1 /*
2  * Copyright (c) 2022 Huawei Device Co., Ltd.
3  * Licensed under the Apache License, Version 2.0 (the "License");
4  * you may not use this file except in compliance with the License.
5  * You may obtain a copy of the License at
6  *
7  *     http://www.apache.org/licenses/LICENSE-2.0
8  *
9  * Unless required by applicable law or agreed to in writing, software
10  * distributed under the License is distributed on an "AS IS" BASIS,
11  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12  * See the License for the specific language governing permissions and
13  * limitations under the License.
14  */
15 
16 #include "sigmoid_builder.h"
17 
18 #include "mindir.h"
19 
20 #include "ops_registry.h"
21 
22 namespace OHOS {
23 namespace NeuralNetworkRuntime {
24 namespace Ops {
25 static const int INPUT_NUM = 1;
26 static const int OUTPUT_NUM = 1;
27 static const int PARAM_NUM = 0;
28 static const std::string OP_NAME = "Sigmoid";
29 
SigmoidBuilder()30 SigmoidBuilder::SigmoidBuilder() {}
31 
~SigmoidBuilder()32 SigmoidBuilder::~SigmoidBuilder() {}
33 
Build(const std::vector<uint32_t> & paramsIndex,const std::vector<uint32_t> & inputsIndex,const std::vector<uint32_t> & outputsIndex,const std::vector<std::shared_ptr<NNTensor>> & allTensors)34 OH_NN_ReturnCode SigmoidBuilder::Build(const std::vector<uint32_t>& paramsIndex,
35                                        const std::vector<uint32_t>& inputsIndex,
36                                        const std::vector<uint32_t>& outputsIndex,
37                                        const std::vector<std::shared_ptr<NNTensor>>& allTensors)
38 {
39     if (m_isBuild) {
40         LOGE("[SigmoidBuilder] Build failed, the Sigmoid operation has been build, cannot build again.");
41         return OH_NN_OPERATION_FORBIDDEN;
42     }
43 
44     OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
45     if (returnCode != OH_NN_SUCCESS) {
46         LOGE("[SigmoidBuilder] Build failed, passed invalid input or output index.");
47         return returnCode;
48     }
49 
50     m_inputsIndex = inputsIndex;
51     m_outputsIndex = outputsIndex;
52 
53     returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_NUM);
54     if (returnCode != OH_NN_SUCCESS) {
55         LOGE("[SigmoidBuilder] Build failed, passed invalid input or output index.");
56         return returnCode;
57     }
58 
59     // The quantization type of the first output determinies that of the operator.
60     SetQuantType(outputsIndex, allTensors);
61 
62     m_isBuild = true;
63     m_name = OP_NAME;
64     return OH_NN_SUCCESS;
65 }
66 
GetPrimitive()67 LiteGraphPrimitvePtr SigmoidBuilder::GetPrimitive()
68 {
69     if (!m_isBuild) {
70         LOGE("[SigmoidBuilder] GetPrimitive failed, cannot get primitive before call build.");
71         return {nullptr, DestroyLiteGraphPrimitive};
72     }
73 
74     float alpha{0.0f};
75     float minVal{0.0f};
76     float maxVal{0.0f};
77     bool approximate{false};
78     mindspore::lite::ActivationType activationType{mindspore::lite::ACTIVATION_TYPE_SIGMOID};
79 
80     void* primitive = mindspore::lite::MindIR_Activation_CreatePrimitive(activationType, alpha, minVal,
81                                                                          maxVal, approximate);
82 
83     LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
84     return graphPrimitivePtr;
85 }
86 
87 REGISTER_OPS(SigmoidBuilder, OH_NN_OPS_SIGMOID);
88 } // namespace Ops
89 } // namespace NeuralNetworkRuntime
90 } // namespace OHOS