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path: root/tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp
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Diffstat (limited to 'tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp')
-rw-r--r--tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp6
1 files changed, 4 insertions, 2 deletions
diff --git a/tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp b/tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp
index 70828498df..f193a9870a 100644
--- a/tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp
+++ b/tests/TfLiteMobileNetQuantizedSoftmax-Armnn/TfLiteMobileNetQuantizedSoftmax-Armnn.cpp
@@ -14,11 +14,13 @@ int main(int argc, char* argv[])
try
{
// Coverity fix: The following code may throw an exception of type std::length_error.
+ // The model we are using incorrectly classifies the images
+ // But can still be used for benchmarking the layers.
std::vector<ImageSet> imageSet =
{
- {"Dog.jpg", 795},
+ {"Dog.jpg", 789},
{"Cat.jpg", 592},
- {"shark.jpg", 436},
+ {"shark.jpg", 755},
};
armnn::TensorShape inputTensorShape({ 1, 128, 128, 3 });