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Refactor functions/losses.py

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This commit is contained in:
Jensun Ravichandran 2021-05-04 20:36:48 +02:00
parent 9a7d3192c0
commit 466e9bde6b
1 changed files with 10 additions and 3 deletions
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prototorch/functions/losses.py
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@ -3,12 +3,19 @@
import torch import torch
def _get_dp_dm(distances, targets, plabels): def _get_matcher(targets, labels):
matcher = torch.eq(targets.unsqueeze(dim=1), plabels) """Returns a boolean tensor."""
if plabels.ndim == 2: matcher = torch.eq(targets.unsqueeze(dim=1), labels)
if labels.ndim == 2:
# if the labels are one-hot vectors # if the labels are one-hot vectors
nclasses = targets.size()[1] nclasses = targets.size()[1]
matcher = torch.eq(torch.sum(matcher, dim=-1), nclasses) matcher = torch.eq(torch.sum(matcher, dim=-1), nclasses)
return matcher
def _get_dp_dm(distances, targets, plabels):
"""Returns the d+ and d- values for a batch of distances."""
matcher = _get_matcher(targets, plabels)
not_matcher = torch.bitwise_not(matcher) not_matcher = torch.bitwise_not(matcher)
inf = torch.full_like(distances, fill_value=float("inf")) inf = torch.full_like(distances, fill_value=float("inf"))