Do not show pre_transform UserWarning if force_reload=True

[agitter]

📚 Describe the documentation issue

When testing changing the AddRandomWalkPE transform in the graph_gps.py example to AddLaplacianEigenvectorPE, I got the error

torch_geometric/data/dataset.py:240: UserWarning: The `pre_transform` argument differs from the one used in the pre-processed version of this dataset. If you want to make use of another pre-processing technique, pass `force_reload=True` explicitly to reload the dataset.

Even after setting force_reload=True, the warning still appears.

Looking at the source at

pytorch_geometric/torch_geometric/data/dataset.py

Lines 236 to 253 in facf0c4

	def _process(self):
	f = osp.join(self.processed_dir, 'pre_transform.pt')
	if osp.exists(f) and torch.load(f, weights_only=False) != _repr(
	self.pre_transform):
	warnings.warn(
	"The `pre_transform` argument differs from the one used in "
	"the pre-processed version of this dataset. If you want to "
	"make use of another pre-processing technique, pass "
	"`force_reload=True` explicitly to reload the dataset.")
	f = osp.join(self.processed_dir, 'pre_filter.pt')
	if osp.exists(f) and torch.load(f, weights_only=False) != _repr(
	self.pre_filter):
	warnings.warn(
	"The `pre_filter` argument differs from the one used in "
	"the pre-processed version of this dataset. If you want to "
	"make use of another pre-fitering technique, pass "
	"`force_reload=True` explicitly to reload the dataset.")

it looks as if the warning does not check force_reload. The warning appearing suggests ot the user that something is wrong. If I understand the behavior correctly, once force_reload=True the user had done everything correctly. I suggest suppressing the warning if force_reload=True.

Suggest a potential alternative/fix

Hide the warning when force_reload=True