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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_CORE_OPS_ACTIVATION_H_
18 #define MINDSPORE_CORE_OPS_ACTIVATION_H_
19 #include "ops/primitive_c.h"
20 #include "abstract/abstract_value.h"
21 #include "utils/check_convert_utils.h"
22 
23 namespace mindspore {
24 namespace ops {
25 constexpr auto kNameActivation = "Activation";
26 /// \brief Activation defined Activation operator prototype of lite.
27 class MS_CORE_API Activation : public PrimitiveC {
28  public:
29   /// \brief Constructor.
Activation()30   Activation() : PrimitiveC(kNameActivation) {}
31 
32   /// \brief Destructor.
33   ~Activation() = default;
34 
35   MS_DECLARE_PARENT(Activation, PrimitiveC);
36 
37   /// \brief Method to init the op's attributes.
38   ///
39   /// \param[in] alpha Define a size factor.
40   /// \param[in] min_val Define a lower bound.
41   /// \param[in] max_val Define a upper bound.
42   /// \param[in] activation_type Define the activation type.
43   /// \param[in] approximate Define a boolean value to decide whether to use an approximate algorithm, only useful for
44   ///            GELU.
45   void Init(const float alpha = 0.2, const float min_val = -1.0, const float max_val = 1.0,
46             const ActivationType &activation_type = NO_ACTIVATION, bool approximate = false);
47 
48   /// \brief Method to set alpha attribute.
49   ///
50   /// \param[in] alpha Define a size factor.
51   void set_alpha(const float alpha);
52 
53   /// \brief Method to set min_val attribute.
54   ///
55   /// \param[in] min_val Define a lower bound.
56   void set_min_val(const float min_val);
57 
58   /// \brief Method to set max_val attribute.
59   ///
60   /// \param[in] max_val Define a upper bound.
61   void set_max_val(const float max_val);
62 
63   /// \brief Method to set activation type.
64   ///
65   /// \param[in] activation_type Define the activation type.
66   void set_activation_type(const ActivationType &activation_type);
67 
68   /// \brief Method to get alpha attribute.
69   ///
70   /// \return alpha attribute.
71   float get_alpha() const;
72 
73   /// \brief Method to get min_val attribute.
74   ///
75   /// \return min_val attribute.
76   float get_min_val() const;
77 
78   /// \brief Method to get max_val attribute.
79   ///
80   /// \return max_val attribute.
81   float get_max_val() const;
82 
83   /// \brief Method to get activation type.
84   ///
85   /// \return activation type.
86   ActivationType get_activation_type() const;
87 
88   /// \brief Method to set approximate attribute.
89   ///
90   /// \param[in] approximate Define a boolean value to decide whether to use an approximate algorithm, only useful for
91   ///            GELU.
92   void set_approximate(bool approximate);
93 
94   /// \brief Method to get approximate attribute.
95   ///
96   /// \return approximate attribute.
97   bool get_approximate() const;
98 };
99 }  // namespace ops
100 }  // namespace mindspore
101 
102 #endif  // MINDSPORE_CORE_OPS_ACTIVATION_H_
103