diff options
| -rw-r--r-- | models/model.py | 8 | ||||
| -rw-r--r-- | models/rgb_part_net.py | 2 |
2 files changed, 3 insertions, 7 deletions
diff --git a/models/model.py b/models/model.py index ba87e3c..2ef3b80 100644 --- a/models/model.py +++ b/models/model.py @@ -198,12 +198,8 @@ class Model: # Duplicate labels for each part y = y.unsqueeze(1).repeat(1, self.rgb_pn.module.num_total_parts) losses, images = self.rgb_pn(x_c1, x_c2, y) - losses = torch.stack(( - # xrecon cano_cons pose_sim - losses[0].sum(), losses[1].mean(), losses[2].mean(), - # hpm_ba_trip pn_ba_trip - losses[3].mean(), losses[4].mean() - )) + # Combine losses from different data splits + losses = losses.mean() loss = losses.sum() loss.backward() self.optimizer.step() diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py index 538ca53..2af990e 100644 --- a/models/rgb_part_net.py +++ b/models/rgb_part_net.py @@ -86,7 +86,7 @@ class RGBPartNet(nn.Module): pn_ba_trip = self.pn_ba_trip( x[self.hpm_num_parts:], y[self.hpm_num_parts:] ) - losses = (*losses, hpm_ba_trip, pn_ba_trip) + losses = torch.stack((*losses, hpm_ba_trip, pn_ba_trip)) return losses, images else: return x.unsqueeze(1).view(-1) |