// 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. #include "paddle/phi/api/ext/dispatch.h" #include "paddle/phi/backends/cpu/cpu_context.h" #include "paddle/phi/common/bfloat16.h" #include "paddle/phi/common/complex.h" #include "paddle/phi/core/kernel_registry.h" #include "paddle/phi/kernels/cpu/elementwise.h" #include "paddle/phi/kernels/impl/elementwise_kernel_impl.h" namespace phi { template void SubtractKernel(const Context& dev_ctx, const DenseTensor& x, const DenseTensor& y, DenseTensor* out) { dev_ctx.template Alloc(out); if (x.dims() == y.dims()) { SameDimsElementwiseCompute>()( dev_ctx, x, y, out); } else { auto x_dims = x.dims(); auto y_dims = y.dims(); if (x_dims.size() >= y_dims.size()) { funcs::ElementwiseCompute, T>( dev_ctx, x, y, funcs::SubtractFunctor(), out, -1); } else { funcs::ElementwiseCompute, T>( dev_ctx, x, y, funcs::InverseSubtractFunctor(), out, -1); } } } } // namespace phi using complex64 = ::phi::dtype::complex; using complex128 = ::phi::dtype::complex; // NOTE(chenweihang): using bfloat16 will cause redefine with xpu bfloat16 // using bfloat16 = ::phi::dtype::bfloat16; PD_REGISTER_KERNEL(subtract, CPU, ALL_LAYOUT, phi::SubtractKernel, float, double, int16_t, int, int64_t, complex64, complex128, phi::dtype::bfloat16) {}