// Copyright (c) 2020 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/eigen.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/framework/operator.h" #include "paddle/fluid/platform/complex.h" #include "paddle/fluid/platform/for_range.h" #include "paddle/pten/kernels/funcs/complex_functors.h" namespace paddle { namespace operators { template class AsComplexKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { const auto* x = context.Input("X"); auto* out = context.Output("Out"); out->mutable_data>(context.GetPlace()); // TensorCopy also changes output's shape & dtype const framework::DDim out_dims_original = out->dims(); framework::TensorCopy(*x, context.GetPlace(), out); out->Resize(out_dims_original); // restored the shape out->mutable_data>( context.GetPlace()); // restore the dtype } }; template class AsRealKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { const auto* x = context.Input("X"); auto* out = context.Output("Out"); out->mutable_data(context.GetPlace()); const framework::DDim out_dims_original = out->dims(); framework::TensorCopy(*x, context.GetPlace(), out); out->Resize(out_dims_original); // restored the shape out->mutable_data(context.GetPlace()); // restore the dtype } }; } // namespace operators } // namespace paddle