module 'torch' has no attribute 'frombuffer' in Google Colab
data_root = os.path.join(os.getcwd(), &quot;data&quot;)
transform = transforms.Compose(
[
 transforms.ToTensor(),
 transforms.Normalize([0.5], [0.5]),
]
)
fashion_mnist_dataset = FashionMNIST(data_root, download = True, train = True, transform = transform)

Error Message

/usr/local/lib/python3.7/dist-packages/torchvision/datasets/mnist.py in read_sn3_pascalvincent_tensor(path, strict)
524     # we need to reverse the bytes before we can read them with torch.frombuffer().
525     needs_byte_reversal = sys.byteorder == &quot;little&quot; and num_bytes_per_value &gt; 1
--&gt; 526     parsed = torch.frombuffer(bytearray(data), dtype=torch_type, offset=(4 * (nd + 1)))
527     if needs_byte_reversal:
528         parsed = parsed.flip(0)
AttributeError: module 'torch' has no attribute 'frombuffer'

what can i do for this err in Colab

I tried your code in my Google Colab by adding the codes (to import the libraries) below, but it works well without errors.
import os
from torchvision import transform
from torchvision.datasets import FashionMNIST

I used

torchvision   0.13.0+cu113
google-colab   1.0.0
Runtime GPU   (when I set &quot;None,&quot; it also works)

Do you get errors when you also use the same codes above? Do you use another versions?
