/* 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 #ifdef PADDLE_WITH_NGRAPH #include #include #include #include #include #include "paddle/fluid/framework/attribute.h" #include "paddle/fluid/framework/framework.pb.h" #include "paddle/fluid/framework/lod_tensor.h" #include "paddle/fluid/framework/ngraph_bridge.h" #include "paddle/fluid/framework/op_info.h" #include "paddle/fluid/framework/op_kernel_type.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/framework/program_desc.h" #include "paddle/fluid/framework/scope.h" #include "paddle/fluid/framework/tensor.h" #include "paddle/fluid/platform/variant.h" #include "ngraph/ngraph.hpp" namespace paddle { namespace framework { class FusedOperator : public OperatorBase { public: static std::vector< std::vector>::iterator>> FusedOpIntervals( std::vector>* ops); explicit FusedOperator( const ProgramDesc& prog, size_t block_id, std::vector>::iterator start, std::vector>::iterator end, const std::string& type = "fused_op", const VariableNameMap& inputs = {}, const VariableNameMap& outputs = {}, const AttributeMap& attrs = {}); void RunImpl(const Scope& scope, const platform::Place& place) const final; private: const ProgramDesc pdesc_; size_t block_; std::vector> fused_ops_; std::unordered_map var_type_map_; std::unordered_set persistables_; std::unordered_set fetches_; std::unordered_set post_op_inputs_; bool is_full_ = false; void Process(); }; } // namespace framework } // namespace paddle #endif