Modernize data tutorial to torchvision v2 API (#3863)

Fixes ##3852

## Description
Replace deprecated ToTensor() with v2.Compose([v2.ToImage(),
v2.ToDtype(torch.float32, scale=True)]) in both the training and test
FashionMNIST splits, and switch the import to the v2 namespace.

## Checklist
<!--- Make sure to add `x` to all items in the following checklist: -->
- [x] The issue that is being fixed is referred in the description (see
above "Fixes #ISSUE_NUMBER")
- [x] Only one issue is addressed in this pull request
- [ ] Labels from the issue that this PR is fixing are added to this
pull request
- [x] No unnecessary issues are included into this pull request.


cc @subramen

Co-authored-by: sekyondaMeta <127536312+sekyondaMeta@users.noreply.github.com>

Author: omkar-334

beginner_source/basics/data_tutorial.py

@@ -48,22 +48,22 @@
 import torch
 from torch.utils.data import Dataset
 from torchvision import datasets
-from torchvision.transforms import ToTensor
+from torchvision.transforms import v2
 import matplotlib.pyplot as plt
 
 
 training_data = datasets.FashionMNIST(
     root="data",
     train=True,
     download=True,
-    transform=ToTensor()
+    transform=v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)])
 )
 
 test_data = datasets.FashionMNIST(
     root="data",
     train=False,
     download=True,
-    transform=ToTensor()
+    transform=v2.Compose([v2.ToImage(), v2.ToDtype(torch.float32, scale=True)])
 )