From dc2797928dd0945f351445ba8d3be11b40376dd0 Mon Sep 17 00:00:00 2001 From: David Monahan Date: Tue, 23 Apr 2019 10:54:34 +0100 Subject: IVGCVSW-2657: Model update to fix failing timings test: TfLiteVGG16Quantized Signed-off-by: David Monahan Change-Id: I49bd93766f8f3cf41a9471c87c1c61ed1ec6034c --- tests/TfLiteVGG16Quantized-Armnn/TfLiteVGG16Quantized-Armnn.cpp | 6 +++--- 1 file 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( 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 -- cgit v1.2.1