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author | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-25 15:24:16 +0800 |
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committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-25 15:43:02 +0800 |
commit | 104c6fbf0686828ed299b2a8bda1806a9b45f440 (patch) | |
tree | 34a5e50a4eda68d53e64f87e258d90a180718bc3 /utils/triplet_loss.py | |
parent | 27ab5fc3374f7e3cf57aa604978fbb9eabfcb76d (diff) | |
parent | 5a063855dbecb8f1a86ad25d9e61a9c8b63312b3 (diff) |
Merge branch 'master' into data_paralleldata_parallel
# Conflicts:
# models/model.py
Diffstat (limited to 'utils/triplet_loss.py')
-rw-r--r-- | utils/triplet_loss.py | 9 |
1 files changed, 7 insertions, 2 deletions
diff --git a/utils/triplet_loss.py b/utils/triplet_loss.py index 03fff21..5e3a97a 100644 --- a/utils/triplet_loss.py +++ b/utils/triplet_loss.py @@ -28,6 +28,7 @@ class BatchTripletLoss(nn.Module): else: # is_all positive_negative_dist = self._all_distance(dist, y, p, n) + non_zero_counts = None if self.margin: losses = F.relu(self.margin + positive_negative_dist).view(p, -1) non_zero_counts = (losses != 0).sum(1).float() @@ -35,14 +36,18 @@ class BatchTripletLoss(nn.Module): loss_metric = self._none_zero_mean(losses, non_zero_counts) else: # is_sum loss_metric = losses.sum(1) - return loss_metric, flat_dist, non_zero_counts else: # Soft margin losses = F.softplus(positive_negative_dist).view(p, -1) if self.is_mean: loss_metric = losses.mean(1) else: # is_sum loss_metric = losses.sum(1) - return loss_metric, flat_dist, None + + return { + 'loss': loss_metric, + 'dist': flat_dist, + 'counts': non_zero_counts + } @staticmethod def _batch_distance(x): |