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Paddle/paddle/fluid/framework/inplace_op_inference.h

68 lines
2.6 KiB

// 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 <string>
#include <unordered_map>
#include "paddle/fluid/framework/op_desc.h"
#include "paddle/fluid/framework/type_defs.h"
namespace paddle {
namespace framework {
/*
Inplace Inference for create In->Out pairs for inplaced operator.
If we specify a pair of corresponding names. For example, X->Out.
then Out will inplaced use X's memory. The base class will do
legality validation for both variables.
*/
class InplaceOpInference {
public:
virtual ~InplaceOpInference() {}
virtual std::unordered_map<std::string, std::string> operator()(
const OpDesc& op_desc, bool use_cuda) const = 0;
};
/*
Inplace In and Out for operator only have an Input and an Output.
For example, activation op.
*/
class SingleOpInplaceInToOut : public InplaceOpInference {
public:
std::unordered_map<std::string, std::string> operator()(
const OpDesc& op_desc, bool use_cuda) const override {
PADDLE_ENFORCE_EQ(op_desc.InputNames().size(), 1,
"Op inputs must be unique");
PADDLE_ENFORCE_EQ(op_desc.OutputNames().size(), 1,
"Op outputs must be unique");
auto x_name = op_desc.InputNames().at(0);
auto out_name = op_desc.OutputNames().at(0);
return std::unordered_map<std::string, std::string>{{x_name, out_name}};
}
};
#define DECLARE_INPLACE_OP_INFERER(class_name, ...) \
class class_name final : public ::paddle::framework::InplaceOpInference { \
public: \
std::unordered_map<std::string, std::string> operator()( \
const ::paddle::framework::OpDesc& op_desc, \
bool use_cuda) const final { \
return {__VA_ARGS__}; \
} \
}
} // namespace framework
} // namespace paddle