// 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 "paddle/phi/core/dense_tensor.h" namespace phi { template void InstanceNormGradKernel(const Context& dev_ctx, const DenseTensor& x, const paddle::optional& scale, const DenseTensor& saved_mean, const DenseTensor& saved_variance, const DenseTensor& y_grad, float epsilon, DenseTensor* x_grad, DenseTensor* scale_grad, DenseTensor* bias_grad); template void InstanceNormDoubleGradKernel(const Context& dev_ctx, const DenseTensor& x, const paddle::optional& scale, const DenseTensor& saved_mean, const DenseTensor& saved_variance, const DenseTensor& dy, const paddle::optional& ddx, const paddle::optional& ddscale, const paddle::optional& ddbias, float epsilon, DenseTensor* dx, DenseTensor* dscale, DenseTensor* ddy); } // namespace phi