// 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/kernels/activation_kernel.h" #include "paddle/phi/backends/all_context.h" #include "paddle/phi/core/kernel_registry.h" namespace phi { template void Relu6Kernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out) { Relu6RawKernel(dev_ctx, x, 6, out); } template void SwishKernel(const Context& dev_ctx, const DenseTensor& x, DenseTensor* out) { SwishRawKernel(dev_ctx, x, 1.0, out); } } // namespace phi using complex64 = ::phi::dtype::complex; using complex128 = ::phi::dtype::complex; PD_REGISTER_KERNEL(relu6, CPU, ALL_LAYOUT, phi::Relu6Kernel, float, double) {} PD_REGISTER_KERNEL(swish, CPU, ALL_LAYOUT, phi::SwishKernel, float, double) {} #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) PD_REGISTER_KERNEL(relu6, GPU, ALL_LAYOUT, phi::Relu6Kernel, float, double, phi::dtype::float16, phi::dtype::bfloat16) {} PD_REGISTER_KERNEL(swish, GPU, ALL_LAYOUT, phi::SwishKernel, float, double, phi::dtype::float16, phi::dtype::bfloat16) {} #endif #if defined PADDLE_WITH_XPU PD_REGISTER_KERNEL(relu6, XPU, ALL_LAYOUT, phi::Relu6Kernel, float) {} PD_REGISTER_KERNEL(swish, XPU, ALL_LAYOUT, phi::SwishKernel, float) {} #endif #ifdef PADDLE_WITH_MKLDNN PD_REGISTER_KERNEL( relu6, OneDNN, ONEDNN, phi::Relu6Kernel, float, phi::dtype::bfloat16) {} PD_REGISTER_KERNEL( swish, OneDNN, ONEDNN, phi::SwishKernel, float, phi::dtype::bfloat16) {} #endif