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 "sqrt_builder.h"
17  
18  #include "mindir.h"
19  
20  namespace OHOS {
21  namespace NeuralNetworkRuntime {
22  namespace Ops {
23  static const int INPUT_NUM = 1;
24  static const int OUTPUT_NUM = 1;
25  static const int PARAM_NUM = 0;
26  static const std::string OP_NAME = "Sqrt";
27  
SqrtBuilder()28  SqrtBuilder::SqrtBuilder() {}
29  
~SqrtBuilder()30  SqrtBuilder::~SqrtBuilder() {}
31  
32  /**
33   * Build method.
34   * 1.set attr of ops.
35   * 2.set inputIndex of ops.
36   * 3.set outputIndex of ops.
37   */
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)38  OH_NN_ReturnCode SqrtBuilder::Build(const std::vector<uint32_t>& paramsIndex,
39                                      const std::vector<uint32_t>& inputsIndex,
40                                      const std::vector<uint32_t>& outputsIndex,
41                                      const std::vector<std::shared_ptr<NNTensor>>& allTensors)
42  {
43      if (m_isBuild) {
44          LOGE("[SqrtBuilder] Sqrt operation has been build, cannot build again.");
45          return OH_NN_OPERATION_FORBIDDEN;
46      }
47  
48      OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
49      if (returnCode != OH_NN_SUCCESS) {
50          LOGE("[SqrtBuilder] Passed invalid input or output index.");
51          return returnCode;
52      }
53  
54      m_inputsIndex = inputsIndex;
55      m_outputsIndex = outputsIndex;
56  
57      returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_NUM);
58      if (returnCode != OH_NN_SUCCESS) {
59          LOGE("[SqrtBuilder] Passed invalid param index.");
60          return returnCode;
61      }
62  
63      // The quantization type of the first output determinies that of the operator.
64      SetQuantType(outputsIndex, allTensors);
65      m_isBuild = true;
66      m_name = OP_NAME;
67      return OH_NN_SUCCESS;
68  }
69  
GetPrimitive()70  LiteGraphTensorPtr SqrtBuilder::GetPrimitive()
71  {
72      if (!m_isBuild) {
73          LOGE("[SqrtBuilder] Cannot get primitive before call build.");
74          return {nullptr, DestroyLiteGraphPrimitive};
75      }
76  
77      auto primitive = mindspore::lite::MindIR_Sqrt_CreatePrimitive();
78      if (primitive == nullptr) {
79          LOGE("[SqrtBuilder] Create primitive of Sqrt failed.");
80          return {nullptr, DestroyLiteGraphPrimitive};
81      }
82  
83      LiteGraphTensorPtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
84      return graphPrimitivePtr;
85  }
86  
87  REGISTER_OPS(SqrtBuilder, OH_NN_OPS_SQRT);
88  } // namespace Ops
89  } // namespace NeuralNetworkRuntime
90  } // namespace OHOS
91