// Copyright (c) 2019 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 "paddle/fluid/lite/core/compatible_tensor.h" #include "paddle/fluid/lite/utils/all.h" /* * This file contains all the argument parameter data structure for operators. */ namespace paddle { namespace lite { namespace operators { using param_t = Any; /// ----------------------- Functional operators ------------------------------ struct FeedParam { const std::vector* feed_list{}; lite::Tensor* out{}; int col; }; struct FetchParam { const lite::Tensor* input{}; std::vector* fetch_list{}; int col; }; // Helper op for lite framework struct IoCopyParam { const lite::Tensor* x{}; lite::Tensor* y{}; }; /// -------------------------- NN operators ------------------------------------ struct FcParam { lite::Tensor* input{}; lite::Tensor* w{}; lite::Tensor* bias{}; lite::Tensor* output{}; lite::DDim in_mat_dims; int in_num_col_dims{1}; }; struct ReluParam { lite::Tensor* input{}; lite::Tensor* output{}; }; // For Mul Op struct MulParam { lite::Tensor* x{}; lite::Tensor* y{}; lite::Tensor* output{}; int x_num_col_dims{1}; int y_num_col_dims{1}; }; // For Scale Op struct ScaleParam { lite::Tensor* x{}; lite::Tensor* output{}; float scale{1.}; float bias{}; bool bias_after_scale{true}; }; /// ----------------------- element wise operators ---------------------- struct ElementwiseParam { const lite::Tensor* X{}; const lite::Tensor* Y{}; lite::Tensor* Out{}; int axis{-1}; // for broadcasting. }; struct ElementwiseGradParam { const lite::Tensor* X_grad{}; const lite::Tensor* Y_grad{}; lite::Tensor* Out_grad{}; int axis{-1}; // for broadcasting. }; /// ----------------------- activation operators ---------------------- struct ActivationParam { const lite::Tensor* X{}; lite::Tensor* Out{}; }; struct ActivationGradParam { const lite::Tensor* X{}; const lite::Tensor* Out{}; // for backward lite::Tensor* X_grad{}; const lite::Tensor* Out_grad{}; }; } // namespace operators } // namespace lite } // namespace paddle