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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 "bias_add_builder.h"
17 
18 namespace OHOS {
19 namespace NeuralNetworkRuntime {
20 namespace Ops {
21 static const int INPUT_NUM = 2;
22 static const int OUTPUT_NUM = 1;
23 static const std::string OP_NAME = "BiasAdd";
24 
BiasAddBuilder()25 BiasAddBuilder::BiasAddBuilder() {}
26 
~BiasAddBuilder()27 BiasAddBuilder::~BiasAddBuilder() {}
28 
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)29 OH_NN_ReturnCode BiasAddBuilder::Build(const std::vector<uint32_t>& paramsIndex,
30                                        const std::vector<uint32_t>& inputsIndex,
31                                        const std::vector<uint32_t>& outputsIndex,
32                                        const std::vector<std::shared_ptr<NNTensor>>& allTensors)
33 {
34     if (m_isBuild) {
35         LOGE("[BiasAdd] Build failed, biasAdd operation has been build, cannot build again.");
36         return OH_NN_OPERATION_FORBIDDEN;
37     }
38 
39     OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
40     if (returnCode != OH_NN_SUCCESS) {
41         LOGE("[BiasAdd] Build failed, passed invalid input or output index.");
42         return returnCode;
43     }
44 
45     m_inputsIndex = inputsIndex;
46     m_outputsIndex = outputsIndex;
47     if (!paramsIndex.empty()) {
48         LOGE("[BiasAdd] Build failed, expects no parameters");
49         return OH_NN_INVALID_PARAMETER;
50     }
51 
52     // The quantization type of the first output determinies that of the operator.
53     SetQuantType(outputsIndex, allTensors);
54 
55     m_isBuild = true;
56     m_name = OP_NAME;
57     return OH_NN_SUCCESS;
58 }
59 
GetPrimitive()60 LiteGraphPrimitvePtr BiasAddBuilder::GetPrimitive()
61 {
62     if (!m_isBuild) {
63         LOGE("[BiasAdd] Build failed, cannot get primitive before call build.");
64         return {nullptr, DestroyLiteGraphPrimitive};
65     }
66 
67     void* primitive = mindspore::lite::MindIR_BiasAdd_CreatePrimitive();
68     LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
69     return graphPrimitivePtr;
70 }
71 
72 REGISTER_OPS(BiasAddBuilder, OH_NN_OPS_BIAS_ADD);
73 } // namespace Ops
74 } // namespace NeuralNetworkRuntime
75 } // namespace OHOS