// Copyright (c) 2018 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 #include "paddle/fluid/platform/device_context.h" #include "paddle/phi/common/place.h" #include "paddle/phi/core/dense_tensor.h" #include "paddle/phi/core/kernel_factory.h" #include "paddle/phi/kernels/funcs/data_layout_transform.h" #ifdef PADDLE_WITH_MKLDNN #include "paddle/phi/backends/onednn/onednn_helper.h" #endif namespace paddle { namespace framework { struct CastDataLayout { CastDataLayout(const platform::DeviceContext* ctx, const std::vector& axis, const phi::DenseTensor& in, phi::DenseTensor* out) : in_(in), out_(out), ctx_(ctx), axis_(axis) {} const phi::DenseTensor in_; phi::DenseTensor* out_; const platform::DeviceContext* ctx_; const std::vector axis_; template void apply(); }; std::vector GetAxis(const DataLayout& from, const DataLayout& to); void TransDataLayout(const phi::KernelKey& kernel_type_for_var, const phi::KernelKey& expected_kernel_type, const phi::DenseTensor& in, phi::DenseTensor* out, const phi::Place& place); void TransDataLayout(phi::DataLayout from_layout, phi::DataLayout to_layout, phi::Place place, const phi::DenseTensor& in, phi::DenseTensor* out); } // namespace framework } // namespace paddle