// 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"
#include "paddle/phi/kernels/funcs/eigen/common.h"
#include "paddle/phi/kernels/impl/renorm_impl.h"
#include "paddle/phi/kernels/renorm_kernel.h"

namespace phi {

template <typename T, typename Context>
void RenormKernel(const Context& dev_ctx,
                  const DenseTensor& x,
                  float p,
                  int axis,
                  float max_norm,
                  DenseTensor* out) {
  out->Resize(x.dims());
  dev_ctx.template Alloc<T>(out);
  if (out && out->numel() == 0) {
    return;
  }
  auto x_ptr = x.template data<T>();
  auto numel = x.numel();
  int dim = axis;
  auto input_dims = x.dims();
  auto dimension_each = input_dims[dim];

  funcs::RenormFunc(dev_ctx,
                    x_ptr,
                    out->data<T>(),
                    p,
                    axis,
                    max_norm,
                    dimension_each,
                    input_dims,
                    numel);
}
}  // namespace phi