// Copyright (c) 2022 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 "paddle/fluid/jit/ast.h" #include "paddle/fluid/jit/base_function.h" #include "paddle/fluid/jit/compilation_unit.h" #include "paddle/fluid/jit/exector_function.h" #include "paddle/fluid/jit/object.h" #include "paddle/fluid/jit/pe_function.h" namespace paddle { namespace jit { using Variable = paddle::framework::Variable; using VariableNameMap = std::map; using DenseTensor = phi::DenseTensor; class Layer { public: // TODO(dev): Make vector, num_slot as in argument // Layer(const std::shared_ptr& type) : obj_(type, /*num_slot*/ 0U) // {} // TODO(dev): consider make `func_name, program_desc, param_nams` as a class Layer( const std::vector& func_names, const std::vector& program_descs, const std::vector>& param_names_for_each_program, const VariableNameMap& params_dict, const phi::Place& place); std::shared_ptr GetFunction(const std::string& name) const; std::vector forward(const std::vector& inputs); private: // internal::Object obj_; // std::vector all_program_desc_; // std::vector> param_name_for_each_program_; // std::vector all_param_; std::map> function_dict; }; } // namespace jit } // namespace paddle