Spaces:
Running
on
Zero
Running
on
Zero
enable zerogpu
Browse files
app.py
CHANGED
@@ -212,12 +212,14 @@ if NEW_MODEL:
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# ckpt_state_dict = torch.load(model_path)['model_state_dict']
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ckpt_state_dict = torch.load(model_path, map_location='cpu')['ema_state_dict']
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missing_keys, extra_keys = model.load_state_dict(ckpt_state_dict, strict=False)
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model.eval()
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print(missing_keys, extra_keys)
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assert len(missing_keys) == 0
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vae_state_dict = torch.load(vae_path)['state_dict']
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-
autoencoder = vqvae.create_model(3, 3, opts.latent_dim).eval().requires_grad_(False)
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missing_keys, extra_keys = autoencoder.load_state_dict(vae_state_dict, strict=False)
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autoencoder.eval()
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assert len(missing_keys) == 0
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else:
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# ckpt_state_dict = torch.load(model_path)['model_state_dict']
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ckpt_state_dict = torch.load(model_path, map_location='cpu')['ema_state_dict']
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missing_keys, extra_keys = model.load_state_dict(ckpt_state_dict, strict=False)
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+
model = model.to(device)
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model.eval()
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print(missing_keys, extra_keys)
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assert len(missing_keys) == 0
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vae_state_dict = torch.load(vae_path)['state_dict']
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+
autoencoder = vqvae.create_model(3, 3, opts.latent_dim).eval().requires_grad_(False)
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missing_keys, extra_keys = autoencoder.load_state_dict(vae_state_dict, strict=False)
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+
autoencoer = autoencoder.to(device)
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autoencoder.eval()
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assert len(missing_keys) == 0
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else:
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