Comments (5)
How long are your sequences? The position embeddings does not seem to contain enough positions. By default it contains 512 positions: https://github.com/facebookresearch/XLM/blob/master/src/model/transformer.py#L17
Try to replace this value by 1024 if you are using larger sequences, it should fix the issue.
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Yes, thank you! There was a long sentence in the next batch, so I've filtered out sentences that are too long now. It's all running fine again!
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How long are your sequences? The position embeddings does not seem to contain enough positions. By default it contains 512 positions: https://github.com/facebookresearch/XLM/blob/master/src/model/transformer.py#L17
Try to replace this value by 1024 if you are using larger sequences, it should fix the issue.
Thank you for this, I was struggling with this issue for long.
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Do you have the full traceback?
This looks like some out of bounds error, i.e. there is a word index which is higher than the number of embeddings or something. Can you try to add CUDA_LAUNCH_BLOCKING=1
in front of your command to have a more detailed error message? If you can try to run the model on CPU you would probably get a more explicit error message as well.
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Yes, here's the traceback (from CUDA_LAUNCH_BLOCKING=1
:
Traceback (most recent call last):
File "/home/username/tools/XLM/translate.py", line 150, in <module>
main(params)
File "/home/username/tools/XLM/translate.py", line 115, in main
encoded = encoder('fwd', x=batch.cuda(), lengths=lengths.cuda(), langs=langs.cuda(), causal=False)
File "/home/username/local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__
result = self.forward(*input, **kwargs)
File "/home/username/tools/XLM/src/model/transformer.py", line 311, in forward
return self.fwd(**kwargs)
File "/home/username/tools/XLM/src/model/transformer.py", line 369, in fwd
tensor = tensor + self.position_embeddings(positions).expand_as(tensor)
RuntimeError: CUDA error: device-side assert triggered
Could this be due to the way unknown words are handled?
Thank you!
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