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 "batch_to_space_nd_builder.h"
17
18 namespace OHOS {
19 namespace NeuralNetworkRuntime {
20 namespace Ops {
21 static const int INPUT_NUM = 1;
22 static const int OUTPUT_NUM = 1;
23 static const int PARAM_MAX_NUM = 2;
24 static const int CROPS_ROWS = 2;
25 static const int CROPS_COLUMN = 2;
26 static const std::string OP_NAME = "BatchToSpaceND";
27
BatchToSpaceNDBuilder()28 BatchToSpaceNDBuilder::BatchToSpaceNDBuilder() {}
29
~BatchToSpaceNDBuilder()30 BatchToSpaceNDBuilder::~BatchToSpaceNDBuilder() {}
31
SetInputBlock(const std::shared_ptr<NNTensor> & tensor)32 OH_NN_ReturnCode BatchToSpaceNDBuilder::SetInputBlock(const std::shared_ptr<NNTensor>& tensor)
33 {
34 tensor->IdentifyOpParameter();
35
36 if (tensor->GetDataType() != OH_NN_INT64) {
37 LOGE("[BatchToSpaceND] SetInputBlock failed, the BlockSize should be type OH_NN_INT64.");
38 return OH_NN_INVALID_PARAMETER;
39 }
40
41 void* buffer = tensor->GetBuffer();
42 if (buffer == nullptr) {
43 LOGE("[BatchToSpaceND] SetInputBlock GetBuffer return nullptr.");
44 return OH_NN_INVALID_PARAMETER;
45 }
46 int64_t* pBlockSize = static_cast<int64_t*>(buffer);
47
48 uint32_t elementCount = tensor->GetElementCount();
49 for (uint32_t i = 0; i < elementCount; ++i) {
50 m_blockSize.emplace_back(*pBlockSize);
51 ++pBlockSize;
52 }
53 return OH_NN_SUCCESS;
54 }
55
SetInputCrops(const std::shared_ptr<NNTensor> & tensor)56 OH_NN_ReturnCode BatchToSpaceNDBuilder::SetInputCrops(const std::shared_ptr<NNTensor>& tensor)
57 {
58 tensor->IdentifyOpParameter();
59
60 if (tensor->GetDataType() != OH_NN_INT64) {
61 LOGE("[BatchToSpaceND] SetInputCrops failed, the Crops should be type OH_NN_INT64.");
62 return OH_NN_INVALID_PARAMETER;
63 }
64
65 void* buffer = tensor->GetBuffer();
66 if (buffer == nullptr) {
67 LOGE("[BatchToSpaceND] SetInputCrops GetBuffer return nullptr.");
68 return OH_NN_INVALID_PARAMETER;
69 }
70 int64_t* pCropsData = static_cast<int64_t*>(buffer);
71
72 std::vector<std::vector<int64_t>> cropsData;
73 for (int i = 0; i < CROPS_ROWS; i++) {
74 std::vector<int64_t> vect_data;
75 vect_data.reserve(CROPS_COLUMN);
76 for (int j = 0; j < CROPS_COLUMN; j++) {
77 vect_data.push_back(*pCropsData++);
78 }
79 cropsData.push_back(vect_data);
80 }
81 m_crops = cropsData;
82
83 return OH_NN_SUCCESS;
84 }
85
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)86 OH_NN_ReturnCode BatchToSpaceNDBuilder::Build(const std::vector<uint32_t>& paramsIndex,
87 const std::vector<uint32_t>& inputsIndex, const std::vector<uint32_t>& outputsIndex,
88 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
89 {
90 if (m_isBuild) {
91 LOGE("[BatchToSpaceND] Build failed, operation has been build, cannot build again.");
92 return OH_NN_OPERATION_FORBIDDEN;
93 }
94
95 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
96 if (returnCode != OH_NN_SUCCESS) {
97 LOGE("[BatchToSpaceND] Build failed, passed invalid input or output index.");
98 return returnCode;
99 }
100
101 m_inputsIndex = inputsIndex;
102 m_outputsIndex = outputsIndex;
103
104 returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
105 if (returnCode != OH_NN_SUCCESS) {
106 LOGE("[BatchToSpaceND] Build failed, passed invalid param index.");
107 return returnCode;
108 }
109
110 for (int i : paramsIndex) {
111 std::shared_ptr<NNTensor> tensor = allTensors[i];
112 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
113 returnCode = (this->*(m_paramMap[tensor->GetType()]))(tensor);
114 } else {
115 LOGE("[BatchToSpaceND] Build failed, param invalid, type=%d", tensor->GetType());
116 return OH_NN_INVALID_PARAMETER;
117 }
118
119 if (returnCode != OH_NN_SUCCESS) {
120 LOGE("[BatchToSpaceND] Build failed, passed invalid param.");
121 return returnCode;
122 }
123 }
124
125 // The quantization type of the first output determinies that of the operator.
126 SetQuantType(outputsIndex, allTensors);
127
128 m_isBuild = true;
129 m_name = OP_NAME;
130 return OH_NN_SUCCESS;
131 }
132
GetPrimitive()133 LiteGraphPrimitvePtr BatchToSpaceNDBuilder::GetPrimitive()
134 {
135 if (!m_isBuild) {
136 LOGE("[BatchToSpaceND] Cannot get primitive before call build.");
137 return {nullptr, DestroyLiteGraphPrimitive};
138 }
139
140 void* primitive = mindspore::lite::MindIR_BatchToSpaceND_CreatePrimitive(m_blockSize, m_crops);
141 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
142 return graphPrimitivePtr;
143 }
144
145 REGISTER_OPS(BatchToSpaceNDBuilder, OH_NN_OPS_BATCH_TO_SPACE_ND);
146 } // namespace Ops
147 } // namespace NeuralNetworkRuntime
148 } // namespace OHOS
149