1 /** 2 * Copyright 2021 Huawei Technologies Co., Ltd 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16 17 #ifndef MINDSPORE_CCSRC_FL_SERVER_KERNEL_SGD_KERNEL_H_ 18 #define MINDSPORE_CCSRC_FL_SERVER_KERNEL_SGD_KERNEL_H_ 19 20 #include <vector> 21 #include <memory> 22 #include <utility> 23 #include "backend/kernel_compiler/cpu/sgd_cpu_kernel.h" 24 #include "fl/server/kernel/optimizer_kernel.h" 25 #include "fl/server/kernel/optimizer_kernel_factory.h" 26 27 namespace mindspore { 28 namespace fl { 29 namespace server { 30 namespace kernel { 31 using mindspore::kernel::SGDCPUKernel; 32 template <typename T> 33 class SGDKernel : public SGDCPUKernel<T>, public OptimizerKernel { 34 public: 35 SGDKernel() = default; 36 ~SGDKernel() override = default; 37 InitKernel(const CNodePtr & cnode)38 void InitKernel(const CNodePtr &cnode) override { 39 SGDCPUKernel<T>::InitKernel(cnode); 40 InitServerKernelInputOutputSize(cnode); 41 GenerateReuseKernelNodeInfo(); 42 } 43 Launch(const std::vector<AddressPtr> & inputs,const std::vector<AddressPtr> & workspace,const std::vector<AddressPtr> & outputs)44 bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, 45 const std::vector<AddressPtr> &outputs) override { 46 return SGDCPUKernel<T>::Launch(inputs, workspace, outputs); 47 } 48 GenerateReuseKernelNodeInfo()49 void GenerateReuseKernelNodeInfo() override { 50 MS_LOG(INFO) << "SGD reuse 'weight', 'learning rate', 'accumulation', 'momentum' and 'stat' of the kernel node."; 51 reuse_kernel_node_inputs_info_.insert(std::make_pair(kWeight, 0)); 52 reuse_kernel_node_inputs_info_.insert(std::make_pair(kLearningRate, 2)); 53 reuse_kernel_node_inputs_info_.insert(std::make_pair(kAccumulation, 3)); 54 reuse_kernel_node_inputs_info_.insert(std::make_pair(kMomentum, 4)); 55 reuse_kernel_node_inputs_info_.insert(std::make_pair(kStat, 5)); 56 return; 57 } 58 }; 59 } // namespace kernel 60 } // namespace server 61 } // namespace fl 62 } // namespace mindspore 63 #endif // MINDSPORE_CCSRC_FL_SERVER_KERNEL_SGD_KERNEL_H_ 64