strided_slice_grad_kernel.cc 4.2 KB
Newer Older
W
wanghuancoder 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
// 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/strided_slice_grad_kernel.h"
#include "paddle/phi/backends/all_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/fill_kernel.h"
#include "paddle/phi/kernels/strided_copy_kernel.h"
#include "paddle/phi/kernels/strided_slice_kernel.h"
namespace phi {

template <typename Context>
void StridedSliceRawGradStridedKernel(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,
                                      const std::vector<int>& infer_flags,
                                      const std::vector<int>& decrease_axis,
                                      DenseTensor* x_grad) {
  dev_ctx.Alloc(x_grad, x_grad->dtype());
  x_grad->set_strides(DenseTensorMeta::calc_strides(x_grad->dims()));
  PD_VISIT_ALL_TYPES(x_grad->dtype(), "StridedSliceRawGradStridedKernel", ([&] {
                       phi::FillKernel<data_t, Context>(
                           dev_ctx, *x_grad, 0, x_grad);
                     }));
  DenseTensor tmp;
41 42 43 44
  tmp.set_layout(out_grad.layout());
  tmp.set_lod(out_grad.lod());
  tmp.set_type(out_grad.dtype());
  tmp.Resize(out_grad.dims());
W
wanghuancoder 已提交
45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94
  StridedSliceRawStridedKernel<Context>(dev_ctx,
                                        *x_grad,
                                        axes,
                                        starts,
                                        ends,
                                        strides,
                                        infer_flags,
                                        decrease_axis,
                                        &tmp);
  PD_VISIT_ALL_TYPES(
      out_grad.dtype(), "StridedSliceRawGradStridedKernel", ([&] {
        phi::StridedCopyKernel<data_t, Context>(
            dev_ctx,
            out_grad,
            phi::vectorize<int64_t>(tmp.dims()),
            phi::vectorize<int64_t>(tmp.strides()),
            tmp.offset(),
            &tmp);
      }));
}

template <typename Context>
void StridedSliceGradStridedKernel(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;
  StridedSliceRawGradStridedKernel<Context>(dev_ctx,
                                            x,
                                            out_grad,
                                            axes,
                                            starts,
                                            ends,
                                            strides,
                                            infer_flags,
                                            decrease_axis,
                                            x_grad);
}

}  // namespace phi
PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE_EXCEPT_CUSTOM(
    strided_slice_raw_grad, STRIDED, phi::StridedSliceRawGradStridedKernel) {}

PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE_EXCEPT_CUSTOM(
    strided_slice_grad, STRIDED, phi::StridedSliceGradStridedKernel) {}