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authorDavid Monahan <david.monahan@arm.com>2019-04-23 10:54:34 +0100
committerRuomei Yan <ruomei.yan@arm.com>2019-04-23 10:53:23 +0000
commitdc2797928dd0945f351445ba8d3be11b40376dd0 (patch)
tree4ce6f0597620a785d7abc2ba91039362ececb838
parent4de9f67c91b9224f447bd4a50b67129064b8c824 (diff)
downloadarmnn-dc2797928dd0945f351445ba8d3be11b40376dd0.tar.gz
IVGCVSW-2657: Model update to fix failing timings test: TfLiteVGG16Quantized
Signed-off-by: David Monahan <david.monahan@arm.com> Change-Id: I49bd93766f8f3cf41a9471c87c1c61ed1ec6034c
-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