/* Copyright (c) 2016 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/fluid/framework/data_type.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/var_type.h" #include "paddle/fluid/platform/device_context.h" namespace phi { class DenseTensor; } // namespace phi namespace paddle { namespace framework { class Variable; } // namespace framework } // namespace paddle namespace paddle { namespace operators { class AssignFunctor { public: AssignFunctor(framework::Variable *out, const platform::DeviceContext &dev_ctx) : out_(out), dev_ctx_(dev_ctx) {} void operator()(const phi::DenseTensor &lod_tensor) const { auto &out_tensor = *out_->GetMutable(); copy_tensor(lod_tensor, &out_tensor); } void operator()(const framework::LoDTensorArray &array) const { auto &out_array = *out_->GetMutable(); out_array.resize(array.size()); for (size_t i = 0; i < array.size(); ++i) { copy_tensor(array[i], &out_array[i]); } } void operator()(const phi::SelectedRows &rows) const { phi::SelectedRows &out_rows = *out_->GetMutable(); out_rows.set_rows(rows.rows()); out_rows.set_height(rows.height()); auto &t = rows.value(); auto *m = out_rows.mutable_value(); framework::TensorCopy(t, t.place(), m); } template void operator()(const T &v UNUSED) const { PADDLE_ENFORCE_EQ( true, false, platform::errors::PermissionDenied( "Not support type for assign op with type %s", typeid(T).name())); } private: void copy_tensor(const phi::DenseTensor &lod_tensor, phi::DenseTensor *out) const { if (!lod_tensor.IsInitialized()) return; auto &out_tensor = *out; paddle::framework::TensorCopy(lod_tensor, lod_tensor.place(), &out_tensor); out_tensor.set_lod(lod_tensor.lod()); } framework::Variable *out_; const platform::DeviceContext &dev_ctx_; }; } // namespace operators } // namespace paddle