* Changed expected predictions for TfLiteVGG16Quantized-Armnn.cpp
* Changed expected predictions for TfLiteMobileNetQuantizedSoftmax-Armnn
Change-Id: I3fe0bd3f6e44655b14b10887bc40fb0df31f81c8
Signed-off-by: FinnWilliamsArm <Finn.Williams@arm.com>
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 });
// Coverity fix: The following code may throw an exception of type std::length_error.
std::vector<ImageSet> imageSet =
{
- // The model we are using incorrectly classifies everything as class 699
+ // The model we are using incorrectly classifies the images
// But can still be used for benchmarking the layers.
- {"Dog.jpg", 669},
- {"Cat.jpg", 669},
- {"shark.jpg", 669},
+ {"Dog.jpg", 178},
+ {"Cat.jpg", 39},
+ {"shark.jpg", 598},
};
armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 });