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| author | Jordan Gong <jordan.gong@protonmail.com> | 2021-02-20 14:48:16 +0800 |
|---|---|---|
| committer | Jordan Gong <jordan.gong@protonmail.com> | 2021-02-20 14:48:16 +0800 |
| commit | 9b1828be1db7fd1be8731a7cec66162de9145285 (patch) | |
| tree | 9efb5a37856f34e333457e9d7ab2aaa8ba811cf6 /models/auto_encoder.py | |
| parent | e33c22e556ed64e1c1fdb011d78a124d1489ad15 (diff) | |
| parent | c538919cb69e35a46811aef0b23baefe6a4c499c (diff) | |
Merge branch 'python3.8' into data_parallel_py3.8
# Conflicts:
# models/model.py
Diffstat (limited to 'models/auto_encoder.py')
| -rw-r--r-- | models/auto_encoder.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/models/auto_encoder.py b/models/auto_encoder.py index e17caed..6f388c2 100644 --- a/models/auto_encoder.py +++ b/models/auto_encoder.py @@ -173,7 +173,7 @@ class AutoEncoder(nn.Module): return ( (f_a_c1_t2_, f_c_c1_t2_, f_p_c1_t2_), - (xrecon_loss, cano_cons_loss, pose_sim_loss * 10) + torch.stack((xrecon_loss, cano_cons_loss, pose_sim_loss * 10)) ) else: # evaluating return f_c_c1_t2_, f_p_c1_t2_ |