Traceback (most recent call last):
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/generate_with_mask.py", line 191, in
images=model.log_images(batch,sample=False,inpaint=True,unconditional_only=True,adaptive_mask=opt.adaptive_mask)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/models/diffusion/ddpm.py", line 1451, in log_images
z, c,total_dict, x, xrec, xc = self.get_input(batch, self.first_stage_key,
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/models/diffusion/ddpm.py", line 794, in get_input
c,position = self.get_learned_conditioning(xc,x=masked_img,name=name)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/models/diffusion/ddpm.py", line 633, in get_learned_conditioning
c,position = self.cond_stage_model.encode(c, cond_img=x,embedding_manager=self.embedding_manager,name=name)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/encoders/modules.py", line 130, in encode
return self(text,kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(args, kwargs)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/encoders/modules.py", line 122, in forward
z,position = self.transformer(tokens, return_embeddings=True, kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(args, kwargs)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/x_transformer.py", line 615, in forward
x,position = embedding_manager(x, embedded_x,kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(args, kwargs)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/embedding_manager2.py", line 123, in forward
placeholder_embedding.append(self.string_to_param_dict[i])
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/container.py", line 739, in getitem
return getattr(self, attr)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1695, in getattr
**raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
AttributeError: 'ParameterDict' object has no attribute 'cable+cut_outer_insulation'**
Traceback (most recent call last): File "/storage/research/workspaces/gwangyeol/anomalydiffusion/generate_with_mask.py", line 191, in
images=model.log_images(batch,sample=False,inpaint=True,unconditional_only=True,adaptive_mask=opt.adaptive_mask)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/models/diffusion/ddpm.py", line 1451, in log_images
z, c,total_dict, x, xrec, xc = self.get_input(batch, self.first_stage_key,
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/models/diffusion/ddpm.py", line 794, in get_input
c,position = self.get_learned_conditioning(xc,x=masked_img,name=name)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/models/diffusion/ddpm.py", line 633, in get_learned_conditioning
c,position = self.cond_stage_model.encode(c, cond_img=x,embedding_manager=self.embedding_manager,name=name)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/encoders/modules.py", line 130, in encode
return self(text,kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(args, kwargs)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/encoders/modules.py", line 122, in forward
z,position = self.transformer(tokens, return_embeddings=True, kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(args, kwargs)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/x_transformer.py", line 615, in forward
x,position = embedding_manager(x, embedded_x,kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
return forward_call(args, kwargs)
File "/storage/research/workspaces/gwangyeol/anomalydiffusion/ldm/modules/embedding_manager2.py", line 123, in forward
placeholder_embedding.append(self.string_to_param_dict[i])
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/container.py", line 739, in getitem
return getattr(self, attr)
File "/usr/local/lib/python3.9/dist-packages/torch/nn/modules/module.py", line 1695, in getattr
AttributeError: 'ParameterDict' object has no attribute 'cable+cut_outer_insulation'**
CUDA_VISIBLE_DEVICES=0,1 python run-mvtec.py --data_path=/storage/image_datasets/mvtec_anomaly_detection_real --adaptive_mask
the generate_with_mask.py script creates the image, image-mask, mask, and ori folders, but no images are generated.
Could you please help identify the reason for this issue based on the error described above? Thank you.