Traceback (most recent call last):


 "\venv\lib\site-packages\rasa\cli\x.py", line 500, in run_locally

domain_path=domain_path,


 "\venv\lib\site-packages\rasax\community\local.py", line 235, in main

project_path, data_path, session, args.port, config_path, domain_path


 "\venv\lib\site-packages\rasax\community\local.py", line 167, in _initialize_with_local_data

domain_path=domain_path,


 "C:\Users\vc6478\AppData\Local\Programs\Python\Python37\lib\asyncio\base_events.py", line 587, in run_until_complete

return future.result()


 "\venv\lib\site-packages\rasax\community\initialise.py", line 373, in inject_files_from_disk

username,


 "\venv\lib\site-packages\rasax\community\initialise.py", line 135, in inject_stories

story_files, team, project_id, username


 "\venv\lib\site-packages\rasax\community\services\story_service.py", line 553, in save_stories_from_files

is_test=is_test,


 "\venv\lib\site-packages\rasax\community\services\story_service.py", line 438, in save_stories

story_string, filename, domain, is_test


 "\venv\lib\site-packages\rasax\community\services\story_service.py", line 366, in _extract_stories_yaml

story_string, data.
Format.YAML, domain, filename, test_stories=is_test


 "\venv\lib\site-packages\rasax\community\services\story_service.py", line 216, in get_story_steps

"'{}'\nError: {}".format(story_string, e)
rasa.shared.core.training_data.story_reader.story_reader.StoryParseError

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)`
