/* 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. */ #pragma once #include "paddle/phi/common/scalar_array.h" #include "paddle/phi/core/dense_tensor.h" #include "paddle/phi/infermeta/unary.h" #include "paddle/phi/kernels/empty_kernel.h" namespace phi { template void ReshapeKernel(const Context& dev_ctx, const DenseTensor& x, const ScalarArray& shape, DenseTensor* out); template void ReshapeWithXShape(const Context& dev_ctx, const DenseTensor& x, const ScalarArray& shape, DenseTensor* out, DenseTensor* xshape); template DenseTensor Reshape(const Context& dev_ctx, const DenseTensor& x, const std::vector& shape) { DenseTensor dense_out; MetaTensor meta_out(&dense_out); InferMetaFromVecValue(x, shape, &meta_out); ReshapeKernel(dev_ctx, x, ScalarArray(shape), &dense_out); return dense_out; } } // namespace phi