/* Copyright (c) 2016 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 #include #include #include #include #include #include #include "paddle/fluid/platform/variant.h" namespace paddle { namespace framework { class OperatorBase; class OpDesc; class InferShapeContext; class BlockDesc; using VariableNameMap = std::map>; // The order should be as same as framework.proto using Attribute = boost::variant, std::vector, std::vector, bool, std::vector, BlockDesc*, int64_t, std::vector, std::vector>; using AttributeMap = std::unordered_map; using OpCreator = std::function; using GradOpMakerFN = std::function>( const OpDesc&, const std::unordered_set& /*no_grad_set*/, std::unordered_map* /*grad_to_var*/, const std::vector& grad_block)>; using InferVarTypeFN = std::function; using InferShapeFN = std::function; } // namespace framework } // namespace paddle