContext, T, 1> functor1;
|
||||||
|
functor1(dev_ctx, *x, out, axis);
|
||||||
|
break;
|
||||||
|
case 2:
|
||||||
|
ReverseFunctor<DeviceContext, T, 2> functor2;
|
||||||
|
functor2(dev_ctx, *x, out, axis);
|
||||||
|
break;
|
||||||
|
case 3:
|
||||||
|
ReverseFunctor<DeviceContext, T, 3> functor3;
|
||||||
|
functor3(dev_ctx, *x, out, axis);
|
||||||
|
break;
|
||||||
|
case 4:
|
||||||
|
ReverseFunctor<DeviceContext, T, 4> functor4;
|
||||||
|
functor4(dev_ctx, *x, out, axis);
|
||||||
|
break;
|
||||||
|
case 5:
|
||||||
|
ReverseFunctor<DeviceContext, T, 5> functor5;
|
||||||
|
functor5(dev_ctx, *x, out, axis);
|
||||||
|
break;
|
||||||
|
case 6:
|
||||||
|
ReverseFunctor<DeviceContext, T, 6> functor6;
|
||||||
|
functor6(dev_ctx, *x, out, axis);
|
||||||
|
break;
|
||||||
|
default:
|
||||||
|
PADDLE_THROW(
|
||||||
|
"Reserve operator doesn't supports tensors whose ranks are greater "
|
||||||
|
"than 6.");
|
||||||
|
}
|
||||||
|
}
|
||||||
|
};
|
||||||
|
|
||||||
|
} // namespace operators
|
||||||
|
} // namespace paddle
|
||||||
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Reference in new issue