Describe the bug
Part 11 Tutorial breaks when running cell n. 5
See also related issue #2243
Edit Error for torchvision >0.2.2
To Reproduce
Steps to reproduce the behavior:
test_loader = torch.utils.data.DataLoader(
datasets.MNIST('../data', train=False,
transform=transforms.Compose([
transforms.ToTensor(),
transforms.Normalize((0.1307,), (0.3081,))
])),
batch_size=args.test_batch_size, shuffle=True)
private_test_loader = []
for data, target in test_loader:
private_test_loader.append((
data.fix_precision().share(alice, bob, crypto_provider=crypto_provider),
target.fix_precision().share(alice, bob, crypto_provider=crypto_provider)
))
Expected behavior
That the cell does indeed run
Screenshots


Desktop (please complete the following information):
Ubuntu 18.04 LTS
PySyft 0.1.17
Hello @DanyEle,
you can see the discussion here:
https://openmined.slack.com/archives/C6EEFN3A8/p1559737323042400?thread_ts=1559737323.042400
relate to issue 1893 here.
I encounter the same problem as you do :).
Hello @DanyEle,
you can see the discussion here:
https://openmined.slack.com/archives/C6EEFN3A8/p1559737323042400?thread_ts=1559737323.042400
relate to issue 1893 here.
I encounter the same problem as you do :).
I confirm that issue also happens to me in Tutorial Part 6.
And i was wondering if i am just to dump to get everything right... got the same Problem on any Tutorial which uses the MNIST Dataset.
Hey, can you confirm you don't have a gpu or cuda?
I use Google Colab.
Indeed I experience the same on colab. I'm looking at it
Hey, can you confirm you don't have a gpu or cuda?
I have a GPU and CUDA installed, but even when disabling CUDA, this still happens.
Hey, can you confirm you don't have a gpu or cuda?
I do not have an external GPU.
Specs:
Memory: 15,4 GiB
Processor: Intel Core i7-7500U CPU @ 2.70GHz x 4
Graphics: Intel HD Graphics 620 (Kaby Lake GT2)
OS: Ubuntu 18.10 64 Bit
Completly fresh installation with Anaconda and pip.
The error is related to the torchvision 0.3.0 version.
Will edit a fix for it
Most helpful comment
Indeed I experience the same on colab. I'm looking at it