// Copyright (c) 2022 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/phi/backends/cpu/cpu_context.h" // See Note [ Why still include the fluid headers? ] #include "paddle/phi/common/transform.h" namespace phi { template struct CastOpTransformFunctor { HOSTDEVICE OutT operator()(InT in) const { return static_cast(in); } }; template void CastKernelImpl(const CPUContext& dev_ctx, const DenseTensor& x, DataType out_dtype, DenseTensor* out) { auto* in_begin = x.data(); auto numel = x.numel(); auto* in_end = in_begin + numel; auto* out_begin = dev_ctx.Alloc(out); out->set_type(out_dtype); phi::Transform trans; trans(dev_ctx, in_begin, in_end, out_begin, CastOpTransformFunctor()); } template void CastInplaceKernelImpl(const CPUContext& dev_ctx, const DenseTensor& x, DataType out_dtype, DenseTensor* out) { auto x_origin = x; auto* in_begin = x_origin.data(); auto numel = x_origin.numel(); auto* in_end = in_begin + numel; auto* out_begin = dev_ctx.Alloc(out); out->set_type(out_dtype); phi::Transform trans; trans(dev_ctx, in_begin, in_end, out_begin, CastOpTransformFunctor()); } } // namespace phi