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authorsurmeh01 <surabhi.mehta@arm.com>2018-09-05 17:09:22 +0100
committerMatthew Bentham <matthew.bentham@arm.com>2018-09-25 14:54:29 +0100
commit57f1e2076391288f964491104dfe9561733dbb3b (patch)
tree8d51a43794aeeb9d9158fb813b51494d1b1709f3 /tests
parentf195f03e095a5c4dc6880be11af64cab83b5c94b (diff)
downloadarmnn-57f1e2076391288f964491104dfe9561733dbb3b.tar.gz
IVGCVSW-1808 : Updated the network used from Official Tf(http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224.tgz)
Change-Id: I3a07d7a161c8ac81c6a94cc0b3557ee7fa5e48e5
Diffstat (limited to 'tests')
-rw-r--r--tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
index 3d57666b58..44bbb70989 100644
--- a/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
+++ b/tests/TfMobileNet-Armnn/TfMobileNet-Armnn.cpp
@@ -50,9 +50,9 @@ int main(int argc, char* argv[])
// Coverity fix: ClassifierInferenceTestMain() may throw uncaught exceptions.
retVal = armnn::test::ClassifierInferenceTestMain<DatabaseType, ParserType>(
argc, argv,
- "mobilenet_v1_1.0_224_fp32.pb", // model name
+ "mobilenet_v1_1.0_224_frozen.pb", // model name
true, // model is binary
- "input", "output", // input and output tensor names
+ "input", "MobilenetV1/Predictions/Reshape_1", // input and output tensor names
{ 0, 1, 2 }, // test images to test with as above
[&imageSet](const char* dataDir, const ModelType&) {
// This creates a 224x224x3 NHWC float tensor to pass to Armnn