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authorJordan Gong <jordan.gong@protonmail.com>2021-01-05 13:21:16 +0800
committerJordan Gong <jordan.gong@protonmail.com>2021-01-05 13:21:16 +0800
commit7158a18a5f2789b2b2902c4b918ed80002970249 (patch)
tree5f9f70fddd82e3d2b6930ab4c2f81b29cc2bdc5a /models/rgb_part_net.py
parent65c1f1a5a88344b67df42ca4f646763a5b80a691 (diff)
Change and improve weight initialization
1. Change initial weights for Conv layers 2. Find a way to init last fc in init_weights
Diffstat (limited to 'models/rgb_part_net.py')
-rw-r--r--models/rgb_part_net.py2
1 files changed, 1 insertions, 1 deletions
diff --git a/models/rgb_part_net.py b/models/rgb_part_net.py
index ac76dbf..5012765 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.init.xavier_uniform_(nn.Parameter(empty_fc))
+ self.fc_mat = nn.Parameter(empty_fc)
def fc(self, x):
return torch.matmul(x, self.fc_mat)