From 6940dd720ebb6b3d1df8ca203ab696daefe58189 Mon Sep 17 00:00:00 2001 From: Jim Flynn Date: Fri, 20 Mar 2020 12:25:56 +0000 Subject: renamed Documentation folder 20.02 and added .nojekyll file Signed-off-by: Jim Flynn --- ...assarmnn_1_1test_1_1_classifier_test_case.xhtml | 275 +++++++++++++++++++++ 1 file changed, 275 insertions(+) create mode 100644 20.02/classarmnn_1_1test_1_1_classifier_test_case.xhtml (limited to '20.02/classarmnn_1_1test_1_1_classifier_test_case.xhtml') diff --git a/20.02/classarmnn_1_1test_1_1_classifier_test_case.xhtml b/20.02/classarmnn_1_1test_1_1_classifier_test_case.xhtml new file mode 100644 index 0000000000..0bb1c36737 --- /dev/null +++ b/20.02/classarmnn_1_1test_1_1_classifier_test_case.xhtml @@ -0,0 +1,275 @@ + + + + + + + + + + + + + +ArmNN: ClassifierTestCase< TTestCaseDatabase, TModel > Class Template Reference + + + + + + + + + + + + + + + + +
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+  20.02 +
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+Public Member Functions | +List of all members
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ClassifierTestCase< TTestCaseDatabase, TModel > Class Template Reference
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#include <InferenceTest.hpp>

+
+Inheritance diagram for ClassifierTestCase< TTestCaseDatabase, TModel >:
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+
+ + +InferenceModelTestCase< TModel > +IInferenceTestCase + +
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+Public Member Functions

 ClassifierTestCase (int &numInferencesRef, int &numCorrectInferencesRef, const std::vector< unsigned int > &validationPredictions, std::vector< unsigned int > *validationPredictionsOut, TModel &model, unsigned int testCaseId, unsigned int label, std::vector< typename TModel::DataType > modelInput)
 
virtual TestCaseResult ProcessResult (const InferenceTestOptions &params) override
 
- Public Member Functions inherited from InferenceModelTestCase< TModel >
 InferenceModelTestCase (TModel &model, unsigned int testCaseId, const std::vector< TContainer > &inputs, const std::vector< unsigned int > &outputSizes)
 
virtual void Run () override
 
- Public Member Functions inherited from IInferenceTestCase
virtual ~IInferenceTestCase ()
 
+ + + + + + + + + +

+Additional Inherited Members

- Public Types inherited from InferenceModelTestCase< TModel >
using TContainer = boost::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > >
 
- Protected Member Functions inherited from InferenceModelTestCase< TModel >
unsigned int GetTestCaseId () const
 
const std::vector< TContainer > & GetOutputs () const
 
+

Detailed Description

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template<typename TTestCaseDatabase, typename TModel>
+class armnn::test::ClassifierTestCase< TTestCaseDatabase, TModel >

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Definition at line 149 of file InferenceTest.hpp.

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Constructor & Destructor Documentation

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◆ ClassifierTestCase()

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ClassifierTestCase (int & numInferencesRef,
int & numCorrectInferencesRef,
const std::vector< unsigned int > & validationPredictions,
std::vector< unsigned int > * validationPredictionsOut,
TModel & model,
unsigned int testCaseId,
unsigned int label,
std::vector< typename TModel::DataType > modelInput 
)
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+ +

Definition at line 33 of file InferenceTest.inl.

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References armnn::Dequantize, and armnn::IgnoreUnused().

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42  : InferenceModelTestCase<TModel>(
43  model, testCaseId, std::vector<TContainer>{ modelInput }, { model.GetOutputSize() })
44  , m_Label(label)
45  , m_QuantizationParams(model.GetQuantizationParams())
46  , m_NumInferencesRef(numInferencesRef)
47  , m_NumCorrectInferencesRef(numCorrectInferencesRef)
48  , m_ValidationPredictions(validationPredictions)
49  , m_ValidationPredictionsOut(validationPredictionsOut)
50 {
51 }
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Member Function Documentation

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◆ ProcessResult()

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TestCaseResult ProcessResult (const InferenceTestOptions & params)
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Implements IInferenceTestCase.

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Definition at line 116 of file InferenceTest.inl.

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References ARMNN_LOG, armnn::error, armnn::test::Failed, InferenceModelTestCase< TModel >::GetOutputs(), InferenceModelTestCase< TModel >::GetTestCaseId(), armnn::info, InferenceTestOptions::m_IterationCount, armnn::numeric_cast(), and armnn::test::Ok.

+
117 {
118  auto& output = this->GetOutputs()[0];
119  const auto testCaseId = this->GetTestCaseId();
120 
121  ClassifierResultProcessor resultProcessor(m_QuantizationParams.first, m_QuantizationParams.second);
122  boost::apply_visitor(resultProcessor, output);
123 
124  ARMNN_LOG(info) << "= Prediction values for test #" << testCaseId;
125  auto it = resultProcessor.GetResultMap().rbegin();
126  for (int i=0; i<5 && it != resultProcessor.GetResultMap().rend(); ++i)
127  {
128  ARMNN_LOG(info) << "Top(" << (i+1) << ") prediction is " << it->second <<
129  " with value: " << (it->first);
130  ++it;
131  }
132 
133  unsigned int prediction = 0;
134  boost::apply_visitor([&](auto&& value)
135  {
136  prediction = boost::numeric_cast<unsigned int>(
137  std::distance(value.begin(), std::max_element(value.begin(), value.end())));
138  },
139  output);
140 
141  // If we're just running the defaultTestCaseIds, each one must be classified correctly.
142  if (params.m_IterationCount == 0 && prediction != m_Label)
143  {
144  ARMNN_LOG(error) << "Prediction for test case " << testCaseId << " (" << prediction << ")" <<
145  " is incorrect (should be " << m_Label << ")";
146  return TestCaseResult::Failed;
147  }
148 
149  // If a validation file was provided as input, it checks that the prediction matches.
150  if (!m_ValidationPredictions.empty() && prediction != m_ValidationPredictions[testCaseId])
151  {
152  ARMNN_LOG(error) << "Prediction for test case " << testCaseId << " (" << prediction << ")" <<
153  " doesn't match the prediction in the validation file (" << m_ValidationPredictions[testCaseId] << ")";
154  return TestCaseResult::Failed;
155  }
156 
157  // If a validation file was requested as output, it stores the predictions.
158  if (m_ValidationPredictionsOut)
159  {
160  m_ValidationPredictionsOut->push_back(prediction);
161  }
162 
163  // Updates accuracy stats.
164  m_NumInferencesRef++;
165  if (prediction == m_Label)
166  {
167  m_NumCorrectInferencesRef++;
168  }
169 
170  return TestCaseResult::Ok;
171 }
armnn::test::InferenceModelTestCase::GetOutputs
const std::vector< TContainer > & GetOutputs() const
Definition: InferenceTest.hpp:139
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ARMNN_LOG
#define ARMNN_LOG(severity)
Definition: Logging.hpp:163
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armnn::numeric_cast
std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)
Definition: NumericCast.hpp:33
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armnn::test::TestCaseResult::Ok
The test completed without any errors.
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The documentation for this class was generated from the following files: +
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