/* 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/framework.pb.h" #include "paddle/fluid/framework/op_registry.h" #include "paddle/fluid/platform/transform.h" namespace paddle { namespace operators { template struct CastOpTransformFunctor { HOSTDEVICE OutT operator()(InT in) const { return static_cast(in); } }; template struct CastOpFunctor { const framework::Tensor* in_; framework::Tensor* out_; const DeviceContext& ctx_; CastOpFunctor(const framework::Tensor* in, framework::Tensor* out, const DeviceContext& ctx) : in_(in), out_(out), ctx_(ctx) {} template void operator()() const { auto* in_begin = in_->data(); auto numel = in_->numel(); auto* in_end = in_begin + numel; auto* out_begin = out_->mutable_data(ctx_.GetPlace()); platform::Transform trans; trans(ctx_, in_begin, in_end, out_begin, CastOpTransformFunctor()); } }; template class CastOpKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { auto* in = context.Input("X"); auto* out = context.Output("Out"); #if !defined(_MSC_VER) framework::VisitDataType( static_cast( context.Attr("out_dtype")), CastOpFunctor( in, out, context.template device_context())); #else auto type = static_cast( context.Attr("out_dtype")); trans #endif // msvc } }; } // namespace operators } // namespace paddle