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83 lines
2.8 KiB
83 lines
2.8 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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#pragma once
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#include <functional>
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#include <numeric>
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#include <string>
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#include <unordered_map>
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#include <unordered_set>
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#include "glog/logging.h"
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#include "paddle/fluid/framework/ir/memory_optimize_pass/memory_optimize_helper.h"
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#include "paddle/fluid/framework/op_desc.h"
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#include "paddle/fluid/framework/type_defs.h"
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namespace paddle {
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namespace framework {
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/*
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Inplace Inference for create In->Out pairs for inplaced operator.
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If we specify a pair of corresponding names. For example, X->Out.
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then Out will inplaced use X's memory. The base class will do
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legality validation for both variables.
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*/
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class InplaceOpInference {
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public:
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virtual ~InplaceOpInference() {}
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virtual std::unordered_map<std::string, std::string> operator()(
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const OpDesc& op_desc, bool use_cuda) const = 0;
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};
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/*
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Inplace In and Out for operator only have an Input and an Output.
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For example, activation op.
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*/
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class SingleOpInplaceInToOut : public InplaceOpInference {
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public:
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std::unordered_map<std::string, std::string> operator()(
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const OpDesc& op_desc, bool use_cuda) const override {
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PADDLE_ENFORCE(!op_desc.InputNames().empty(),
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"Op inputs must not be empty");
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PADDLE_ENFORCE(!op_desc.OutputNames().empty(),
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"Op outputs must not be empty");
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auto x_name = op_desc.InputNames().at(0);
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auto out_name = op_desc.OutputNames().at(0);
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return std::unordered_map<std::string, std::string>{{x_name, out_name}};
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}
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};
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/*
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Gradient op. Inplace output use it's Input.
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For example, Input@Grad->Input reuse strategy.
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*/
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class GradOpInplaceInToOut : public InplaceOpInference {
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public:
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std::unordered_map<std::string, std::string> operator()(
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const OpDesc& op_desc, bool use_cuda) const override {
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std::unordered_map<std::string, std::string> ret;
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std::unordered_set<std::string> output_names(op_desc.OutputNames().begin(),
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op_desc.OutputNames().end());
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for (auto& input_name : op_desc.InputNames()) {
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if (output_names.count(GradVarName(input_name))) {
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ret.insert({input_name, GradVarName(input_name)});
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}
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}
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return ret;
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}
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};
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} // namespace framework
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} // namespace paddle
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