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Use train.py to train with the above configuration
Traceback (most recent call last):
[rank0]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 1017, in <module>
[rank0]: main()
[rank0]: File "/home/linjl/anaconda3/envs/sana/lib/python3.10/site-packages/pyrallis/argparsing.py", line 158, in wrapper_inner
[rank0]: response = fn(cfg, *args, **kwargs)
[rank0]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 1002, in main
[rank0]: train(
[rank0]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 319, in train
[rank0]: z = vae_encode(
[rank0]: File "/home/linjl/zzc/Sana/diffusion/model/builder.py", line 117, in vae_encode
[rank0]: z = z * scaling_factor
[rank0]: TypeError: unsupported operand type(s) for *: 'EncoderOutput' and 'float'
[rank2]: Traceback (most recent call last):
[rank2]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 1017, in <module>
[rank2]: main()
[rank2]: File "/home/linjl/anaconda3/envs/sana/lib/python3.10/site-packages/pyrallis/argparsing.py", line 158, in wrapper_inner
[rank2]: response = fn(cfg, *args, **kwargs)
[rank2]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 1002, in main
[rank2]: train(
[rank2]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 319, in train
[rank2]: z = vae_encode(
[rank2]: File "/home/linjl/zzc/Sana/diffusion/model/builder.py", line 117, in vae_encode
[rank2]: z = z * scaling_factor
[rank2]: TypeError: unsupported operand type(s) for *: 'EncoderOutput' and 'float'
[rank1]: Traceback (most recent call last):
[rank1]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 1017, in <module>
[rank1]: main()
[rank1]: File "/home/linjl/anaconda3/envs/sana/lib/python3.10/site-packages/pyrallis/argparsing.py", line 158, in wrapper_inner
[rank1]: response = fn(cfg, *args, **kwargs)
[rank1]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 1002, in main
[rank1]: train(
[rank1]: File "/home/linjl/zzc/Sana/train_scripts/train.py", line 319, in train
[rank1]: z = vae_encode(
[rank1]: File "/home/linjl/zzc/Sana/diffusion/model/builder.py", line 117, in vae_encode
[rank1]: z = z * scaling_factor
[rank1]: TypeError: unsupported operand type(s) for *: 'EncoderOutput' and 'float'
The text was updated successfully, but these errors were encountered:
Use train.py to train with the above configuration
The text was updated successfully, but these errors were encountered: