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Following @rom1504 's instructions for a custom dataset. I have no classes and have trained a model that is producing reconstructions. When attempting to sample by running sample_fast.py, I am receiving this error.
Working with z of shape (1, 256, 16, 16) = 65536 dimensions.
loaded pretrained LPIPS loss from taming/modules/autoencoder/lpips/vgg.pth
VQLPIPSWithDiscriminator running with hinge loss.
Logging to logs/2021-06-25T12-27-06_custom_vqgan/samples/top_k_250_temp_1.00_top_p_1.0/234637
Traceback (most recent call last):
File "scripts/sample_fast.py", line 262, in <module>
run(logdir, model, opt.batch_size, opt.temperature, opt.top_k, unconditional=model.be_unconditional,
File "/home/virginia/dalle/dall2/lib/python3.8/site-packages/torch/nn/modules/module.py", line 778, in __getattr__
raise ModuleAttributeError("'{}' object has no attribute '{}'".format(
torch.nn.modules.module.ModuleAttributeError: 'VQModel' object has no attribute 'be_unconditional'
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