/* 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/shape_kernel.h" #include "paddle/phi/backends/all_context.h" #include "paddle/phi/core/kernel_registry.h" namespace phi { template void ShapeKernel(const Context& ctx, const DenseTensor& input, DenseTensor* out) { auto in_var = &input; phi::DDim in_dims; in_dims = in_var->dims(); auto out_t = out; out_t->Resize({in_dims.size()}); auto out_data = ctx.template HostAlloc(out_t); for (int i = 0; i < in_dims.size(); ++i) { out_data[i] = in_dims[i]; } } } // namespace phi PD_REGISTER_KERNEL(shape, CPU, ALL_LAYOUT, phi::ShapeKernel, bool, int, int8_t, uint8_t, int64_t, float, double, phi::dtype::complex, phi::dtype::complex) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_KERNEL(shape, GPU, ALL_LAYOUT, phi::ShapeKernel, bool, int, int8_t, uint8_t, int64_t, float, double, phi::dtype::complex, phi::dtype::complex, phi::dtype::float16) {} #endif