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 "concat_builder.h"
17
18 namespace OHOS {
19 namespace NeuralNetworkRuntime {
20 namespace Ops {
21 static constexpr int MINIMUM_INTPUT = 2;
22 static constexpr int OUTPUT_NUM = 1;
23 static constexpr int AXIS_LENGTH = 1;
24 static const std::string OP_NAME = "Concat";
25
ConcatBuilder()26 ConcatBuilder::ConcatBuilder() {}
27
~ConcatBuilder()28 ConcatBuilder::~ConcatBuilder() {}
29
SetAxis(std::shared_ptr<NNTensor> tensor)30 OH_NN_ReturnCode ConcatBuilder::SetAxis(std::shared_ptr<NNTensor> tensor)
31 {
32 tensor->IdentifyOpParameter();
33
34 if (tensor->GetElementCount() != AXIS_LENGTH) {
35 LOGE("[Concat] SetAxis failed, the Activation shoule be a scalar");
36 return OH_NN_INVALID_PARAMETER;
37 }
38
39 if (tensor->GetDataType() != OH_NN_INT64) {
40 LOGE("[Concat] SetAxis failed, the axis should be type OH_NN_INT64.");
41 return OH_NN_INVALID_PARAMETER;
42 }
43
44 void* buffer = tensor->GetBuffer();
45 if (buffer == nullptr) {
46 LOGE("[Concat] SetAxis GetBuffer return nullptr.");
47 return OH_NN_INVALID_PARAMETER;
48 }
49 m_axis = *(static_cast<int64_t*>(buffer));
50
51 return OH_NN_SUCCESS;
52 }
53
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)54 OH_NN_ReturnCode ConcatBuilder::Build(const std::vector<uint32_t>& paramsIndex,
55 const std::vector<uint32_t>& inputsIndex, const std::vector<uint32_t>& outputsIndex,
56 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
57 {
58 if (m_isBuild) {
59 LOGE("[Concat] Build failed, operation has been build, cannot build again.");
60 return OH_NN_OPERATION_FORBIDDEN;
61 }
62
63 if (inputsIndex.size() < MINIMUM_INTPUT) {
64 LOGE("[Concat] Build failed, Concat need more than one inputs.");
65 return OH_NN_INVALID_PARAMETER;
66 }
67
68 if (outputsIndex.size() != OUTPUT_NUM) {
69 LOGE("[Concat] Build failed, The number of index of outputs not equal to 1.");
70 return OH_NN_INVALID_PARAMETER;
71 }
72
73 OH_NN_ReturnCode returnCode = SetInputsAndOutputs(inputsIndex, outputsIndex, allTensors);
74 if (returnCode != OH_NN_SUCCESS) {
75 LOGE("[Concat] Build failed, set inputs or outputs failed.");
76 return returnCode;
77 }
78
79 for (int i : paramsIndex) {
80 std::shared_ptr<NNTensor> tensor = allTensors[i];
81 switch (tensor->GetType()) {
82 case OH_NN_CONCAT_AXIS:
83 returnCode = SetAxis(tensor);
84 break;
85 default:
86 LOGE("[Concat] Build failed, param invalid, type = %d.", tensor->GetType());
87 return OH_NN_INVALID_PARAMETER;
88 }
89 if (returnCode != OH_NN_SUCCESS) {
90 LOGE("[Concat] Build failed, passed invalid param.");
91 return returnCode;
92 }
93 }
94
95 // The quantization type of the first output determinies that of the operator.
96 SetQuantType(outputsIndex, allTensors);
97
98 m_isBuild = true;
99 m_name = OP_NAME;
100 return OH_NN_SUCCESS;
101 }
102
SetInputsAndOutputs(const std::vector<uint32_t> & inputsIndex,const std::vector<uint32_t> & outputsIndex,const std::vector<std::shared_ptr<NNTensor>> & allTensors)103 OH_NN_ReturnCode ConcatBuilder::SetInputsAndOutputs(const std::vector<uint32_t>& inputsIndex,
104 const std::vector<uint32_t>& outputsIndex,
105 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
106 {
107 size_t allTensorsSize = allTensors.size();
108 for (auto index : inputsIndex) {
109 if (index >= allTensorsSize) {
110 LOGE("[Concat] Invalid input index, it is out of range %zu.", allTensorsSize);
111 return OH_NN_INVALID_PARAMETER;
112 }
113 }
114
115 for (auto index : outputsIndex) {
116 if (index >= allTensorsSize) {
117 LOGE("[Concat] Invalid output index, it is out of range %zu.", allTensorsSize);
118 return OH_NN_INVALID_PARAMETER;
119 }
120 }
121
122 m_inputsIndex.clear();
123 m_inputsIndex = inputsIndex;
124
125 m_outputsIndex.clear();
126 m_outputsIndex = outputsIndex;
127
128 return OH_NN_SUCCESS;
129 }
130
GetPrimitive()131 LiteGraphPrimitvePtr ConcatBuilder::GetPrimitive()
132 {
133 if (!m_isBuild) {
134 LOGE("[Concat] GetPrimitive failed, cannot get primitive before call build.");
135 return {nullptr, DestroyLiteGraphPrimitive};
136 }
137
138 void* primitive = mindspore::lite::MindIR_Concat_CreatePrimitive(m_axis);
139 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
140 return graphPrimitivePtr;
141 }
142
143 REGISTER_OPS(ConcatBuilder, OH_NN_OPS_CONCAT);
144 } // namespace Ops
145 } // namespace NeuralNetworkRuntime
146 } // namespace OHOS