Traceback (most recent call last):


 "training_nli.py", line 103, in <module>

model.fit(train_objectives=[(train_dataloader, train_loss)],


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/sentence_transformers/SentenceTransformer.py", line 561, in fit

loss_value = loss_model(features, labels)


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/sentence_transformers/losses/SoftmaxLoss.py", line 59, in forward

reps = [self.model(sentence_feature)['sentence_embedding'] for sentence_feature in sentence_features]


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/sentence_transformers/losses/SoftmaxLoss.py", line 59, in <listcomp>

reps = [self.model(sentence_feature)['sentence_embedding'] for sentence_feature in sentence_features]


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/container.py", line 119, in forward

input = module(input)


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/sentence_transformers/models/Transformer.py", line 40, in forward

output_states = self.auto_model(**trans_features, return_dict=False)


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/transformers/models/bert/modeling_bert.py", line 966, in forward

encoder_outputs = self.encoder(


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/transformers/models/bert/modeling_bert.py", line 567, in forward

layer_outputs = layer_module(


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/transformers/models/bert/modeling_bert.py", line 455, in forward

self_attention_outputs = self.attention(


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/transformers/models/bert/modeling_bert.py", line 386, in forward

self_outputs = self.self(


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/transformers/models/bert/modeling_bert.py", line 252, in forward

mixed_query_layer = self.query(hidden_states)


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl

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


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/modules/linear.py", line 94, in forward

return F.linear(input, self.weight, self.bias)


 "/home/ayhan/anaconda3/envs/sbert/lib/python3.8/site-packages/torch/nn/functional.py", line 1753, in linear

return torch._C._nn.linear(input, weight, bias)
RuntimeError: CUDA error: CUBLAS_STATUS_INTERNAL_ERROR when calling `cublasCreate(handle)`

Traceback (most recent call last):


 "/usr/local/bin/youtube-dl/youtube_dl/YoutubeDL.py", line 796, in extract_info

ie_result = ie.extract(url)


 "/usr/local/bin/youtube-dl/youtube_dl/extractor/common.py", line 530, in extract

ie_result = self._real_extract(url)


 "/usr/local/bin/youtube-dl/youtube_dl/extractor/vice.py", line 119, in _real_extract

'app state'), video_id)['video']


 "/usr/local/bin/youtube-dl/youtube_dl/extractor/common.py", line 903, in _parse_json

raise ExtractorError(errmsg, cause=ve)
ExtractorError: 5e0f6ad0dc45817cb5357bb1: Failed to parse JSON
(caused by ValueError('No JSON object could be decoded',)); 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.