pytorch / pytorch/vision

FashionMNIST Download issue

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module: datasets needs reproduction
Dominant language
Python
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Description

🐛 Bug

Unable to download MNIST Dataset as per pytorch Documentation

https://pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html

To Reproduce

import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor, Lambda, Compose
import matplotlib.pyplot as plt

training_data = datasets.FashionMNIST(
    root="data",
    train=True,
    download=True,
    transform=ToTensor(),
)

Error message is below

Downloading http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/train-images-idx3-ubyte.gz
Failed to download (trying next):
<urlopen error [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond>
RuntimeError                              Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_8408/1648373759.py in <module>
      6 import matplotlib.pyplot as plt
      7 
----> 8 training_data = datasets.FashionMNIST(
      9     root="data",
     10     train=True,

G:\ineuronai\o\envs\odtf\lib\site-packages\torchvision\datasets\mnist.py in __init__(self, root, train, transform, target_transform, download)
     83 
     84         if download:
---> 85             self.download()
     86 
     87         if not self._check_exists():

G:\ineuronai\o\envs\odtf\lib\site-packages\torchvision\datasets\mnist.py in download(self)
    167                 break
    168             else:
--> 169                 raise RuntimeError("Error downloading {}".format(filename))
    170 
    171         # process and save as torch files

RuntimeError: Error downloading train-images-idx3-ubyte.gz

Expected behavior

cc @fmassa @vfdev-5 @pmeier @brianjo @mruberry

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by checking the FashionMNIST implementation in torchvision/datasets/mnist.py and reproducing the download from the tutorial. Compare the failing URL and expected extraction paths with the current dataset behavior; done means establishing whether the issue is actionable in torchvision or depends on the external download service.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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