ModuleNotFoundError: No module named 'demo' about lightning HOT 3 CLOSED

fixed! try again

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wait... fixing again

from lightning.

Hi William,
@williamFalcon
After change the path,
One more when cuda training...

simon@simon-X299:~/Desktop/pytorch-lightning/demo$ python fully_featured_trainer.py
RUNNING MULTI GPU. GPU ids: ['0']
loading model...
running on gpu...
model built
gpu available: True, used: False
Name Type Params
0 c_d1 Linear 392500
1 c_d1_bn BatchNorm1d 1000
2 c_d1_drop Dropout 0
3 c_d2 Linear 5010
validating...
Caught exception in worker thread expected type torch.FloatTensor but got torch.cuda.FloatTensor
Traceback (most recent call last):
File "/home/simon/anaconda3/lib/python3.6/site-packages/test_tube/argparse_hopt.py", line 29, in optimize_parallel_gpu_private
results = train_function(trial_params)
File "fully_featured_trainer.py", line 36, in main_local
main(hparams, None, None)
File "fully_featured_trainer.py", line 105, in main
trainer.fit(model)
File "/home/simon/anaconda3/lib/python3.6/site-packages/pytorch_lightning/models/trainer.py", line 223, in fit
_ = self.validate(model, self.val_dataloader, max_batches=self.nb_sanity_val_steps)
File "/home/simon/anaconda3/lib/python3.6/site-packages/pytorch_lightning/models/trainer.py", line 154, in validate
for i, data_batch in enumerate(dataloader):
File "/home/simon/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 615, in next
batch = self.collate_fn([self.dataset[i] for i in indices])
File "/home/simon/anaconda3/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 615, in
batch = self.collate_fn([self.dataset[i] for i in indices])
File "/home/simon/anaconda3/lib/python3.6/site-packages/torchvision/datasets/mnist.py", line 95, in getitem
img = self.transform(img)
File "/home/simon/anaconda3/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 60, in call
img = t(img)
File "/home/simon/anaconda3/lib/python3.6/site-packages/torchvision/transforms/transforms.py", line 163, in call
return F.normalize(tensor, self.mean, self.std, self.inplace)
File "/home/simon/anaconda3/lib/python3.6/site-packages/torchvision/transforms/functional.py", line 208, in normalize
tensor.sub_(mean[:, None, None]).div_(std[:, None, None])
RuntimeError: expected type torch.FloatTensor but got torch.cuda.FloatTensor

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