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Description
run code this way for imagenet:
python main.py -a alexnet --lr 0.01 [path]
Gets:
=> creating model 'alexnet'
Traceback (most recent call last):
File "main.py", line 314, in
main()
File "main.py", line 84, in main
model.cuda()
File "/mnt/home.stud/zakhairy/myPy/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 249, in cuda
return self._apply(lambda t: t.cuda(device))
File "/mnt/home.stud/zakhairy/myPy/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 176, in _apply
module._apply(fn)
File "/mnt/home.stud/zakhairy/myPy/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 176, in _apply
module._apply(fn)
File "/mnt/home.stud/zakhairy/myPy/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 176, in _apply
module._apply(fn)
File "/mnt/home.stud/zakhairy/myPy/local/lib/python2.7/site-packages/torch/nn/modules/module.py", line 182, in _apply
param.data = fn(param.data)
File "/mnt/home.stud/zakhairy/myPy/local/lib/python2.7/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.