From 9aed8fb43441228343b925b42464a55042c47ca0 Mon Sep 17 00:00:00 2001 From: Nikhil Raj Date: Wed, 17 Nov 2021 13:16:45 +0000 Subject: IVGCVSW-6040 Update 21.11 Doxygen Documents Signed-off-by: Nikhil Raj Change-Id: Ia36ec98c4bebc27a69103911ea3409cd7db587a5 --- 21.11/_tf_lite_mnas_net-_armnn_8cpp_source.xhtml | 122 +++++++++++++++++++++++ 1 file changed, 122 insertions(+) create mode 100644 21.11/_tf_lite_mnas_net-_armnn_8cpp_source.xhtml (limited to '21.11/_tf_lite_mnas_net-_armnn_8cpp_source.xhtml') diff --git a/21.11/_tf_lite_mnas_net-_armnn_8cpp_source.xhtml b/21.11/_tf_lite_mnas_net-_armnn_8cpp_source.xhtml new file mode 100644 index 0000000000..8afda1e1a3 --- /dev/null +++ b/21.11/_tf_lite_mnas_net-_armnn_8cpp_source.xhtml @@ -0,0 +1,122 @@ + + + + + + + + + + + + + +ArmNN: tests/TfLiteMnasNet-Armnn/TfLiteMnasNet-Armnn.cpp Source File + + + + + + + + + + + + + + + + +
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TfLiteMnasNet-Armnn.cpp
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+Go to the documentation of this file.
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 
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 }
+ + +
ITfLiteParser.hpp
+
armnn::DataType
DataType
Definition: Types.hpp:35
+
armnn::test::ClassifierInferenceTestMain
int ClassifierInferenceTestMain(int argc, char *argv[], const char *modelFilename, bool isModelBinary, const char *inputBindingName, const char *outputBindingName, const std::vector< unsigned int > &defaultTestCaseIds, TConstructDatabaseCallable constructDatabase, const armnn::TensorShape *inputTensorShape=nullptr)
Definition: InferenceTest.inl:362
+
main
int main(int argc, char *argv[])
Definition: TfLiteMnasNet-Armnn.cpp:11
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