// Copyright (c) 2021 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/flatten_grad_kernel.h" #include "paddle/phi/backends/all_context.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/copy_kernel.h" namespace phi { template void FlattenGradKernel(const Context& dev_ctx, const DenseTensor& out_grad, const DenseTensor& xshape, DenseTensor* x_grad) { auto xshape_dims = xshape.dims(); auto x_dims = phi::slice_ddim(xshape_dims, 1, xshape_dims.size()); phi::Copy(dev_ctx, out_grad, false, x_grad); x_grad->ResizeAndAllocate(x_dims); } } // namespace phi PD_REGISTER_KERNEL(flatten_grad, CPU, ALL_LAYOUT, phi::FlattenGradKernel, float, double, uint8_t, int8_t, int, int64_t) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_KERNEL(flatten_grad, GPU, ALL_LAYOUT, phi::FlattenGradKernel, float, phi::dtype::float16, double, uint8_t, int8_t, int, int64_t) {} #endif #ifdef PADDLE_WITH_XPU PD_REGISTER_KERNEL(flatten_grad, XPU, ALL_LAYOUT, phi::FlattenGradKernel, float, phi::dtype::float16, int8_t, int, int64_t) {} #endif