AssertionError: Torch not compiled with CUDA enabled

[geledek]

I was testing ./courses/dl1/lesson1.ipynb on macOS 10.12.6, Python 3.6, torch 0.2.0

while running learn = ConvLearner.pretrained(resnet34, data, precompute=True)

AssertionError Traceback (most recent call last)
in ()
1 data = ImageClassifierData.from_paths(PATH, tfms=tfms_from_model(resnet34, 299))
----> 2 learn = ConvLearner.pretrained(resnet34, data, precompute=True)
3 # learn.fit(0.01, 2)
/Users/user/fastai/courses/dl1/fastai/conv_learner.py in pretrained(self, f, data, ps, xtra_fc, xtra_cut, **kwargs)
87 @classmethod
88 def pretrained(self, f, data, ps=None, xtra_fc=None, xtra_cut=0, **kwargs):
---> 89 models = ConvnetBuilder(f, data.c, data.is_multi, data.is_reg, ps=ps, xtra_fc=xtra_fc, xtra_cut=xtra_cut)
90 return self(data, models, **kwargs)
91
/Users/user/fastai/courses/dl1/fastai/conv_learner.py in init(self, f, c, is_multi, is_reg, ps, xtra_fc, xtra_cut)
40 fc_layers = self.get_fc_layers()
41 self.n_fc = len(fc_layers)
---> 42 self.fc_model = nn.Sequential(fc_layers).cuda()
43 apply_init(self.fc_model, kaiming_normal)
44 self.model=nn.Sequential((layers+fc_layers)).cuda()
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/nn/modules/module.py in cuda(self, device_id)
145 copied to that device
146 """
--> 147 return self._apply(lambda t: t.cuda(device_id))
148
149 def cpu(self):
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/nn/modules/module.py in _apply(self, fn)
116 def _apply(self, fn):
117 for module in self.children():
--> 118 module._apply(fn)
119
120 for param in self._parameters.values():
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/nn/modules/module.py in _apply(self, fn)
122 # Variables stored in modules are graph leaves, and we don't
123 # want to create copy nodes, so we have to unpack the data.
--> 124 param.data = fn(param.data)
125 if param._grad is not None:
126 param._grad.data = fn(param._grad.data)
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/nn/modules/module.py in (t)
145 copied to that device
146 """
--> 147 return self._apply(lambda t: t.cuda(device_id))
148
149 def cpu(self):
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/_utils.py in cuda(self, device, async)
64 else:
65 new_type = getattr(torch.cuda, self.class.name)
---> 66 return new_type(self.size()).copy(self, async)
67
68
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/cuda/init.py in _lazy_new(cls, *args, **kwargs)
264 @staticmethod
265 def _lazy_new(cls, *args, **kwargs):
--> 266 _lazy_init()
267 # We need this method only for lazy init, so we can remove it
268 del _CudaBase.new
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/cuda/init.py in _lazy_init()
82 raise RuntimeError(
83 "Cannot re-initialize CUDA in forked subprocess. " + msg)
---> 84 _check_driver()
85 torch._C._cuda_init()
86 torch._C._cuda_sparse_init()
/Users/user/anaconda2/envs/py3/lib/python3.6/site-packages/torch/cuda/init.py in _check_driver()
49 def _check_driver():
50 if not hasattr(torch._C, '_cuda_isDriverSufficient'):
---> 51 raise AssertionError("Torch not compiled with CUDA enabled")
52 if not torch._C._cuda_isDriverSufficient():
53 if torch._C._cuda_getDriverVersion() == 0:
AssertionError: Torch not compiled with CUDA enabled

[tensorcopy]

Did you install pytorch with cuda?

[trusty]

@sampathweb you changes which were merged yesterday fixes this?