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Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan Iter: 42690 Training Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan Iter: 42700 Training Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan Iter: 42710 Training Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan Iter: 42720 Training Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan Iter: 42730 Training Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan Iter: 42740 Training Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan Iter: 42750 Training Loss: nan Negative Log Likelihood: nan Sigma2 Prior: nan Regularization: nan ^CTraceback (most recent call last): File "train_uirnn.py", line 92, in main() File "train_uirnn.py", line 88, in main diarization_experiment(model_args, training_args, inference_args) File "train_uirnn.py", line 46, in diarization_experiment model.fit(seqs, cluster_ids, training_args) File "/home/thanh/meeting-minutes-google/uisrnn/uisrnn.py", line 512, in fit concatenated_train_sequence, concatenated_train_cluster_id, args) File "/home/thanh/meeting-minutes-google/uisrnn/uisrnn.py", line 445, in fit_concatenated loss.backward() File "/home/thanh/anaconda3/lib/python3.7/site-packages/torch/tensor.py", line 107, in backward torch.autograd.backward(self, gradient, retain_graph, create_graph) File "/home/thanh/anaconda3/lib/python3.7/site-packages/torch/autograd/__init__.py", line 93, in backward allow_unreachable=True) # allow_unreachable flag KeyboardInterrupt (base) thanh@vfa-red:~/meeting-minutes-google$