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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_FTRL_CPU_KERNEL_H_
18 #define MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPARSE_APPLY_FTRL_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 SparseApplyFtrlCPUKernel : public SparseOptimizerCPUKernel {
26  public:
27   SparseApplyFtrlCPUKernel() = default;
28   ~SparseApplyFtrlCPUKernel() 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   float lr_{0.0};
36   float l1_{0.0};
37   float l2_{0.0};
38   float lr_power_{0.0};
39 
40  private:
41   void InitInputOutputSize(const CNodePtr &kernel_node) override;
42 
43   template <typename T>
44   void InitWorkspaceSize();
45 
46   template <typename T>
47   void LaunchKernel(const std::vector<kernel::AddressPtr> &inputs,
48                     const std::vector<kernel::AddressPtr> &workspace) const;
49 };
50 
51 MS_REG_CPU_KERNEL(FusedSparseFtrl,
52                   KernelAttr()
53                     .AddInputAttr(kNumberTypeFloat32)
54                     .AddInputAttr(kNumberTypeFloat32)
55                     .AddInputAttr(kNumberTypeFloat32)
56                     .AddInputAttr(kNumberTypeFloat32)
57                     .AddInputAttr(kNumberTypeInt32)
58                     .AddOutputAttr(kNumberTypeFloat32)
59                     .AddOutputAttr(kNumberTypeFloat32)
60                     .AddOutputAttr(kNumberTypeFloat32),
61                   SparseApplyFtrlCPUKernel);
62 
63 MS_REG_CPU_KERNEL(FusedSparseFtrl,
64                   KernelAttr()
65                     .AddInputAttr(kNumberTypeFloat32)
66                     .AddInputAttr(kNumberTypeFloat32)
67                     .AddInputAttr(kNumberTypeFloat32)
68                     .AddInputAttr(kNumberTypeFloat32)
69                     .AddInputAttr(kNumberTypeInt64)
70                     .AddOutputAttr(kNumberTypeFloat32)
71                     .AddOutputAttr(kNumberTypeFloat32)
72                     .AddOutputAttr(kNumberTypeFloat32),
73                   SparseApplyFtrlCPUKernel);
74 }  // namespace kernel
75 }  // namespace mindspore
76 
77 #endif  // MINDSPORE_CCSRC_BACKEND_KERNEL_COMPILER_CPU_SPARSE_APPLY_FTRL_CPU_KERNEL_H_
78