1 /*
2  * Copyright (c) 2024 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 "hard_sigmoid_builder.h"
17 
18 #include "mindir.h"
19 #include "ops_registry.h"
20 
21 namespace OHOS {
22 namespace NeuralNetworkRuntime {
23 namespace Ops {
24 static const int INPUT_NUMS = 1;
25 static const int OUTPUT_NUMS = 1;
26 static const int PARAM_NUM = 0;
27 static const std::string OP_NAME = "HardSigmoid";
28 
HardSigmoidBuilder()29 HardSigmoidBuilder::HardSigmoidBuilder() {}
30 
~HardSigmoidBuilder()31 HardSigmoidBuilder::~HardSigmoidBuilder() {}
32 
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)33 OH_NN_ReturnCode HardSigmoidBuilder::Build(const std::vector<uint32_t>& paramsIndex,
34                                            const std::vector<uint32_t>& inputsIndex,
35                                            const std::vector<uint32_t>& outputsIndex,
36                                            const std::vector<std::shared_ptr<NNTensor>>& allTensors)
37 {
38     if (m_isBuild) {
39         LOGE("[HardSigmoid] Build failed, operation has been build, cannot build again.");
40         return OH_NN_OPERATION_FORBIDDEN;
41     }
42 
43     OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUMS, OUTPUT_NUMS);
44     if (returnCode != OH_NN_SUCCESS) {
45         LOGE("[HardSigmoid] Build failed, passed invalid input or output indices.");
46         return returnCode;
47     }
48 
49     returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_NUM);
50     if (returnCode != OH_NN_SUCCESS) {
51         LOGE("[HardSigmoid] Build failed, passed invalid param indices.");
52         return returnCode;
53     }
54 
55     m_inputsIndex = inputsIndex;
56     m_outputsIndex = outputsIndex;
57 
58     // The quantization type of the first output determinies that of the operator.
59     SetQuantType(outputsIndex, allTensors);
60 
61     m_isBuild = true;
62     m_name = OP_NAME;
63     return OH_NN_SUCCESS;
64 }
65 
GetPrimitive()66 LiteGraphPrimitvePtr HardSigmoidBuilder::GetPrimitive()
67 {
68     if (!m_isBuild) {
69         LOGE("[HardSigmoid] GetPrimitive failed, cannot get primitive before call build.");
70         return {nullptr, DestroyLiteGraphPrimitive};
71     }
72 
73     mindspore::lite::ActivationType activationType = mindspore::lite::ACTIVATION_TYPE_HSIGMOID;
74     float alpha = 0.0f;
75     float minVal = 0.0f;
76     float maxVal = 0.0f;
77     bool approximate = false;
78     void* primitive = mindspore::lite::MindIR_Activation_CreatePrimitive(activationType,
79         alpha, minVal, maxVal, approximate);
80     LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
81 
82     return graphPrimitivePtr;
83 }
84 
85 REGISTER_OPS(HardSigmoidBuilder, OH_NN_OPS_HARD_SIGMOID);
86 } // namespace Ops
87 } // namespace NeuralNetworkRuntime
88 } // namespace OHOS