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-rw-r--r--tests/TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp6
1 files changed, 3 insertions, 3 deletions
diff --git a/tests/TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp b/tests/TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp
index 84d5292195..0ba1e5dc00 100644
--- a/tests/TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp
+++ b/tests/TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp
@@ -34,10 +34,10 @@ int main(int argc, char* argv[])
retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType,
ParserType>(
argc, argv,
- "vgg_16_u8_batch1.tflite", // model name
+ "vgg_16_int8.tflite", // model name
true, // model is binary
- "content_vgg/concat", // input tensor name
- "content_vgg/prob", // output tensor name
+ "input", // input tensor name
+ "vgg_16/fc8/squeezed", // output tensor name
{ 0, 1, 2 }, // test images to test with as above
[&imageSet](const char* dataDir, const ModelType & model) {
// we need to get the input quantization parameters from