Traceback (most recent call last):


 "C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmp4k56gdgt\build\youtube_dl\YoutubeDL.py", line 784, in extract_info


 "C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmp4k56gdgt\build\youtube_dl\extractor\common.py", line 437, in extract


 "C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmp4k56gdgt\build\youtube_dl\extractor\common.py", line 395, in initialize


 "C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmp4k56gdgt\build\youtube_dl\extractor\udemy.py", line 140, in _real_initialize


 "C:\Users\dst\AppData\Roaming\Build archive\youtube-dl\rg3\tmp4k56gdgt\build\youtube_dl\extractor\udemy.py", line 180, in _login
youtube_dl.utils.ExtractorError: Unable to log in; please report this issue on https://yt-dl.org/bug . Make sure you are using the latest version; type
youtube-dl -U
to update. Be sure to call youtube-dl with the --verbose flag and include its complete output.

Traceback (most recent call last):


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/multiprocessing/pool.py", line 119, in worker

result = (True, func(*args, **kwds))


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/multiprocessing/pool.py", line 44, in mapstar

return list(map(*args))


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/site-packages/torchbiggraph/batching.py", line 83, in call

return f()


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/site-packages/torchbiggraph/batching.py", line 117, in process_in_batches

all_stats.append(batch_processor.process_one_batch(model, batch_edges))


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/site-packages/torchbiggraph/batching.py", line 160, in process_one_batch

return self._process_one_batch(model, batch_edges)


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/site-packages/torchbiggraph/train_cpu.py", line 105, in _process_one_batch

self.model_optimizer.step(closure=None)


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/site-packages/torch/autograd/grad_mode.py", line 43, in decorate_no_grad

return func(*args, **kwargs)


 "/home/mdl/nrc53/softwares/power-mc/anaconda3/envs/pytorch/lib/python3.6/site-packages/torchbiggraph/async_adagrad.py", line 76, in step

std = local_G.sqrt().add_(group["eps"])
KeyError: 'eps'
