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 "top_k_builder.h"
17
18 #include "mindir.h"
19
20 namespace OHOS {
21 namespace NeuralNetworkRuntime {
22 namespace Ops {
23 static const std::string OP_NAME = "TopK";
24 static const int INPUT_NUM = 2;
25 static const int OUTPUT_NUM = 2;
26 static const int PARAM_MAX_NUM = 2;
27 static const int SCALAR_LENGTH = 1;
28
TopKBuilder()29 TopKBuilder::TopKBuilder() {}
30
~TopKBuilder()31 TopKBuilder::~TopKBuilder() {}
32
SetSorted(const std::shared_ptr<NNTensor> & tensor)33 OH_NN_ReturnCode TopKBuilder::SetSorted(const std::shared_ptr<NNTensor>& tensor)
34 {
35 if (tensor->GetDataType() != OH_NN_BOOL) {
36 LOGE("[TopK] The sorted should be type OH_NN_BOOL.");
37 return OH_NN_INVALID_PARAMETER;
38 }
39
40 void* buffer = tensor->GetBuffer();
41 if (buffer == nullptr) {
42 LOGE("[TopK] Tensor buffer is nullptr.");
43 return OH_NN_INVALID_PARAMETER;
44 }
45 m_sorted = *(static_cast<const bool *>(buffer));
46
47 return OH_NN_SUCCESS;
48 }
49
SetAxis(const std::shared_ptr<NNTensor> & tensor)50 OH_NN_ReturnCode TopKBuilder::SetAxis(const std::shared_ptr<NNTensor>& tensor)
51 {
52 if (tensor->GetDataType() != OH_NN_INT64) {
53 LOGE("[TopK] The axis should be type OH_NN_INT64.");
54 return OH_NN_INVALID_PARAMETER;
55 }
56
57 if (tensor->GetElementCount() != SCALAR_LENGTH) {
58 LOGE("[TopK] The axis should be scalar.");
59 return OH_NN_INVALID_PARAMETER;
60 }
61
62 void* buffer = tensor->GetBuffer();
63 if (buffer == nullptr) {
64 LOGE("[TopK] Tensor buffer is nullptr.");
65 return OH_NN_INVALID_PARAMETER;
66 }
67 m_axis = *(static_cast<const int64_t*>(buffer));
68
69 return OH_NN_SUCCESS;
70 }
71
72 /**
73 * Build method.
74 * 1.build primitive of ops.
75 * 2.build inputIndex of ops.
76 * 3.build outputIndex of ops.
77 */
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)78 OH_NN_ReturnCode TopKBuilder::Build(const std::vector<uint32_t>& paramsIndex,
79 const std::vector<uint32_t>& inputsIndex,
80 const std::vector<uint32_t>& outputsIndex,
81 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
82 {
83 if (m_isBuild) {
84 LOGE("[TopK] Build operation has been completed, cannot build again.");
85 return OH_NN_OPERATION_FORBIDDEN;
86 }
87
88 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
89 if (returnCode != OH_NN_SUCCESS) {
90 LOGE("[TopK] Passed invalid input or output index.");
91 return returnCode;
92 }
93
94 m_inputsIndex = inputsIndex;
95 m_outputsIndex = outputsIndex;
96
97 returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
98 if (returnCode != OH_NN_SUCCESS) {
99 LOGE("[TopK] Passed invalid param index.");
100 return returnCode;
101 }
102
103 for (int i : paramsIndex) {
104 std::shared_ptr<NNTensor> tensor = allTensors[i];
105 tensor->IdentifyOpParameter();
106 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
107 returnCode = (this->*(m_paramMap[tensor->GetType()]))(tensor);
108 } else {
109 LOGE("[TopK] Build failed, param invalid, type=%d", tensor->GetType());
110 return OH_NN_INVALID_PARAMETER;
111 }
112
113 if (returnCode != OH_NN_SUCCESS) {
114 LOGE("[TopK] Passed invalid param.");
115 return returnCode;
116 }
117 }
118
119 m_name = OP_NAME;
120 m_isBuild = true;
121 return OH_NN_SUCCESS;
122 }
123
GetPrimitive()124 LiteGraphPrimitvePtr TopKBuilder::GetPrimitive()
125 {
126 if (!m_isBuild) {
127 LOGE("[TopK] Cannot get primitive before call build.");
128 return {nullptr, DestroyLiteGraphPrimitive};
129 }
130
131 auto primitive = mindspore::lite::MindIR_TopKFusion_CreatePrimitive(m_sorted, m_axis);
132 if (primitive == nullptr) {
133 LOGE("[TopK] MindIR_TopKFusion_CreatePrimitive failed.");
134 return {nullptr, DestroyLiteGraphPrimitive};
135 }
136
137 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
138 return graphPrimitivePtr;
139 }
140
141 REGISTER_OPS(TopKBuilder, OH_NN_OPS_TOP_K);
142 } // namespace Ops
143 } // namespace NeuralNetworkRuntime
144 } // namespace OHOS
145