SmoothAdversarialTraining
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Inference with Tensorflow-gpu 1.15.4
I got into trouble when test ResNet/inference-example.py
and EfficientNet/eval_ckpt_main.py
.
It seems that there are missing args to define a ResNetModel (like group, activation_name etc), but after I added them, it still raise:
ValueError: The custom_gradient decorator currently supports keywords arguments only when eager execution is enabled.
As for EfficientNet/eval_ckpt_main.py
, it raise:
ModuleNotFoundError: No module named 'condconv'
and there is a similiar issue https://github.com/qubvel/efficientnet/issues/79