// 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 BatchNormKernel(const Context& dev_ctx,
                     const DenseTensor& x,
                     const DenseTensor& scale,
                     const DenseTensor& bias,
                     const DenseTensor& mean,
                     const DenseTensor& variance,
                     float momentum,
                     float epsilon,
                     const std::string& data_layout,
                     bool is_test,
                     bool use_global_stats,
                     bool trainable_statistics,
                     bool fuse_with_relu,
                     DenseTensor* y,
                     DenseTensor* mean_out,
                     DenseTensor* variance_out,
                     DenseTensor* saved_mean,
                     DenseTensor* saved_variance,
                     DenseTensor* reserve_space);

template <typename T, typename Context>
void BatchNormInferKernel(const Context& dev_ctx,
                          const DenseTensor& x,
                          const DenseTensor& scale,
                          const DenseTensor& bias,
                          const DenseTensor& mean,
                          const DenseTensor& variance,
                          float momentum,
                          float epsilon,
                          const std::string& data_layout,
                          DenseTensor* y,
                          DenseTensor* mean_out,
                          DenseTensor* variance_out);

}  // namespace phi