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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 "pad_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 = 2;
26 static const int OUTPUT_NUM = 1;
27 static const int SCALE_LENGTH = 1;
28 static const std::string OP_NAME = "Pad";
29 
PadBuilder()30 PadBuilder::PadBuilder() {}
31 
~PadBuilder()32 PadBuilder::~PadBuilder() {}
33 
SetConstantValue(std::shared_ptr<NNTensor> tensor)34 OH_NN_ReturnCode PadBuilder::SetConstantValue(std::shared_ptr<NNTensor> tensor)
35 {
36     tensor->IdentifyOpParameter();
37     if (tensor->GetElementCount() != SCALE_LENGTH) {
38         LOGE("[Pad] Pad SetConstantValue failed. The constant_value should be scaler.");
39         return OH_NN_INVALID_PARAMETER;
40     }
41 
42     if (tensor->GetDataType() != OH_NN_FLOAT32) {
43         LOGE("[Pad] Pad SetConstantValue failed. The constant_value should be type OH_NN_FLOAT32");
44         return OH_NN_INVALID_PARAMETER;
45     }
46 
47     void* buffer = tensor->GetBuffer();
48     if (buffer == nullptr) {
49         LOGE("[Pad] SetConstantValue failed, the constantValue passed an empty buffer.");
50         return OH_NN_INVALID_PARAMETER;
51     }
52 
53     m_constantValue = *static_cast<float*>(buffer);
54     return OH_NN_SUCCESS;
55 }
56 
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)57 OH_NN_ReturnCode PadBuilder::Build(const std::vector<uint32_t>& paramsIndex,
58                                    const std::vector<uint32_t>& inputsIndex,
59                                    const std::vector<uint32_t>& outputsIndex,
60                                    const std::vector<std::shared_ptr<NNTensor>>& allTensors)
61 {
62     if (m_isBuild) {
63         LOGE("[Pad] Pad Build failed. operation has been build, cannot build again.");
64         return OH_NN_OPERATION_FORBIDDEN;
65     }
66 
67     OH_NN_ReturnCode returnCode = CheckIOIndex(inputsIndex, outputsIndex, allTensors, INPUT_NUM, OUTPUT_NUM);
68     if (returnCode != OH_NN_SUCCESS) {
69         LOGE("[Pad] Pad Build failed. Passed invalid input or output index of Pad operation index.");
70         return returnCode;
71     }
72 
73     m_inputsIndex = inputsIndex;
74     m_outputsIndex = outputsIndex;
75 
76     for (int i : paramsIndex) {
77         std::shared_ptr<NNTensor> tensor = allTensors[i];
78         switch (tensor->GetType()) {
79             case OH_NN_PAD_CONSTANT_VALUE:
80                 returnCode = SetConstantValue(tensor);
81                 break;
82             default:
83                 LOGE("[Pad] Parameter Type is invalid, type=%d", tensor->GetType());
84                 return OH_NN_INVALID_PARAMETER;
85         }
86 
87         if (returnCode != OH_NN_SUCCESS) {
88             LOGE("[Pad] Pad Build failed. Passed invalid param.");
89             return returnCode;
90         }
91     }
92 
93     // The quantization type of the first output determinies that of the operator.
94     SetQuantType(outputsIndex, allTensors);
95 
96     m_name = OP_NAME;
97     m_isBuild = true;
98     return OH_NN_SUCCESS;
99 }
GetPrimitive()100 LiteGraphPrimitvePtr PadBuilder::GetPrimitive()
101 {
102     if (!m_isBuild) {
103         LOGE("[Pad] GetPrimitive failed. Cannot get primitive before call build.");
104         return {nullptr, DestroyLiteGraphPrimitive};
105     }
106 
107     mindspore::lite::PaddingMode padding_mode = mindspore::lite::PADDING_MODE_CONSTANT;
108     void* primitive = MindIR_PadFusion_CreatePrimitive(paddings, padding_mode, m_constantValue);
109     LiteGraphPrimitvePtr graphPrimitivePtr(primitive, DestroyLiteGraphPrimitive);
110     return graphPrimitivePtr;
111 }
112 
113 REGISTER_OPS(PadBuilder, OH_NN_OPS_PAD);
114 } // namespace Ops
115 } // namespace NeuralNetworkRuntime
116 } // namespcae OHOS