// 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/index_select_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/index_select_kernel.h" #include "paddle/phi/kernels/strided_copy_kernel.h" namespace phi { template void IndexSelectGradStridedKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& out_grad, int64_t index, int dim, 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(), "IndexSelectGradStridedKernel", ([&] { phi::FillKernel( dev_ctx, *x_grad, 0, x_grad); })); DenseTensor tmp; IndexSelectStridedKernel(dev_ctx, *x_grad, index, dim, &tmp); PD_VISIT_ALL_TYPES(out_grad.dtype(), "IndexSelectGradStridedKernel", ([&] { phi::StridedCopyKernel( dev_ctx, out_grad, phi::vectorize(tmp.dims()), phi::vectorize(tmp.strides()), tmp.offset(), &tmp); })); } } // namespace phi PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE_EXCEPT_CUSTOM( index_select_grad_strided, STRIDED, phi::IndexSelectGradStridedKernel) {}