diff options
author | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-25 15:46:31 +0800 |
---|---|---|
committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-03-25 15:46:31 +0800 |
commit | 8dd0c42dc341445987c6a907df909155a8b9abd2 (patch) | |
tree | c8b2ceedbb2513662b4cf151121ddf3ca2deb187 /utils/triplet_loss.py | |
parent | 478ecf50f3dd9e2c2f8ca62e6ecd4a65b2cc7c3a (diff) | |
parent | 104c6fbf0686828ed299b2a8bda1806a9b45f440 (diff) |
Merge branch 'data_parallel' into data_parallel_py3.8data_parallel_py3.8
# 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): |