// 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. #include "lite/operators/assign_op.h" #include "lite/core/op_lite.h" #include "lite/core/op_registry.h" namespace paddle { namespace lite { namespace operators { bool AssignOpLite::CheckShape() const { CHECK_OR_FALSE(param_.X || param_.X_array); CHECK_OR_FALSE(param_.Out || param_.Out_array); return true; } bool AssignOpLite::InferShapeImpl() const { if (param_.X) { param_.Out->Resize(param_.X->dims()); } else if (param_.X_array) { param_.Out_array->resize(param_.Out_array->size()); } else { LOG(FATAL) << "x or x_array must be set."; } return true; } // TODO(Superjomn) replace framework::OpDesc with a lite one. bool AssignOpLite::AttachImpl(const cpp::OpDesc &op_desc, lite::Scope *scope) { auto x_name = op_desc.Input("X").front(); auto out_name = op_desc.Output("Out").front(); auto x_var = scope->FindVar(x_name); if (x_var->IsType()) { param_.X = scope->FindTensor(x_name); param_.Out = scope->FindMutableTensor(out_name); } else if (x_var->IsType>()) { param_.X_array = x_var->GetMutable>(); param_.Out_array = scope->FindVar(out_name)->GetMutable>(); } else { LOG(FATAL) << "X type for assign op is unsupported. Expected type is " "tensor or tensor_array."; } return true; } } // namespace operators } // namespace lite } // namespace paddle REGISTER_LITE_OP(assign, paddle::lite::operators::AssignOpLite);