// 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 <string>

#include "paddle/phi/core/dense_tensor.h"

namespace phi {

template <typename T, typename Context>
void SyncBatchNormGradKernel(const Context& dev_ctx,
                             const DenseTensor& x,
                             const DenseTensor& scale,
                             const DenseTensor& bias,
                             const paddle::optional<DenseTensor>& mean,
                             const paddle::optional<DenseTensor>& variance,
                             const DenseTensor& saved_mean,
                             const DenseTensor& saved_variance,
                             const paddle::optional<DenseTensor>& reserve_space,
                             const DenseTensor& y_grad,
                             float momentum,
                             float epsilon,
                             const std::string& data_layout,
                             bool is_test,
                             bool use_global_stats,
                             bool trainable_statistics,
                             bool fuse_with_relu,
                             DenseTensor* x_grad,
                             DenseTensor* scale_grad,
                             DenseTensor* bias_grad);

}  // namespace phi