RuntimeError: torch.cuda.FloatTensor is not enabled.

[ehsanzare-zz]

Hi,

I get the following error when I ran the code on my Mac machine (no GPU):

---

INFO - 09/19/18 10:23:37 - 0:00:16 - ============ Building transformer attention model - Decoder ...
INFO - 09/19/18 10:23:37 - 0:00:16 - Sharing decoder input embeddings
INFO - 09/19/18 10:23:38 - 0:00:17 - Sharing decoder transformer parameters for layer 0
INFO - 09/19/18 10:23:38 - 0:00:17 - Sharing decoder transformer parameters for layer 1
INFO - 09/19/18 10:23:38 - 0:00:17 - Sharing decoder transformer parameters for layer 2
INFO - 09/19/18 10:23:38 - 0:00:18 - Sharing decoder projection matrices

Traceback (most recent call last):
File "main.py", line 242, in
encoder, decoder, discriminator, lm = build_mt_model(params, data)
File "/Users/Ehsan/Documents/Ehsan_General/HMQ/HMQ_Projects/UnSup_MT/UnsupervisedMT/NMT/src/model/init.py", line 98, in build_mt_model
return build_attention_model(params, data, cuda=cuda)
File "/Users/Ehsan/Documents/Ehsan_General/HMQ/HMQ_Projects/UnSup_MT/UnsupervisedMT/NMT/src/model/attention.py", line 801, in build_attention_model
encoder.cuda()
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 249, in cuda
return self._apply(lambda t: t.cuda(device))
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 176, in _apply
module._apply(fn)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 176, in _apply
module._apply(fn)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 182, in _apply
param.data = fn(param.data)
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/torch/nn/modules/module.py", line 249, in
return self._apply(lambda t: t.cuda(device))
RuntimeError: torch.cuda.FloatTensor is not enabled.

---

Is there any way that I can run this code on CPU?

Regards

[glample]

Hi,
People have tried to make it run on CPU, for instance https://github.com/facebookresearch/UnsupervisedMT/pull/9/files
Maybe you can have a look at this. Overall, removing all occurrences of .cuda() and replacing all occurrences of torch.cuda by torch should be enough.

[ehsanzare-zz]

Done. I follow https://github.com/facebookresearch/UnsupervisedMT/pull/9/files. Moreover, I also change the line 209 to:
if torch.cuda.is_available():
sent1, sent3 = sent1.cuda(), sent3.cuda()
Tnx

[mohammedayub44]

@ehsanzare I'm trying to run the same experiments , Did you benchmark on different no of CPU's . Just curious if it is linearly scalable.

Cheers.

Mohammed Ayub

[ehsanzare-zz]

No, I did not try that on no of CPU's.

[mohammedayub44]

@ehsanzare @glample I'm trying to run in in Windows, multiprocessing_event_loop.py file is giving error saying signal has no attribute SIGUR1 . Seems like Python multiprocessing is slightly different on Windows. For now, I have replaced all occurrences of SIGUR1 with SIGTERM and training seems to initiate fine. Not sure if this is the best solution to avoid this error.