/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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 "glog/logging.h" #include "paddle/framework/ddim.h" #include "paddle/framework/eigen.h" #include "paddle/framework/operator.h" #include "paddle/framework/tensor.h" #include "paddle/operators/net_op.h" namespace paddle { namespace operators { class CondOp : public framework::OperatorBase { public: CondOp(const std::string& type, const framework::VariableNameMap& inputs, const framework::VariableNameMap& outputs, const framework::AttributeMap& attrs) : OperatorBase(type, inputs, outputs, attrs) { index_.resize(2); sub_net_op_.resize(2); } CondOp(const CondOp& o) : framework::OperatorBase( static_cast(o)) { // TODO(yuyang18): Implement copy ctor well. PADDLE_THROW("Not implemented"); } void CreateScope(const framework::Scope& scope) const; void CreateIndexTensor(const framework::Scope& scope) const; /** * InferShape must be called before Run. */ void InferShape(const framework::Scope& scope) const override; // Set True Block void set_truenet(std::unique_ptr net) { sub_net_op_[0] = std::move(net); } // Set False Block void set_falsenet(std::unique_ptr net) { sub_net_op_[1] = std::move(net); } void Run(const framework::Scope& scope, const platform::DeviceContext& dev_ctx) const override; private: // sub_net_op_[0]: subnet_t // sub_net_op_[1]: subnet_f std::vector> sub_net_op_; // index_[0]: True_index; // index_[1]: False_index; mutable std::vector> index_; }; } // namespace operators } // namespace paddle