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 "onehot_builder.h"
17
18 #include "mindir.h"
19
20 #include "frameworks/native/ops_registry.h"
21
22 namespace OHOS {
23 namespace NeuralNetworkRuntime {
24 namespace Ops {
25 static const int INPUT_NUM = 4;
26 static const int OUTPUT_NUM = 1;
27 static const std::string OP_NAME = "Onehot";
28
OnehotBuilder()29 OnehotBuilder::OnehotBuilder() {}
30
~OnehotBuilder()31 OnehotBuilder::~OnehotBuilder() {}
32
SetAxis(std::shared_ptr<NNTensor> tensor)33 OH_NN_ReturnCode OnehotBuilder::SetAxis(std::shared_ptr<NNTensor> tensor)
34 {
35 tensor->IdentifyOpParameter();
36 if (tensor->GetDataType() != OH_NN_INT64) {
37 LOGE("[Onehot] Onehot SetAxis failed. The axis 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("[Onehot] SetAxis failed, the axis passed a empty buffer.");
44 return OH_NN_INVALID_PARAMETER;
45 }
46
47 m_axis = *static_cast<int64_t*>(buffer);
48 return OH_NN_SUCCESS;
49 }
50
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)51 OH_NN_ReturnCode OnehotBuilder::Build(const std::vector<uint32_t>& paramsIndex,
52 const std::vector<uint32_t>& inputsIndex,
53 const std::vector<uint32_t>& outputsIndex,
54 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
55 {
56 if (m_isBuild) {
57 LOGE("[Onehot] Onehot build failed. operation has been build, cannot build again.");
58 return OH_NN_OPERATION_FORBIDDEN;
59 }
60
61 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
62 if (returnCode != OH_NN_SUCCESS) {
63 LOGE("[Onehot] Onehot build failed. Passed invalid input or output index of Onehot operation index.");
64 return returnCode;
65 }
66
67 m_inputsIndex = inputsIndex;
68 m_outputsIndex = outputsIndex;
69
70 for (int i : paramsIndex) {
71 std::shared_ptr<NNTensor> tensor = allTensors[i];
72 switch (tensor->GetType()) {
73 case OH_NN_ONE_HOT_AXIS:
74 returnCode = SetAxis(tensor);
75 break;
76 default:
77 LOGE("[Onehot] Parameter Type is invalid, type=%d", tensor->GetType());
78 return OH_NN_INVALID_PARAMETER;
79 }
80
81 if (returnCode != OH_NN_SUCCESS) {
82 LOGE("[Onehot] Onehot Build failed. Passed invalid param.");
83 return returnCode;
84 }
85 }
86
87 m_name = OP_NAME;
88 m_isBuild = true;
89 return OH_NN_SUCCESS;
90 }
91
GetPrimitive()92 LiteGraphPrimitvePtr OnehotBuilder::GetPrimitive()
93 {
94 if (!m_isBuild) {
95 LOGE("[Onehot] Onehot GetPrimitive failed. Cannot get primitive before call build.");
96 return {nullptr, DestroyLiteGraphPrimitive};
97 }
98
99 void* primitive = mindspore::lite::MindIR_OneHot_CreatePrimitive(m_axis);
100 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
101 return graphPrimitivePtr;
102 }
103
104 REGISTER_OPS(OnehotBuilder, OH_NN_OPS_ONE_HOT);
105 } // namespace Ops
106 } // namespace NeuralNetworkRuntime
107 } // OHOS