`UserWarning` while using logAUC

[VijayVignesh1]

🐛 Bug

Using logauc function gives the following Userwarning:

torchmetrics/src/torchmetrics/functional/classification/logauc.py:52: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.detach().clone() or sourceTensor.detach().clone().requires_grad_(True), rather than torch.tensor(sourceTensor).

To Reproduce

Sample code and steps to reproduce the behavior with expected result...

Code sample

# Ideally attach a minimal code sample to reproduce the decried issue.
# Minimal means having the shortest code but still preserving the bug.

import torch
from torchmetrics.functional.classification.logauc import logauc

preds = torch.tensor([0.9, 0.1, 0.8, 0.2, 0.05])
target = torch.tensor([1, 0, 1, 0, 0])

score = logauc(
    preds=preds,
    target=target,
    task="binary",
)

print("LogAUC score:", score)

Environment

• TorchMetrics version (if build from source, add commit SHA): 1.9.0.dev0
• Python & PyTorch Version (e.g., 1.0): Python 3.10.18 & Pytorch 2.8.0
• Any other relevant information such as OS (e.g., Linux): Ubuntu

Additional context

[justusschock]

Hey @VijayVignesh1 , thanks for reporting this. Are you interested in contributing a fix?