Comments (4)
I had the same problem when running the NMT model using CPU pytorch. Running with GPU works.
from unsupervisedmt.
I am using CPU PyTorch. Is there any solution?
from unsupervisedmt.
I did some code changes (see Pull request), but it seems those are not enough (crashed at evaluation phase). You may need to do more changes if you want to be CPU-only.
from unsupervisedmt.
I'll close this issue, as it seems related to the loading of the CUDA library and not the code of the NMT model itself. Feel free to re-open it if you think the problem is coming from this repo.
from unsupervisedmt.
Related Issues (20)
- why MemoryError
- Why codes file is empty.? HOT 4
- for different language, where to make change?
- How to train NMT + PBSMT ?
- UnboundLocalError: local variable 'n_words' referenced before assignment
- About number of shared layers
- RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [14, 32, 1536]], which is output 0 of AddBackward0, is at version 2; expected version 1 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True). HOT 1
- How to run PBSMT +NMT ?
- transformer multihead attention scaling layer error
- Setting the random seed does not result in same outputs across runs
- I have trouble when run get_data_enfr.sh
- How can I modify the code to train may own dataset on specific language?
- Low utilization rate of cuda HOT 1
- How to train the vector of phrases
- Low BLEU on PBSMT HOT 3
- bpe_end issue
- Getting raise EOFError() while executing Linux Command through Netmiko
- How i can run MUSE alignment in .sh
- How to train the model without para_dataset
- Error in runny bash command. HOT 2
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