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View Code? Open in Web Editor NEWBayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
License: Other
Bayesian Deep Learning for Remaining Useful Life Estimation of Machine Tool Components
License: Other
Hi, my computer is on windows, can the code you provided be run in pycharm or only in ubuntu?
Dataset: CMAPSS/FD001
Traceback (most recent call last):
File "train.py", line 162, in
MODEL = getattr(module, cls)(input_size).to(DEVICE)
File "models/frequentist_dense3.py", line 23, in init
nn.Linear(input_size[0] * input_size[1] * input_size[2], 100, bias=False),
File "/home/test/anaconda2/envs/bayesian-deep-rul/lib/python3.6/site-packages/torch/nn/modules/linear.py", line 77, in init
self.reset_parameters()
File "/home/test/anaconda2/envs/bayesian-deep-rul/lib/python3.6/site-packages/torch/nn/modules/linear.py", line 80, in reset_parameters
init.kaiming_uniform_(self.weight, a=math.sqrt(5))
File "/home/test/anaconda2/envs/bayesian-deep-rul/lib/python3.6/site-packages/torch/nn/init.py", line 316, in kaiming_uniform_
std = gain / math.sqrt(fan)
ZeroDivisionError: float division by zero
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