Unused return value in `convert_seq_to_patch_view`

[CharmsGraker]

In convert_seq_to_patch_view, the return value of select_segments is unused, suggesting the scoring module might not be effective.

Samay/src/samay/models/lptm/model/masktrain.py

Lines 19 to 38 in 6a549ae

	@staticmethod
	def convert_seq_to_patch_view(
	mask: torch.Tensor,
	scores: torch.Tensor,
	patch_len: int = 8,
	stride: Optional[int] = None,
	):
	"""
	Input:
	mask : torch.Tensor of shape [batch_size x seq_len]
	Output
	mask : torch.Tensor of shape [batch_size x n_patches]
	"""
	stride = patch_len if stride is None else stride
	# sm.forward(mask)
	if hasattr(scores, "shape"):
	select_segments(scores, patch_len, mask=mask)
	mask = mask.unfold(dimension=-1, size=patch_len, step=stride)
	# mask : [batch_size x n_patches x patch_len]
	return (mask.sum(dim=-1) == patch_len).long()