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75 lines
2.8 KiB
75 lines
2.8 KiB
// Copyright (c) 2019 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/fuse_sgd_op_pass.h"
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#include <algorithm>
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#include "paddle/fluid/framework/ir/graph_helper.h"
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace framework {
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namespace details {
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const std::string FuseSgdOpPass::GetOpType() const { return "sgd"; }
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const std::vector<std::string> FuseSgdOpPass::GetAuxiliaryVarNames() const {
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return {"Param"};
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}
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void FuseSgdOpPass::FuseOptimizerOps(
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const std::unordered_map<std::string, std::vector<std::string>>
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&aux_var_set,
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const std::unordered_map<std::string, std::string> &fused_vars_name,
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const std::vector<ir::Node *> &sgd_ops, ir::Graph *graph) const {
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FuseSgdOps(aux_var_set, fused_vars_name, sgd_ops, graph);
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}
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void FuseSgdOpPass::FuseSgdOps(
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const std::unordered_map<std::string, std::vector<std::string>> &vars_set,
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const std::unordered_map<std::string, std::string> &fused_vars_name,
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const std::vector<ir::Node *> &sgd_ops, ir::Graph *graph) const {
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PADDLE_ENFORCE_GT(sgd_ops.size(), static_cast<size_t>(0));
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// NOTE: fused_var is only exist in scope, so the graph doesn't have fused_var
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// node.
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int op_role = boost::get<int>(
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sgd_ops[0]->Op()->GetAttr(OpProtoAndCheckerMaker::OpRoleAttrName()));
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VLOG(10) << "Insert sgd to graph ";
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// Add fused scale
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OpDesc Sgd_desc(sgd_ops[0]->Op()->Block());
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Sgd_desc.SetType("sgd");
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Sgd_desc.SetInput("Param", {fused_vars_name.at("Param")});
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Sgd_desc.SetInput("Grad", {fused_vars_name.at("Grad")});
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Sgd_desc.SetOutput("ParamOut", {fused_vars_name.at("Param")});
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// TODO(zcd): The LearningRate, Beta1Pow, Beta2Pow should be equal.
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Sgd_desc.SetInput("LearningRate", sgd_ops[0]->Op()->Input("LearningRate"));
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// NOTE: multi_devices_pass requires that every op should have a role.
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Sgd_desc.SetAttr(OpProtoAndCheckerMaker::OpRoleAttrName(), op_role);
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auto sgd_node = graph->CreateOpNode(&Sgd_desc);
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InserInputAndOutputForOptOps(sgd_ops, sgd_node);
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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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REGISTER_PASS(fuse_sgd_op_pass, paddle::framework::details::FuseSgdOpPass)
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.RequirePassAttr(paddle::framework::details::kPlaces)
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.RequirePassAttr(paddle::framework::details::kLocalScopes);
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