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 "batchnorm_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 = 5;
26 static const int OUTPUT_NUM = 1;
27 static const int PARAM_MAX_NUM = 1;
28 static const int SCALAR_LENGTH = 1;
29 const std::string OP_NAME = "BatchNorm";
30
BatchNormBuilder()31 BatchNormBuilder::BatchNormBuilder() {}
32
~BatchNormBuilder()33 BatchNormBuilder::~BatchNormBuilder() {}
34
SetEpsilon(const std::shared_ptr<NNTensor> & tensor)35 OH_NN_ReturnCode BatchNormBuilder::SetEpsilon(const std::shared_ptr<NNTensor>& tensor)
36 {
37 tensor->IdentifyOpParameter();
38 if (tensor->GetDataType() != OH_NN_FLOAT32) {
39 LOGE("[BatchNorm] SetEpsilon failed, the Epsilon should be type OH_NN_FLOAT32.");
40 return OH_NN_INVALID_PARAMETER;
41 }
42
43 if (tensor->GetElementCount() != SCALAR_LENGTH) {
44 LOGE("[BatchNorm] SetEpsilon failed, the Epsilon shoule be a scalar");
45 return OH_NN_INVALID_PARAMETER;
46 }
47
48 void* buffer = tensor->GetBuffer();
49 if (buffer == nullptr) {
50 LOGE("[BatchNorm] SetEpsilon failed, the epsilon passed a empty buffer.");
51 return OH_NN_INVALID_PARAMETER;
52 }
53
54 m_epsilon = *static_cast<float*>(buffer);
55 return OH_NN_SUCCESS;
56 }
57
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)58 OH_NN_ReturnCode BatchNormBuilder::Build(const std::vector<uint32_t>& paramsIndex,
59 const std::vector<uint32_t>& inputsIndex,
60 const std::vector<uint32_t>& outputsIndex,
61 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
62 {
63 if (m_isBuild) {
64 LOGE("[BatchNorm] Build failed, batchNorm operation has been build, cannot build again.");
65 return OH_NN_OPERATION_FORBIDDEN;
66 }
67
68 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
69 if (returnCode != OH_NN_SUCCESS) {
70 LOGE("[BatchNorm] Build failed, passed invalid input or output index.");
71 return returnCode;
72 }
73
74 m_inputsIndex = inputsIndex;
75 m_outputsIndex = outputsIndex;
76
77 returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
78 if (returnCode != OH_NN_SUCCESS) {
79 LOGE("[BatchNorm] Build failed, passed invalid param index.");
80 return returnCode;
81 }
82
83 for (int i : paramsIndex) {
84 std::shared_ptr<NNTensor> tensor = allTensors[i];
85 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
86 returnCode = (this->*(m_paramMap[tensor->GetType()]))(tensor);
87 } else {
88 LOGE("[BatchNorm] Build failed, param invalid, type=%d", tensor->GetType());
89 return OH_NN_INVALID_PARAMETER;
90 }
91
92 if (returnCode != OH_NN_SUCCESS) {
93 LOGE("[BatchNorm] BatchNorm Build failed,, Passed invalid param.");
94 return returnCode;
95 }
96 }
97
98 // The quantization type of the first output determinies that of the operator.
99 SetQuantType(outputsIndex, allTensors);
100
101 m_isBuild = true;
102 m_name = OP_NAME;
103 return OH_NN_SUCCESS;
104 }
105
GetPrimitive()106 LiteGraphPrimitvePtr BatchNormBuilder::GetPrimitive()
107 {
108 if (!m_isBuild) {
109 LOGE("[BatchNorm] GetPrimitive failed, cannot get primitive before call build.");
110 return {nullptr, DestroyLiteGraphPrimitive};
111 }
112
113 void* primitive = mindspore::lite::MindIR_FusedBatchNorm_CreatePrimitive(m_epsilon);
114 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
115 return graphPrimitivePtr;
116 }
117
118 REGISTER_OPS(BatchNormBuilder, OH_NN_OPS_BATCH_NORM);
119 } // namespace Ops
120 } // namespace NeuralNetworkRuntime
121 } // namespace OHOS