// Copyright (c) 2019 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 #include #include "paddle/fluid/framework/op_registry.h" namespace paddle { namespace operators { using Tensor = framework::Tensor; inline std::vector GetNewDataFromShapeTensor( const Tensor *new_data_tensor) { auto *new_data = new_data_tensor->data(); if (platform::is_gpu_place(new_data_tensor->place())) { framework::Tensor cpu_starts_tensor; TensorCopySync(*new_data_tensor, platform::CPUPlace(), &cpu_starts_tensor); new_data = cpu_starts_tensor.data(); } std::vector vec_new_data(new_data, new_data + new_data_tensor->numel()); return vec_new_data; } inline std::vector GetNewDataFromShapeTensorList( const std::vector &list_new_shape_tensor) { std::vector vec_new_shape; vec_new_shape.reserve(list_new_shape_tensor.size()); for (size_t i = 0; i < list_new_shape_tensor.size(); ++i) { auto tensor = list_new_shape_tensor[i]; PADDLE_ENFORCE_EQ(tensor->dims(), framework::make_ddim({1}), "shape of dim tensor should be [1]"); if (platform::is_gpu_place(tensor->place())) { framework::Tensor temp; TensorCopySync(*tensor, platform::CPUPlace(), &temp); vec_new_shape.push_back(*temp.data()); } else { vec_new_shape.push_back(*tensor->data()); } } return vec_new_shape; } } // namespace operators } // namespace paddle