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 "reducemean_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_NUM = 2;
25 static const int OUTPUT_NUM = 1;
26 static const int PARAM_MAX_NUM = 3;
27 static const int SCALE_LENGTH = 1;
28 static const std::string OP_NAME = "ReduceMean";
29
ReduceMeanBuilder()30 ReduceMeanBuilder::ReduceMeanBuilder() {}
31
~ReduceMeanBuilder()32 ReduceMeanBuilder:: ~ReduceMeanBuilder() {}
33
SetCoeff(const std::shared_ptr<NNTensor> & tensor)34 OH_NN_ReturnCode ReduceMeanBuilder::SetCoeff(const std::shared_ptr<NNTensor>& tensor)
35 {
36 if (tensor->GetDataType() != OH_NN_FLOAT32) {
37 LOGE("[ReduceAll] The coeff should be type OH_NN_FLOAT32.");
38 return OH_NN_INVALID_PARAMETER;
39 }
40
41 if (tensor->GetElementCount() != SCALE_LENGTH) {
42 LOGE("[ReduceAll] The coeff should be scalar.");
43 return OH_NN_INVALID_PARAMETER;
44 }
45
46 void* buffer = tensor->GetBuffer();
47 if (buffer == nullptr) {
48 LOGE("[ReduceAll] Tensor buffer is nullptr.");
49 return OH_NN_INVALID_PARAMETER;
50 }
51 m_coeff = *(static_cast<const float*>(buffer));
52
53 return OH_NN_SUCCESS;
54 }
55
SetReduceToEnd(const std::shared_ptr<NNTensor> & tensor)56 OH_NN_ReturnCode ReduceMeanBuilder::SetReduceToEnd(const std::shared_ptr<NNTensor>& tensor)
57 {
58 if (tensor->GetDataType() != OH_NN_BOOL) {
59 LOGE("[ReduceAll] SetReduceToEnd failed, the reduceToEnd should be type OH_NN_BOOL.");
60 return OH_NN_INVALID_PARAMETER;
61 }
62
63 tensor->IdentifyOpParameter();
64 if (tensor->GetElementCount() != SCALE_LENGTH) {
65 LOGE("[ReduceAll] SetReduceToEnd failed, the reduceToEnd dimensions should be scalar.");
66 return OH_NN_INVALID_PARAMETER;
67 }
68
69 void* buffer = tensor->GetBuffer();
70 if (buffer == nullptr) {
71 LOGE("[ReduceAll] SetReduceToEnd failed, the reduceToEnd passed buffer is empty.");
72 return OH_NN_INVALID_PARAMETER;
73 }
74
75 m_reduceToEnd = *(static_cast<bool*>(buffer));
76 return OH_NN_SUCCESS;
77 }
78
SetKeepDims(const std::shared_ptr<NNTensor> & tensor)79 OH_NN_ReturnCode ReduceMeanBuilder::SetKeepDims(const std::shared_ptr<NNTensor>& tensor)
80 {
81 tensor->IdentifyOpParameter();
82 if (tensor->GetElementCount() != SCALE_LENGTH) {
83 LOGE("[ReduceMean] SetKeepDims failed, the keep_dims dimensions should be scalar.");
84 return OH_NN_INVALID_PARAMETER;
85 }
86
87 if (tensor->GetDataType() != OH_NN_BOOL) {
88 LOGE("[ReduceMean] SetKeepDims failed, the keep_dims should be type OH_NN_BOOL.");
89 return OH_NN_INVALID_PARAMETER;
90 }
91
92 void* buffer = tensor->GetBuffer();
93 if (buffer == nullptr) {
94 LOGE("[ReduceMean] SetKeepDims failed, the keep_dims passed buffer is empty.");
95 return OH_NN_INVALID_PARAMETER;
96 }
97
98 m_keepDims = *(static_cast<bool*>(buffer));
99 return OH_NN_SUCCESS;
100 }
101
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)102 OH_NN_ReturnCode ReduceMeanBuilder::Build(const std::vector<uint32_t>& paramsIndex,
103 const std::vector<uint32_t>& inputsIndex,
104 const std::vector<uint32_t>& outputsIndex,
105 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
106 {
107 if (m_isBuild) {
108 LOGE("[ReduceMean] Build failed, the ReduceMean operation has been build, cannot build again.");
109 return OH_NN_OPERATION_FORBIDDEN;
110 }
111
112 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
113 if (returnCode != OH_NN_SUCCESS) {
114 LOGE("[ReduceMean] Build failed, passed invalid input or output index of ReduceMean operation index.");
115 return returnCode;
116 }
117
118 m_inputsIndex = inputsIndex;
119 m_outputsIndex = outputsIndex;
120
121 returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
122 if (returnCode != OH_NN_SUCCESS) {
123 LOGE("[ReduceMean] Build failed, passed invalid param index of ReduceMean operation index.");
124 return returnCode;
125 }
126
127 for (uint32_t i : paramsIndex) {
128 std::shared_ptr<NNTensor> tensor = allTensors[i];
129 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
130 returnCode = (this->*(m_paramMap[tensor->GetType()]))(tensor);
131 } else {
132 LOGE("[ReduceMean] Build failed, param invalid, type=%d", tensor->GetType());
133 return OH_NN_INVALID_PARAMETER;
134 }
135
136 if (returnCode != OH_NN_SUCCESS) {
137 LOGE("[ReduceMean] Build failed, passed invalid param.");
138 return returnCode;
139 }
140 }
141
142 SetQuantType(outputsIndex, allTensors);
143
144 m_name = OP_NAME;
145 m_isBuild = true;
146 return OH_NN_SUCCESS;
147 }
148
GetPrimitive()149 LiteGraphPrimitvePtr ReduceMeanBuilder::GetPrimitive()
150 {
151 if (!m_isBuild) {
152 LOGE("[ReduceMean] GetPrimitive failed, cannot get primitive before call build.");
153 return {nullptr, DestroyLiteGraphPrimitive};
154 }
155
156 mindspore::lite::ReduceMode mode {mindspore::lite::REDUCE_MODE_MEAN};
157
158 void* primitive = mindspore::lite::MindIR_ReduceFusion_CreatePrimitive(m_keepDims, mode, m_reduceToEnd, m_coeff);
159 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
160 return graphPrimitivePtr;
161 }
162
163 REGISTER_OPS(ReduceMeanBuilder, OH_NN_OPS_REDUCE_MEAN);
164 } // namespace Ops
165 } // namespace NeuralNetworkRuntime
166 } // namespace OHOS