diff options
Diffstat (limited to 'models/rgb_part_net.py')
| -rw-r--r-- | models/rgb_part_net.py | 12 |
1 files changed, 9 insertions, 3 deletions
diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py index 8ebcfd3..2aa680c 100644 --- a/models/rgb_part_net.py +++ b/models/rgb_part_net.py @@ -44,7 +44,8 @@ class RGBPartNet(nn.Module): ae_feature_channels * 2, out_channels, hpm_use_1x1conv, hpm_scales, hpm_use_avg_pool, hpm_use_max_pool ) - empty_fc = torch.empty(self.hpm_num_parts + tfa_num_parts, + self.num_total_parts = self.hpm_num_parts + tfa_num_parts + empty_fc = torch.empty(self.num_total_parts, out_channels, embedding_dims) self.fc_mat = nn.Parameter(empty_fc) @@ -75,8 +76,13 @@ class RGBPartNet(nn.Module): x = self.fc(x) if self.training: - hpm_ba_trip = self.hpm_ba_trip(x[:self.hpm_num_parts], y) - pn_ba_trip = self.pn_ba_trip(x[self.hpm_num_parts:], y) + y = y.T + hpm_ba_trip = self.hpm_ba_trip( + x[:self.hpm_num_parts], y[:self.hpm_num_parts] + ) + pn_ba_trip = self.pn_ba_trip( + x[self.hpm_num_parts:], y[self.hpm_num_parts:] + ) losses = torch.stack((*losses, hpm_ba_trip, pn_ba_trip)) return losses, images else: |