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2026-07-13 12:40:42 +08:00

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// 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 <typename T, typename Context>
void InstanceNormGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const optional<DenseTensor>& scale,
const optional<DenseTensor>& bias UNUSED,
const DenseTensor& saved_mean,
const DenseTensor& saved_variance,
const DenseTensor& y_grad,
float epsilon,
DenseTensor* x_grad,
DenseTensor* scale_grad,
DenseTensor* bias_grad);
template <typename T, typename Context>
void InstanceNormDoubleGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const optional<DenseTensor>& scale,
const DenseTensor& saved_mean,
const DenseTensor& saved_variance,
const DenseTensor& dy,
const optional<DenseTensor>& ddx,
const optional<DenseTensor>& ddscale,
const optional<DenseTensor>& ddbias,
float epsilon,
DenseTensor* dx,
DenseTensor* dscale,
DenseTensor* ddy);
} // namespace phi