Pysyft: Part 6 and Part 11 Tutorial - List index out of range

Created on 10 Jun 2019  路  9Comments  路  Source: OpenMined/PySyft

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:

  1. Launch the Jupyter Notebook containing Part 11 - Secure Deep Learning tutorial
  2. Run all cells up to the following one:
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)
    ))
  1. Run that cell
  2. See the error generated:

https://pastebin.com/cYfEMJ2H

Expected behavior
That the cell does indeed run
Screenshots
image
image

Desktop (please complete the following information):
Ubuntu 18.04 LTS
PySyft 0.1.17

Priority

Most helpful comment

Indeed I experience the same on colab. I'm looking at it

All 9 comments

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

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