c3dm/tools/functions.py [167:174]:
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	if mask is not None:
		dist = (dist*mask).sum(1) / \
					torch.clamp(mask.sum(1),1.)
	else:
		if len(dist.shape)==2 and dist.shape[1] > 1: 
			dist = dist.mean(1)
	dist = dist.mean()
	return dist
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c3dm/tools/functions.py [180:187]:
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	if mask is not None:
		dist = (dist*mask).sum(1) / \
					torch.clamp(mask.sum(1),1.)
	else:
		if len(dist.shape)==2 and dist.shape[1] > 1: 
			dist = dist.mean(1)
	dist = dist.mean()
	return dist
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