Feedback about Quickstart

There is the following issue on this page: https://docs.pytorch.org/tutorials/beginner/basics/quickstart_tutorial.html#optimizing-the-model-parameters

System specs: Windows 11, python3.11, pytorch==2.8.0+xpu, Intel oneAPI 2025.2.

Been following this tut, I got this error raising from test function

correct += (pred.argmax(1) == y).type(torch.float).sum().item()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: UR error

Checked all the compatibility of oneAPI, pytorch, and intel_extension_for_pytorch

print(torch.xpu._is_compiled())
print(torch.xpu.is_available())

Both prints True

Really new to ML and NN, but not dev, so tried using torch.FloatTensor
correct += (pred.argmax(1) == y).type(torch.FloatTensor).sum().item()
It works and output almost matches to what's given in tut.

I hope what I did is correct in terms of ML.
If not please suggest where can I lookup to understand this better.

cc @albanD @jbschlosser @gujinghui @EikanWang @fengyuan14 @guangyey

Start with the Optimizing the Model Parameters section of the Quickstart page and reproduce the reported error in the stated Windows, Python, PyTorch XPU, and Intel oneAPI environment. Compare the tutorial's type conversion with the reported FloatTensor workaround, then document whether the tutorial needs a correction and what users should expect when the test function completes.