I'm currently at Tesla. I'm interested in probabilistic machine learning and computer vision.
tonyduan / rs4a Goto Github PK
View Code? Open in Web Editor NEWRandomized Smoothing of All Shapes and Sizes (ICML 2020).
Randomized Smoothing of All Shapes and Sizes (ICML 2020).
I'm currently at Tesla. I'm interested in probabilistic machine learning and computer vision.
The code is not compatible with the provided pertained imagenet models, in that it does not provide required 'norm' and 'log_sig' elements in the state_dict. I think this must be due to a change in the normalization technique used since training. Could you provide information/code for the original normalization method? Thanks.
bash-4.2$ python3 -m src.test --output-dir=imagenet --dataset-skip=1000 --noise=Uniform --sigma 0.5 --experiment-name=imagenet_uniform_0.5 --model ResNet --noise-batch-size=128 --save-path=imagenet/imagenet_uniform_0.5/imagenet_uniform_050.pt --dataset imagenet /nfshomes/alevine0/.local/lib/python3.7/site-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead. import pandas.util.testing as tm Traceback (most recent call last): File "/home/alevine0/miniconda3/lib/python3.7/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/home/alevine0/miniconda3/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/alevine0/rs4a/src/test.py", line 59, in <module> model.load_state_dict(saved_dict) File "/home/alevine0/miniconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 1045, in load_state_dict self.__class__.__name__, "\n\t".join(error_msgs))) RuntimeError: Error(s) in loading state_dict for ResNet: Missing key(s) in state_dict: "norm.module.mu", "norm.module.log_sig".
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