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Did not go on training #35
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Thanks,it work!!But it's thread still can't be found exist with the command 'nvidia-smi' |
Can not figure out it :( |
@hhhwww123 The code in branch |
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Thanks a lot to help me solve the ‘run slave’ .However, there is a new issue happen:
/home/weizhaoxiang/anaconda3/envs/pytorch1.0/lib/python3.6/site-packages/torch/nn/_reduction.py:43: UserWarning: size_average and reduce args will be deprecated, please use reduction='mean' instead.
warnings.warn(warning.format(ret))
Using poly LR Scheduler!
Starting Epoch: 0
Total Epoches: 240
0%| | 0/371 [00:00<?, ?it/s]
=>Epoches 0, learning rate = 0.0050, previous best = 0.0000
/home/weizhaoxiang/anaconda3/envs/pytorch1.0/lib/python3.6/site-packages/torch/nn/functional.py:2390: UserWarning: nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.
warnings.warn("nn.functional.upsample is deprecated. Use nn.functional.interpolate instead.")
problem.
After the print, the code did not go on training or break, just stop at here. And you can not check there is a thread exist with the command 'nvidia-smi'.
How to solve the problem??
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