vgg16-cifar10 - on Macbook Pro 16 M2 Pro

[ITWOI]

Hi,
I just ran this on my Macbook Pro 16 M2 Pro, and here is the results.

torch 1.13.1
device mps
Using downloaded and verified file: data/cifar-10-python.tar.gz
Extracting data/cifar-10-python.tar.gz to data
Downloading: "https://github.com/pytorch/vision/zipball/v0.11.0" to /Users/wangyu/.cache/torch/hub/v0.11.0.zip
/Users/wangyu/Documents/python3ve/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.
  warnings.warn(
/Users/wangyu/Documents/python3ve/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=None`.
  warnings.warn(msg)
Epoch: 001/001 | Batch 0000/1406 | Loss: 2.4328
Epoch: 001/001 | Batch 0100/1406 | Loss: 2.2731
Epoch: 001/001 | Batch 0200/1406 | Loss: 1.9646
Epoch: 001/001 | Batch 0300/1406 | Loss: 1.8460
Epoch: 001/001 | Batch 0400/1406 | Loss: 1.9599
Epoch: 001/001 | Batch 0500/1406 | Loss: 1.9507
Epoch: 001/001 | Batch 0600/1406 | Loss: 2.0058
Epoch: 001/001 | Batch 0700/1406 | Loss: 1.7141
Epoch: 001/001 | Batch 0800/1406 | Loss: 1.9580
Epoch: 001/001 | Batch 0900/1406 | Loss: 1.5622
Epoch: 001/001 | Batch 1000/1406 | Loss: 1.6903
Epoch: 001/001 | Batch 1100/1406 | Loss: 1.8572
Epoch: 001/001 | Batch 1200/1406 | Loss: 1.5994
Epoch: 001/001 | Batch 1300/1406 | Loss: 1.9531
Epoch: 001/001 | Batch 1400/1406 | Loss: 1.5582
Time / epoch without evaluation: 19.83 min
Epoch: 001/001 | Train: 40.06% | Validation: 41.60% | Best Validation (Ep. 001): 41.60%
Time elapsed: 25.22 min
Total Training Time: 25.22 min
Test accuracy 40.97%
Total Time: 28.94 min