strided_slice_grad_kernel.cc

// 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/strided_slice_grad_kernel.h"

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

namespace phi {

template <typename T, typename Context>
void StridedSliceGradKernel(const Context& dev_ctx,
                            const DenseTensor& x,
                            const DenseTensor& out_grad,
                            const std::vector<int>& axes,
                            const IntArray& starts,
                            const IntArray& ends,
                            const IntArray& strides,
                            DenseTensor* x_grad) {
  std::vector<int> infer_flags(axes.size(), 1);
  std::vector<int> decrease_axis;
  StridedSliceRawGradKernel<T, Context>(dev_ctx,
                                        x,
                                        out_grad,
                                        axes,
                                        starts,
                                        ends,
                                        strides,
                                        infer_flags,
                                        decrease_axis,
                                        x_grad);
}

}  // namespace phi

PD_REGISTER_KERNEL(strided_slice_grad,
                   CPU,
                   ALL_LAYOUT,
                   phi::StridedSliceGradKernel,
                   bool,
                   int,
                   int64_t,
                   float,
                   double,
                   phi::dtype::complex<float>,
                   phi::dtype::complex<double>) {}
#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
PD_REGISTER_KERNEL(strided_slice_grad,
                   GPU,
                   ALL_LAYOUT,
                   phi::StridedSliceGradKernel,
                   bool,
                   int,
                   int64_t,
                   float,
                   double,
                   phi::dtype::complex<float>,
                   phi::dtype::complex<double>) {}
#endif