Separate last fc matrix from weight init function

Recursive apply will override other parameters too

2 files changed, 1 insertions, 3 deletions

diff --git a/models/model.py b/models/model.py
index ebd6aba..7dba949 100644
--- a/models/model.py
+++ b/models/model.py
@@ -87,8 +87,6 @@ class Model:
             nn.init.zeros_(m.bias)
         elif isinstance(m, nn.Linear):
             nn.init.xavier_uniform_(m.weight)
-        elif isinstance(m, nn.Parameter):
-            nn.init.xavier_uniform_(m)
 
     def _parse_dataset_config(
             self,
diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py
index 5012765..ac76dbf 100644
--- a/models/rgb_part_net.py
+++ b/models/rgb_part_net.py
@@ -41,7 +41,7 @@ class RGBPartNet(nn.Module):
         )
         total_parts = sum(hpm_scales) + tfa_num_parts
         empty_fc = torch.empty(total_parts, out_channels, embedding_dims)
-        self.fc_mat = nn.Parameter(empty_fc)
+        self.fc_mat = nn.init.xavier_uniform_(nn.Parameter(empty_fc))
 
     def fc(self, x):
         return torch.matmul(x, self.fc_mat)