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 "relu_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_NUMS = 1;
26 static const int OUTPUT_NUMS = 1;
27 static const std::string OP_NAME = "Relu";
28
ReluBuilder()29 ReluBuilder::ReluBuilder() {}
30
~ReluBuilder()31 ReluBuilder::~ReluBuilder() {}
32
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)33 OH_NN_ReturnCode ReluBuilder::Build(const std::vector<uint32_t>& paramsIndex,
34 const std::vector<uint32_t>& inputsIndex,
35 const std::vector<uint32_t>& outputsIndex,
36 const std::vector<std::shared_ptr<NNTensor>>& allTensors)
37 {
38 if (m_isBuild) {
39 LOGE("[Relu] Build failed, the Relu operation has been build, cannot build again.");
40 return OH_NN_OPERATION_FORBIDDEN;
41 }
42
43 OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUMS, OUTPUT_NUMS);
44 if (returnCode != OH_NN_SUCCESS) {
45 LOGE("[Relu] Build failed, passed invalid input or output indices.");
46 return returnCode;
47 }
48
49 if (!paramsIndex.empty()) {
50 LOGW("[Relu] Build failed, the Relu expects no parameters, but receive %zu", paramsIndex.size());
51 return OH_NN_INVALID_PARAMETER;
52 }
53
54 m_inputsIndex = inputsIndex;
55 m_outputsIndex = outputsIndex;
56
57 SetQuantType(outputsIndex, allTensors);
58
59 m_isBuild = true;
60 m_name = OP_NAME;
61 return OH_NN_SUCCESS;
62 }
63
GetPrimitive()64 LiteGraphPrimitvePtr ReluBuilder::GetPrimitive()
65 {
66 if (!m_isBuild) {
67 LOGE("[Relu] GetPrimitive failed, cannot get primitive before call build.");
68 return {nullptr, DestroyLiteGraphPrimitive};
69 }
70
71 float alpha{0.0f};
72 float minVal{0.0f};
73 float maxVal{0.0f};
74 bool approximate{false};
75 mindspore::lite::ActivationType activationType{mindspore::lite::ACTIVATION_TYPE_RELU};
76
77 void* primitive = mindspore::lite::MindIR_Activation_CreatePrimitive(activationType, alpha,
78 minVal, maxVal, approximate);
79
80 LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
81 return graphPrimitivePtr;
82 }
83
84 REGISTER_OPS(ReluBuilder, OH_NN_OPS_RELU);
85 } // namespace Ops
86 } // namespace NeuralNetworkRuntime
87 } // namespace OHOS
88