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Thanks for providing this code. It seems really helpful for my current research.
However, I am having issues with making this code work. I have setup the environment as suggested but still able to load the pre-trained models (both extractive and abstractive models).
Extractive Model gives error in line assert ext_meta['net'] == 'ml_rnn_extractor'. Looking at the meta.json file, net:rnn-ext_abs_rl. I am not sure why is this discrepancy.
For abstractive model, I face RuntimeError: CUDNN_STATUS_EXECUTION_FAILED error in line self._net = abstractor.to(self._device). I am not sure how to solve this error. I made sure that CUDA is available. Also, it is not the OOM memory as suggested in some of the pages since the GPU memory never exceeds 1 GB.
It would be great if you could help me out.
Thanks,
Naman
The text was updated successfully, but these errors were encountered:
Hello Chen,
Thanks for providing this code. It seems really helpful for my current research.
However, I am having issues with making this code work. I have setup the environment as suggested but still able to load the pre-trained models (both extractive and abstractive models).
assert ext_meta['net'] == 'ml_rnn_extractor'
. Looking at themeta.json
file,net:rnn-ext_abs_rl
. I am not sure why is this discrepancy.RuntimeError: CUDNN_STATUS_EXECUTION_FAILED
error in lineself._net = abstractor.to(self._device)
. I am not sure how to solve this error. I made sure that CUDA is available. Also, it is not the OOM memory as suggested in some of the pages since the GPU memory never exceeds 1 GB.It would be great if you could help me out.
Thanks,
Naman
The text was updated successfully, but these errors were encountered: