xref: /aosp_15_r20/external/armnn/tests/TfLiteMnasNet-Armnn/TfLiteMnasNet-Armnn.cpp (revision 89c4ff92f2867872bb9e2354d150bf0c8c502810)
1 //
2 // Copyright © 2017 Arm Ltd. All rights reserved.
3 // SPDX-License-Identifier: MIT
4 //
5 #include "../InferenceTest.hpp"
6 #include "../ImagePreprocessor.hpp"
7 #include "armnnTfLiteParser/ITfLiteParser.hpp"
8 
9 using namespace armnnTfLiteParser;
10 
main(int argc,char * argv[])11 int main(int argc, char* argv[])
12 {
13     int retVal = EXIT_FAILURE;
14     try
15     {
16         // Coverity fix: The following code may throw an exception of type std::length_error.
17         std::vector<ImageSet> imageSet =
18         {
19             {"Dog.jpg", 209},
20             {"Cat.jpg", 283},
21             {"shark.jpg", 3},
22         };
23 
24         armnn::TensorShape inputTensorShape({ 2, 224, 224, 3 });
25 
26         using DataType = float;
27         using DatabaseType = ImagePreprocessor<DataType>;
28         using ParserType = armnnTfLiteParser::ITfLiteParser;
29         using ModelType = InferenceModel<ParserType, DataType>;
30 
31         // Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
32         retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType,
33                                                           ParserType>(
34                      argc, argv,
35                      "mnasnet_1.3_224.tflite",            // model name
36                      true,                                // model is binary
37                      "input",                             // input tensor name
38                      "output",                            // output tensor name
39                      { 0, 1, 2 },                         // test images to test with as above
40                      [&imageSet](const char* dataDir, const ModelType &) {
41                          return DatabaseType(
42                              dataDir,
43                              224,
44                              224,
45                              imageSet,
46                              127.5f,
47                              {0.5f,0.5f,0.5f});
48                      },
49                      &inputTensorShape);
50     }
51     catch (const std::exception& e)
52     {
53         // Coverity fix: BOOST_LOG_TRIVIAL (typically used to report errors) may throw an
54         // exception of type std::length_error.
55         // Using stderr instead in this context as there is no point in nesting try-catch blocks here.
56         std::cerr << "WARNING: " << *argv << ": An error has occurred when running "
57                      "the classifier inference tests: " << e.what() << std::endl;
58     }
59     return retVal;
60 }
61