/* 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 "paddle/phi/core/meta_tensor.h" #include "paddle/phi/infermeta/unary.h" namespace phi { void BilinearTensorProductGradInferMeta(const MetaTensor& x, const MetaTensor& y, const MetaTensor& weight, const MetaTensor& dout, MetaTensor* dx, MetaTensor* dy, MetaTensor* dweight, MetaTensor* dbias); void GeneralBinaryGradInferMeta(const MetaTensor& x, const MetaTensor& y, MetaTensor* dx, MetaTensor* dy); void GeneralTernaryGradInferMeta(const MetaTensor& x, const MetaTensor& y, const MetaTensor& z, MetaTensor* dx, MetaTensor* dy, MetaTensor* dz); void GumbelSoftmaxGradInferMeta(const MetaTensor& out, const MetaTensor& dout, int axis, MetaTensor* dx); void ScatterGradInferMeta(const MetaTensor& index, const MetaTensor& updates, const MetaTensor& out_grad, bool overwrite, MetaTensor* x_grad, MetaTensor* updates_grad); void ScatterNdAddGradInferMeta(const MetaTensor& index, const MetaTensor& updates, const MetaTensor& out_grad, MetaTensor* x_grad, MetaTensor* updates_grad); } // namespace phi