I'm trying to run code that I wrote a week ago on Google Colab (and it worked), but I'm getting this error now for some reason.
#libraries
import torch
import torchvision
from torchvision import datasets, transforms
import torch.nn as nn
train_loader = torch.utils.data.DataLoader(
torchvision.datasets.MNIST(root='./data', train=True, download=True,
transform=torchvision.transforms.Compose([
torchvision.transforms.ToTensor(),
torchvision.transforms.Normalize(
(0.1307,), (0.3081,))
])),
batch_size=batch_size_train, shuffle=True)
test_loader = torch.utils.data.DataLoader(
torchvision.datasets.MNIST(root='./data', train=False, download=True,
transform=torchvision.transforms.Compose([
torchvision.transforms.ToTensor(),
torchvision.transforms.Normalize(
(0.1307,), (0.3081,))
])),
batch_size=batch_size_test, shuffle=True)
Output:
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./data/MNIST/raw/train-images-idx3-ubyte.gz
---------------------------------------------------------------------------
HTTPError Traceback (most recent call last)
<ipython-input-3-03d990013546> in <module>()
6 torchvision.transforms.ToTensor(),
7 torchvision.transforms.Normalize(
----> 8 (0.1307,), (0.3081,))
9 ])),
10 batch_size=batch_size_train, shuffle=True)
11 frames
/usr/lib/python3.7/urllib/request.py in http_error_default(self, req, fp, code, msg, hdrs)
647 class HTTPDefaultErrorHandler(BaseHandler):
648 def http_error_default(self, req, fp, code, msg, hdrs):
--> 649 raise HTTPError(req.full_url, code, msg, hdrs, fp)
650
651 class HTTPRedirectHandler(BaseHandler):
HTTPError: HTTP Error 503: Service Unavailable
I'm not entirely sure what's wrong. Could they have moved the dataset?
Update: Looks like you can't access the mnist dataset here anymore