diff options
Diffstat (limited to 'tests/TfLiteResNetV2-50-Quantized-Armnn/TfLiteResNetV2-50-Quantized-Armnn.cpp')
| -rw-r--r-- | tests/TfLiteResNetV2-50-Quantized-Armnn/TfLiteResNetV2-50-Quantized-Armnn.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/TfLiteResNetV2-50-Quantized-Armnn/TfLiteResNetV2-50-Quantized-Armnn.cpp b/tests/TfLiteResNetV2-50-Quantized-Armnn/TfLiteResNetV2-50-Quantized-Armnn.cpp index a4d0a0123f..03510f715d 100644 --- a/tests/TfLiteResNetV2-50-Quantized-Armnn/TfLiteResNetV2-50-Quantized-Armnn.cpp +++ b/tests/TfLiteResNetV2-50-Quantized-Armnn/TfLiteResNetV2-50-Quantized-Armnn.cpp @@ -21,7 +21,7 @@ int main(int argc, char* argv[]) }; - armnn::TensorShape inputTensorShape({ 1, 299, 299, 3 }); + armnn::TensorShape inputTensorShape({ 1, 224, 224, 3 }); using DataType = uint8_t; using DatabaseType = ImagePreprocessor<DataType>; @@ -32,7 +32,7 @@ int main(int argc, char* argv[]) retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>( argc, argv, - "quant_resnet_v2_50_model.tflite", // model name + "resnet_v2_50_default_minmax.tflite", // model name true, // model is binary "input", // input tensor name "output", // output tensor name @@ -43,8 +43,8 @@ int main(int argc, char* argv[]) auto inputBinding = model.GetInputBindingInfo(); return DatabaseType( dataDir, - 299, - 299, + 224, + 224, imageSet, inputBinding.second.GetQuantizationScale(), inputBinding.second.GetQuantizationOffset()); |