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File "dense_correspondence/training/training_script_gdon.py", line 39, in <module>
train.run()
File "/home/jkopanski/code/dense_correspondence/training/training.py", line 401, in run
reliability_a, reliability_b)
File "/home/jkopanski/code/dense_correspondence/loss_functions/ap_loss.py", line 129, in get_loss_with_reliability
ap_score = self(descriptors1, descriptors2, dataset_item)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "/home/jkopanski/code/dense_correspondence/loss_functions/ap_loss.py", line 116, in forward
ap_score = self.aploss(scores, ground_truth)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "/home/jkopanski/code/dense_correspondence/loss_functions/ap_loss.py", line 56, in forward
return self.compute_AP(x, label)
File "/home/jkopanski/code/dense_correspondence/loss_functions/ap_loss.py", line 43, in compute_AP
q = self.quantizer(x.squeeze(0).unsqueeze(1))
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/module.py", line 493, in __call__
result = self.forward(*input, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/torch/nn/modules/conv.py", line 196, in forward
self.padding, self.dilation, self.groups)
RuntimeError('cuDNN error: CUDNN_STATUS_BAD_PARAM',)
The text was updated successfully, but these errors were encountered:
SAN-951
The text was updated successfully, but these errors were encountered: