// Copyright (c) 2023 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.

#include "paddle/phi/kernels/i1_kernel.h"

#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/for_range.h"
#include "paddle/phi/kernels/impl/bessel_kernel_impl.h"

namespace phi {

template <typename T, typename Context>
void I1Kernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out) {
  if (out && out->numel() == 0) {
    dev_ctx.template Alloc<T>(out);
    return;
  }
  const int64_t size = x.numel();
  const T* x_data = x.data<T>();
  T* out_data = dev_ctx.template Alloc<T>(out);

  funcs::ForRange<Context> for_range(dev_ctx, size);
  I1Functor<T> functor(x_data, out_data, size);
  for_range(functor);
}

}  // namespace phi

PD_REGISTER_KERNEL(i1, CPU, ALL_LAYOUT, phi::I1Kernel, float, double) {}