cannot deepcopy this pattern object

[Mushahid2521]

I tried to run the project on Google Colab. I have imported and downloaded everything I guess so. But when I run the Inference script it gives the following error.
y = copier(memo) TypeError: cannot deepcopy this pattern object
If anyone please help.

[andrewjong]

Can you post more information? I don't recognize this line from my code, perhaps it's from some library that I used.

[Mushahid2521]

Hello.
The error is showing in the deepcopy() function from copy module in python.
File "/content/SwapNet/options/base_options.py", line 264, in copy return copy.deepcopy(self)

[raghubetageri]

@andrewjong (raghu) dioxe@dioxe-Inspiron-3542:~/project/SwapNet-master$ python inference.py --checkpoint checkpoints/deep_fashion \

--dataroot data/deep_fashion
--shuffle_data True
model None
dataset None
=====OPTIONS======
config_file : None
comments :
verbose : False
display_winsize : 256
checkpoints_dir : ./checkpoints
load_epoch : latest
dataset : None
dataset_mode : image
cloth_representation : labels
body_representation : rgb
cloth_channels : 19
body_channels : 12
texture_channels : 3
pad : False
load_size : 128
crop_size : 128
crop_bounds : None
max_dataset_size : 50
batch_size : 8
shuffle_data : True
num_workers : 4
gpu_id : 0
no_confirm : False
interval : 1
warp_checkpoint : None
texture_checkpoint : None
checkpoint : checkpoints/deep_fashion
body_dir : None
cloth_dir : None
texture_dir : None
results_dir : results
skip_intermediates : False
dataroot : data/deep_fashion
model : None
name :
is_train : False
==================
The experiment directory 'results' already exists.
Here are its contents:
['warp', 'args.json']

Existing data will be overwritten!
Are you sure you want to continue? (y/N): y

Set warp_checkpoint to checkpoints/deep_fashion/warp/latest_net_generator.pth
Set texture_checkpoint to checkpoints/deep_fashion/texture/latest_net_generator.pth
Running warp inference...
Rebuilding warp from checkpoints/deep_fashion/warp/latest_net_generator.pth
Traceback (most recent call last):
File "inference.py", line 227, in
_run_warp()
File "inference.py", line 147, in _run_warp
opt.warp_checkpoint, cloth_dir=opt.cloth_dir, body_dir=opt.body_dir
File "inference.py", line 58, in _rebuild_from_checkpoint
loaded_opt = _copy_and_load_config(checkpoint_dir).opt
File "inference.py", line 89, in _copy_and_load_config
return config.copy().load(os.path.join(directory, "args.json"))
File "/home/dioxe/project/SwapNet-master/options/base_options.py", line 264, in copy
return copy.deepcopy(self)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 215, in _deepcopy_list
append(deepcopy(a, memo))
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 280, in _reconstruct
state = deepcopy(state, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 240, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/dioxe/anaconda3/envs/raghu/lib/python3.6/copy.py", line 161, in deepcopy
y = copier(memo)
TypeError: cannot deepcopy this pattern object

[andrewjong]

Thanks for the detailed description. I'll take a look.

[Devetec]

Have the same issue! Please fix!

[andrewjong]

Hi all,
I have pushed a fix to bugfix/17-inference. Can you try it and let me know if it works for you, please?

Interestingly I am unable to reproduce the bug on my machine on the master branch. The bugfix I pushed theoretically should avoid this issue, as it's no longer copying the Options class, though please let me know what happens.

[andrewjong]

Seems like this was fixed in the recent merge. Please reopen if you encounter the same problem.