// 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.

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

#include "paddle/phi/backends/xpu/enforce_xpu.h"
#include "paddle/phi/core/kernel_registry.h"

namespace phi {

template <typename T, typename Context>
void WhereKernel(const Context& ctx,
                 const DenseTensor& condition,
                 const DenseTensor& x,
                 const DenseTensor& y,
                 DenseTensor* out) {
  const bool* cond_data = condition.data<bool>();
  const T* x_data = x.data<T>();
  const T* y_data = y.data<T>();
  T* out_data = ctx.template Alloc<T>(out);

  auto cond_dims = phi::vectorize<int>(condition.dims());
  auto input_dims = phi::vectorize<int>(x.dims());

  int ret = xpu::select(ctx.x_context(),
                        cond_data,
                        x_data,
                        y_data,
                        out_data,
                        cond_dims,
                        input_dims);
  PADDLE_ENFORCE_XDNN_SUCCESS(ret, "select");
}

}  // namespace phi

PD_REGISTER_KERNEL(
    where, XPU, ALL_LAYOUT, phi::WhereKernel, float, int, int64_t) {}
