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 "tanh_builder.h"
17
18 namespace OHOS {
19 namespace NeuralNetworkRuntime {
20 namespace Ops {
21 static const int INPUT_NUM = 1;
22 static const int OUTPUT_NUM = 1;
23 static const std::string OP_NAME = "Tanh";
24
TanhBuilder()25 TanhBuilder::TanhBuilder() {}
26
~TanhBuilder()27 TanhBuilder::~TanhBuilder() {}
28
29 /**
30 * Build method.
31 * 1.set attr of ops.
32 * 2.set inputIndex of ops.
33 * 3.set outputIndex of ops.
34 */
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)35 OH_NN_ReturnCode TanhBuilder::Build(const std::vector<uint32_t>& paramsIndex,
36 const std::vector<uint32_t>& inputsIndex,
37 const std::vector<uint32_t>& outputsIndex,
38 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
39 {
40 if (m_isBuild) {
41 LOGE("[TanhBuilder] Tanh operation has been build, cannot build again.");
42 return OH_NN_OPERATION_FORBIDDEN;
43 }
44
45 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
46 if (returnCode != OH_NN_SUCCESS) {
47 LOGE("[TanhBuilder] Passed invalid input or output index.");
48 return returnCode;
49 }
50
51 if (!paramsIndex.empty()) {
52 LOGE("[TanhBuilder] TanhBuilder expects no parameters, but receive %zu", paramsIndex.size());
53 return OH_NN_INVALID_PARAMETER;
54 }
55
56 m_inputsIndex = inputsIndex;
57 m_outputsIndex = outputsIndex;
58
59 // The quantization type of the first output determinies that of the operator.
60 SetQuantType(outputsIndex, allTensors);
61
62 m_name = OP_NAME;
63 m_isBuild = true;
64 return OH_NN_SUCCESS;
65 }
66
GetPrimitive()67 LiteGraphPrimitvePtr TanhBuilder::GetPrimitive()
68 {
69 if (!m_isBuild) {
70 LOGE("[TanhBuilder] 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 auto primitive =
79 mindspore::lite::MindIR_Activation_CreatePrimitive(m_activationType, alpha, minVal, maxVal, approximate);
80 if (primitive == nullptr) {
81 LOGE("[TanhBuilder] Create primitive of Tanh failed.");
82 return { nullptr, DestroyLiteGraphPrimitive };
83 }
84
85 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
86 return graphPrimitivePtr;
87 }
88
89 REGISTER_OPS(TanhBuilder, OH_NN_OPS_TANH);
90 } // namespace Ops
91 } // namespace NeuralNetworkRuntime
92 } // namespace OHOS