1 /** 2 * Copyright 2020-2021 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_BACKEND_KERNEL_COMPILER_CPU_SPARSE_APPLY_LAZY_ADAM_CPU_KERNEL_H_ 18 #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPARSE_APPLY_LAZY_ADAM_CPU_KERNEL_H_ 19 20 #include <vector> 21 #include "backend/kernel_compiler/cpu/sparse_optimizer_cpu_kernel.h" 22 23 namespace mindspore { 24 namespace kernel { 25 class SparseApplyLazyAdamCPUKernel : public SparseOptimizerCPUKernel { 26 public: 27 SparseApplyLazyAdamCPUKernel() = default; 28 ~SparseApplyLazyAdamCPUKernel() override = default; 29 30 void InitKernel(const CNodePtr &kernel_node) override; 31 bool Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &workspace, 32 const std::vector<AddressPtr> &outputs) override; 33 34 protected: 35 void InitInputOutputSize(const CNodePtr &kernel_node) override; 36 bool use_nesterov_{false}; 37 38 private: 39 template <typename T> 40 void InitWorkspaceSize(); 41 42 template <typename T> 43 void LaunchKernel(const std::vector<kernel::AddressPtr> &inputs, 44 const std::vector<kernel::AddressPtr> &workspace) const; 45 }; 46 47 MS_REG_CPU_KERNEL(FusedSparseLazyAdam, 48 KernelAttr() 49 .AddInputAttr(kNumberTypeFloat32) 50 .AddInputAttr(kNumberTypeFloat32) 51 .AddInputAttr(kNumberTypeFloat32) 52 .AddInputAttr(kNumberTypeFloat32) 53 .AddInputAttr(kNumberTypeFloat32) 54 .AddInputAttr(kNumberTypeFloat32) 55 .AddInputAttr(kNumberTypeFloat32) 56 .AddInputAttr(kNumberTypeFloat32) 57 .AddInputAttr(kNumberTypeFloat32) 58 .AddInputAttr(kNumberTypeFloat32) 59 .AddInputAttr(kNumberTypeInt32) 60 .AddOutputAttr(kNumberTypeFloat32) 61 .AddOutputAttr(kNumberTypeFloat32) 62 .AddOutputAttr(kNumberTypeFloat32), 63 SparseApplyLazyAdamCPUKernel); 64 65 MS_REG_CPU_KERNEL(FusedSparseLazyAdam, 66 KernelAttr() 67 .AddInputAttr(kNumberTypeFloat32) 68 .AddInputAttr(kNumberTypeFloat32) 69 .AddInputAttr(kNumberTypeFloat32) 70 .AddInputAttr(kNumberTypeFloat32) 71 .AddInputAttr(kNumberTypeFloat32) 72 .AddInputAttr(kNumberTypeFloat32) 73 .AddInputAttr(kNumberTypeFloat32) 74 .AddInputAttr(kNumberTypeFloat32) 75 .AddInputAttr(kNumberTypeFloat32) 76 .AddInputAttr(kNumberTypeFloat32) 77 .AddInputAttr(kNumberTypeInt64) 78 .AddOutputAttr(kNumberTypeFloat32) 79 .AddOutputAttr(kNumberTypeFloat32) 80 .AddOutputAttr(kNumberTypeFloat32), 81 SparseApplyLazyAdamCPUKernel); 82 } // namespace kernel 83 } // namespace mindspore 84 85 #endif // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPARSE_APPLY_LAZY_ADAM_CPU_KERNEL_H_ 86