/* 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 #include #include #include namespace paddle_mobile { namespace operators { using framework::AttributeMap; using framework::Scope; using std::string; template class PoolOp : public OperatorWithKernel { public: PoolOp(const string &type, const VariableNameMap &inputs, const VariableNameMap &outputs, const AttributeMap &attrs, std::shared_ptr scope) : OperatorWithKernel(type, inputs, outputs, attrs, scope), param_(inputs, outputs, attrs, *scope) {} using OperatorWithKernel::OperatorWithKernel; void InferShape() const override; void RunImpl() const { operators::PoolKernel kernel; kernel.Compute(param_); this->ClearVariables({"X"}); } private: PoolParam param_; }; } // namespace operators } // namespace paddle_mobile