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 "gelu_builder.h"
17
18 #include "mindir.h"
19 #include "ops_registry.h"
20
21 namespace OHOS {
22 namespace NeuralNetworkRuntime {
23 namespace Ops {
24 static const int INPUT_NUMS = 1;
25 static const int OUTPUT_NUMS = 1;
26 static const int PARAM_MAX_NUM = 1;
27 static const int SCALAR_LENGTH = 1;
28 static const std::string OP_NAME = "Gelu";
29
GeluBuilder()30 GeluBuilder::GeluBuilder() {}
31
~GeluBuilder()32 GeluBuilder::~GeluBuilder() {}
33
SetApproximate(const std::shared_ptr<NNTensor> & tensor)34 OH_NN_ReturnCode GeluBuilder::SetApproximate(const std::shared_ptr<NNTensor>& tensor)
35 {
36 if (tensor->GetDataType() != OH_NN_BOOL) {
37 LOGE("[GeLU] The approximate should be type OH_NN_BOOL.");
38 return OH_NN_INVALID_PARAMETER;
39 }
40
41 if (tensor->GetElementCount() != SCALAR_LENGTH) {
42 LOGE("[GeLU] The approximate should be scalar.");
43 return OH_NN_INVALID_PARAMETER;
44 }
45
46 void* buffer = tensor->GetBuffer();
47 if (buffer == nullptr) {
48 LOGE("[GeLU] Tensor buffer is nullptr.");
49 return OH_NN_INVALID_PARAMETER;
50 }
51 m_approximate = *(static_cast<bool*>(buffer));
52
53 return OH_NN_SUCCESS;
54 }
55
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)56 OH_NN_ReturnCode GeluBuilder::Build(const std::vector<uint32_t>& paramsIndex,
57 const std::vector<uint32_t>& inputsIndex,
58 const std::vector<uint32_t>& outputsIndex,
59 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
60 {
61 if (m_isBuild) {
62 LOGE("[Gelu] Build failed, operation has been build, cannot build again");
63 return OH_NN_OPERATION_FORBIDDEN;
64 }
65
66 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUMS, OUTPUT_NUMS);
67 if (returnCode != OH_NN_SUCCESS) {
68 LOGE("[Gelu] Build failed, passed invalid input or output indices.");
69 return returnCode;
70 }
71
72 returnCode = CheckParamIndex(paramsIndex, allTensors, PARAM_MAX_NUM);
73 if (returnCode != OH_NN_SUCCESS) {
74 LOGE("[Gelu] Build failed, passed invalid param indices.");
75 return returnCode;
76 }
77
78 for (int i : paramsIndex) {
79 std::shared_ptr<NNTensor> tensor = allTensors[i];
80 tensor->IdentifyOpParameter();
81 if (m_paramMap.find(tensor->GetType()) != m_paramMap.end()) {
82 returnCode = (this->*(m_paramMap[tensor->GetType()]))(tensor);
83 } else {
84 LOGE("[Gelu] Build failed, param invalid, type=%d", tensor->GetType());
85 return OH_NN_INVALID_PARAMETER;
86 }
87
88 if (returnCode != OH_NN_SUCCESS) {
89 LOGE("[Gelu] Build failed, passed invalid param.");
90 return returnCode;
91 }
92 }
93
94 m_inputsIndex = inputsIndex;
95 m_outputsIndex = outputsIndex;
96
97 m_isBuild = true;
98 m_name = OP_NAME;
99 return OH_NN_SUCCESS;
100 }
101
GetPrimitive()102 LiteGraphPrimitvePtr GeluBuilder::GetPrimitive()
103 {
104 if (!m_isBuild) {
105 LOGE("[Gelu] GetPrimitive failed, cannot get primitive before call build.");
106 return {nullptr, DestroyLiteGraphPrimitive};
107 }
108
109 mindspore::lite::ActivationType activationType = mindspore::lite::ACTIVATION_TYPE_GELU;
110 float alpha = 0.0f;
111 float minVal = 0.0f;
112 float maxVal = 0.0f;
113 void* primitive = mindspore::lite::MindIR_Activation_CreatePrimitive(activationType,
114 alpha, minVal, maxVal, m_approximate);
115 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
116 return graphPrimitivePtr;
117 }
118
119 REGISTER_OPS(GeluBuilder, OH_NN_OPS_GELU);
120 } // namespace Ops
121 } // namespace NeuralNetworkRuntime
122 } // namespace OHOS