full_state_update is not set in anomalib (Torchmetrics v0.9)

[samet-akcay]

full_state_update is not set, which has been introduced in Torchmetrics v0.9

Torchmetrics v0.9 introduced a new argument class property called full_state_update that has
not been set for this class (AdaptiveThreshold). The property determines if update by
default needs access to the full metric state. If this is not the case, significant speedups can be
achieved and we recommend setting this to False.
We provide an checking function
from torchmetrics.utilities import check_forward_no_full_state
that can be used to check if the full_state_update=True (old and potential slower behaviour,
default for now) or if full_state_update=False can be used safely.