Traceback (most recent call last):

 "/home/lbr/bin/youtube-dl/youtube_dl/YoutubeDL.py", line 643, in extract_info
ie_result = ie.extract(url)

 "/home/lbr/bin/youtube-dl/youtube_dl/extractor/common.py", line 269, in extract
return self._real_extract(url)

 "/home/lbr/bin/youtube-dl/youtube_dl/extractor/escapist.py", line 45, in _real_extract
r'<param name="flashvars" value="config=([^"&]+)', webpage, 'config URL'))

 "/home/lbr/bin/youtube-dl/youtube_dl/extractor/common.py", line 551, in _html_search_regex
res = self._search_regex(pattern, string, name, default, fatal, flags, group)

 "/home/lbr/bin/youtube-dl/youtube_dl/extractor/common.py", line 541, in _search_regex
raise RegexNotFoundError('Unable to extract %s' % _name)RegexNotFoundError: Unable to extract config URL; 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):


 "tools/train.py", line 286, in <module>

main()


 "tools/train.py", line 251, in main

device)


 "HRNet-Semantic-Segmentation/tools/../lib/core/function.py", line 57, in train

losses, _ = model(images, labels)


 "lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "lib/python3.6/site-packages/torch/nn/parallel/distributed.py", line 447, in forward

output = self.module(*inputs[0], **kwargs[0])


 "lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "HRNet-Semantic-Segmentation/tools/../lib/utils/utils.py", line 34, in forward

outputs = self.model(inputs)


 "lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "HRNet-Semantic-Segmentation/tools/../lib/models/seg_hrnet.py", line 418, in forward

x = self.layer1(x)


 "lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "lib/python3.6/site-packages/torch/nn/modules/container.py", line 100, in forward

input = module(input)


 "lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "HRNet-Semantic-Segmentation/tools/../lib/models/seg_hrnet.py", line 94, in forward

out = self.bn3(out)


 "lib/python3.6/site-packages/torch/nn/modules/module.py", line 532, in __call__

result = self.forward(*input, **kwargs)


 "lib/python3.6/site-packages/torch/nn/modules/batchnorm.py", line 466, in forward

exponential_average_factor, self.eps)


 "lib/python3.6/site-packages/torch/nn/functional.py", line 1670, in batch_norm

training, momentum, eps, torch.backends.cudnn.enabled
RuntimeError: CUDA out of memory. Tried to allocate 1.56 GiB (GPU 0; 10.76 GiB total capacity; 8.01 GiB already allocated; 760.56 MiB free; 8.23 GiB reserved in total by PyTorch)
