1 /*
2 * Copyright (c) 2023 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 "unstack_builder.h"
17
18 namespace OHOS {
19 namespace NeuralNetworkRuntime {
20 namespace Ops {
21 static const int INPUT_NUM = 1;
22 static const int OUTPUT_MIN_NUM = 1;
23 static const int PARAM_MAX_NUM = 1;
24 static const int SCALAR_LENGTH = 1;
25 static const std::string OP_NAME = "Unstack";
26
UnstackBuilder()27 UnstackBuilder::UnstackBuilder() {}
28
~UnstackBuilder()29 UnstackBuilder::~UnstackBuilder() {}
30
SetAxis(const std::shared_ptr<NNTensor> & tensor)31 OH_NN_ReturnCode UnstackBuilder::SetAxis(const std::shared_ptr<NNTensor>& tensor)
32 {
33 if (tensor->GetDataType() != OH_NN_INT64) {
34 LOGE("[Unstack] The axis should be type OH_NN_INT64.");
35 return OH_NN_INVALID_PARAMETER;
36 }
37
38 if (tensor->GetElementCount() != SCALAR_LENGTH) {
39 LOGE("[Unstack] The axis should be scalar.");
40 return OH_NN_INVALID_PARAMETER;
41 }
42
43 void* buffer = tensor->GetBuffer();
44 if (buffer == nullptr) {
45 LOGE("[Unstack] Tensor buffer is nullptr.");
46 return OH_NN_INVALID_PARAMETER;
47 }
48 m_axis = *(static_cast<const int64_t*>(buffer));
49
50 return OH_NN_SUCCESS;
51 }
52
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)53 OH_NN_ReturnCode UnstackBuilder::Build(const std::vector<uint32_t>& paramsIndex,
54 const std::vector<uint32_t>& inputsIndex,
55 const std::vector<uint32_t>& outputsIndex,
56 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
57 {
58 if (m_isBuild) {
59 LOGE("[Unstack] Build failed, the Unstack operation has been build. cannot build again.");
60 return OH_NN_OPERATION_FORBIDDEN;
61 }
62
63 if (inputsIndex.size() != INPUT_NUM) {
64 LOGE("[Unstack] The number of index of inputs don't equal to %d.", INPUT_NUM);
65 return OH_NN_INVALID_PARAMETER;
66 }
67
68 if (outputsIndex.size() < OUTPUT_MIN_NUM) {
69 LOGE("[Unstack] The number of index of outputs don't larger than %d.", OUTPUT_MIN_NUM);
70 return OH_NN_INVALID_PARAMETER;
71 }
72
73 size_t allTensorsSize = allTensors.size();
74 bool isOverTensorSize = std::any_of(inputsIndex.begin(), inputsIndex.end(), [allTensorsSize](uint32_t index) {
75 return index >= allTensorsSize;
76 });
77 if (isOverTensorSize) {
78 LOGE("[Unstack] The index of inputs is out of range.");
79 return OH_NN_INVALID_PARAMETER;
80 }
81
82 isOverTensorSize = std::any_of(outputsIndex.begin(), outputsIndex.end(), [allTensorsSize](uint32_t index) {
83 return index >= allTensorsSize;
84 });
85 if (isOverTensorSize) {
86 LOGE("[Unstack] The index of outputs is out of range.");
87 return OH_NN_INVALID_PARAMETER;
88 }
89
90 m_inputsIndex = inputsIndex;
91 m_outputsIndex = outputsIndex;
92
93 auto returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
94 if (returnCode != OH_NN_SUCCESS) {
95 LOGE("[Unstack] Passed invalid param index.");
96 return returnCode;
97 }
98
99 for (int i : paramsIndex) {
100 std::shared_ptr<NNTensor> tensor = allTensors[i];
101 tensor->IdentifyOpParameter();
102 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
103 returnCode = (this->*(m_paramMap[tensor->GetType()]))(tensor);
104 } else {
105 LOGE("[Unstack] Build failed, param invalid, type=%d", tensor->GetType());
106 return OH_NN_INVALID_PARAMETER;
107 }
108
109 if (returnCode != OH_NN_SUCCESS) {
110 LOGE("[Unstack] Build failed, passed invalid param.");
111 return returnCode;
112 }
113 }
114
115 m_name = OP_NAME;
116 m_isBuild = true;
117 return OH_NN_SUCCESS;
118 }
119
GetPrimitive()120 LiteGraphPrimitvePtr UnstackBuilder::GetPrimitive()
121 {
122 if (!m_isBuild) {
123 LOGE("[Unstack] GetPrimitive failed, cannot get primitive before call build.");
124 return {nullptr, DestroyLiteGraphPrimitive};
125 }
126
127 void* primitive = mindspore::lite::MindIR_Unstack_CreatePrimitive(m_axis);
128 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive) ;
129 return graphPrimitivePtr;
130 }
131
132 REGISTER_OPS(UnstackBuilder, OH_NN_OPS_UNSTACK);
133 } // namespace Ops
134 } // namespace NeuralNetworkRuntime
135 } // namespace OHOS
136