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95 lines
2.9 KiB
95 lines
2.9 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 <vector>
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#include "glog/logging.h"
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#include "paddle/framework/ddim.h"
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#include "paddle/framework/eigen.h"
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#include "paddle/framework/operator.h"
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#include "paddle/framework/tensor.h"
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#include "paddle/operators/net_op.h"
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namespace paddle {
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namespace operators {
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/*
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* @brief CondOp is a dynamic if-else Operator
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*
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* It has a input tensor named cond indicating which netop each instance will
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* run.
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*
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* if cond == 1, it will run true_net, which is a NetOp.
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*
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* if cond == 0, it will run false_net, which is another NetOp.
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*/
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class CondOp : public framework::OperatorBase {
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public:
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CondOp(const std::string& type, const framework::VariableNameMap& inputs,
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const framework::VariableNameMap& outputs,
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const framework::AttributeMap& attrs)
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: OperatorBase(type, inputs, outputs, attrs) {
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sub_net_op_.resize(BRANCH_NUM);
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}
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CondOp(const CondOp& o)
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: framework::OperatorBase(
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static_cast<const framework::OperatorBase&>(o)) {
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// TODO(yuyang18): Implement copy ctor well.
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PADDLE_THROW("Not implemented");
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}
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framework::Scope& AddSubScope(const framework::Scope& scope) const;
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std::vector<framework::Scope*>& GetSubScopes(
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const framework::Scope& scope) const;
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framework::LoDTensor& AddIndexTensor(const framework::Scope& scope) const;
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std::vector<framework::LoDTensor>& GetIndexTensors(
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const framework::Scope& scope) const;
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void PrepareDataForSubnet(const framework::Scope& scope,
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const platform::DeviceContext& dev_ctx) const;
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void MergeDataFromSubnet(const framework::Scope& scope,
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const platform::DeviceContext& dev_ctx) const;
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/*
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* Set True Block
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*/
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void set_truenet(std::unique_ptr<OperatorBase>&& net) {
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sub_net_op_[TRUE_BRANCH] = std::move(net);
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}
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/*
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* Set False Block
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*/
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void set_falsenet(std::unique_ptr<OperatorBase>&& net) {
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sub_net_op_[FALSE_BRANCH] = std::move(net);
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}
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void Run(const framework::Scope& scope,
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const platform::DeviceContext& dev_ctx) const override;
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private:
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const int TRUE_BRANCH = 0;
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const int FALSE_BRANCH = 1;
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const int BRANCH_NUM = 2;
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// sub_net_op_[0]: subnet_t
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// sub_net_op_[1]: subnet_f
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std::vector<std::unique_ptr<framework::OperatorBase>> sub_net_op_;
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};
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} // namespace operators
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} // namespace paddle
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