// 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/core/custom_kernel.h" namespace phi { void RegisterCustomKernels(const CustomKernelMap& custom_kernel_map) { auto& kernel_info_map = custom_kernel_map.GetMap(); VLOG(3) << "Size of custom_kernel_map: " << kernel_info_map.size(); for (auto& pair : kernel_info_map) { PADDLE_ENFORCE_EQ( KernelFactory::Instance().HasCompatiblePtenKernel(pair.first), true, phi::errors::InvalidArgument( "The kernel %s is not ready for custom kernel registering.", pair.first)); for (auto& info_pair : pair.second) { auto& kernels = KernelFactory::Instance().kernels(); PADDLE_ENFORCE_EQ( kernels[pair.first].find(info_pair.first), kernels[pair.first].end(), phi::errors::InvalidArgument( "The operator <%s>'s kernel: %s has been already existed " "in Paddle, please contribute PR if it is necessary " "to optimize the kernel code. Custom kernel does NOT support " "to replace existing kernel in Paddle.", pair.first, info_pair.first)); kernels[pair.first][info_pair.first] = info_pair.second; VLOG(3) << "Successed in registering operator <" << pair.first << ">'s kernel: " << info_pair.first << " to Paddle. It will be used like native ones."; } } } } // namespace phi #ifdef __cplusplus extern "C" { #endif // C-API to get global CustomKernelMap. phi::CustomKernelMap& PD_GetCustomKernelMap() { return phi::CustomKernelMap::Instance(); } #ifdef __cplusplus } // end extern "C" #endif