// 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/assign_kernel.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/copy_kernel.h" #include "paddle/utils/optional.h" namespace phi { template void AssignKernel(const Context& dev_ctx, paddle::optional x, DenseTensor* out) { if (!x.is_initialized()) { return; } auto& x_tensor = *x.get_ptr(); Copy(dev_ctx, x_tensor, x_tensor.place(), false, out); } // Note: use `const paddle::optional&> x` // as input if needed template void AssignArrayKernel(const Context& dev_ctx, const std::vector& x, std::vector out) { for (size_t i = 0; i < x.size(); ++i) { AssignKernel(dev_ctx, *x[i], out.at(i)); } } } // namespace phi PD_REGISTER_GENERAL_KERNEL( assign, CPU, ALL_LAYOUT, phi::AssignKernel, ALL_DTYPE) {} PD_REGISTER_GENERAL_KERNEL(assign_array, CPU, ALL_LAYOUT, phi::AssignArrayKernel, ALL_DTYPE) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_GENERAL_KERNEL( assign, GPU, ALL_LAYOUT, phi::AssignKernel, ALL_DTYPE) {} PD_REGISTER_GENERAL_KERNEL(assign_array, GPU, ALL_LAYOUT, phi::AssignArrayKernel, ALL_DTYPE) {} #endif