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[WIP]Use TF hub supported models to do model testing #231
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| if __name__ == "__main__": | ||
| classification_model = ["mobilenetv2", "inceptionv3", "mobilenetv1","inception_resentv2","resnetv2","inceptionv1","pnasnet","nasnet"] | ||
| for model in classification_model: | ||
| compare(model, 100) |
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interesting, nasnet works. I found it to fail when I used a nascent from tf_cnn_benchmarks
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Tested all the TF hub image classification models, the output resultd' difference between Ngraph and CPU are less than 0.001.
Models that pass the test are: MobileNet_V2, Inception_v3, MobileNet_v1, Inception_ResNet_V2, ResNet_v2, Inception_V1, pnaset, and nasnet.