// 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 void StridedSliceRawGradStridedKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& out_grad, const std::vector& axes, const IntArray& starts, const IntArray& ends, const IntArray& strides, const std::vector& infer_flags, const std::vector& 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( dev_ctx, *x_grad, 0, x_grad); })); DenseTensor tmp; tmp.set_layout(out_grad.layout()); tmp.set_lod(out_grad.lod()); tmp.set_type(out_grad.dtype()); tmp.Resize(out_grad.dims()); StridedSliceRawStridedKernel(dev_ctx, *x_grad, axes, starts, ends, strides, infer_flags, decrease_axis, &tmp); PD_VISIT_ALL_TYPES( out_grad.dtype(), "StridedSliceRawGradStridedKernel", ([&] { phi::StridedCopyKernel( dev_ctx, out_grad, phi::vectorize(tmp.dims()), phi::vectorize(tmp.strides()), tmp.offset(), &tmp); })); } template void StridedSliceGradStridedKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& out_grad, const std::vector& axes, const IntArray& starts, const IntArray& ends, const IntArray& strides, DenseTensor* x_grad) { std::vector infer_flags(axes.size(), 1); std::vector decrease_axis; StridedSliceRawGradStridedKernel(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) {}