NameError: name 'trainer' is not defined

[wenkfjsf]

bash scripts/finetune_real.sh "cat" data/cat real_reg/samples_cat cat finetune_addtoken.yaml '/media/nlp/data/custom-diffusion/stable-diffusion-v-1-4-original/sd-v1-4.ckpt'
cat
data/cat
real_reg/samples_cat
cat
finetune_addtoken.yaml
/media/nlp/data/custom-diffusion/stable-diffusion-v-1-4-original/sd-v1-4.ckpt
Traceback (most recent call last):
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/site-packages/requests/models.py", line 974, in json
return complexjson.loads(self.text, **kwargs)
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/json/init.py", line 357, in loads
return _default_decoder.decode(s)
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/json/decoder.py", line 337, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/json/decoder.py", line 355, in raw_decode
raise JSONDecodeError("Expecting value", s, err.value) from None
json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "src/retrieve.py", line 92, in
retrieve(args.target_name, args.outpath, args.num_class_images)
File "src/retrieve.py", line 28, in retrieve
results = client.query(text=target_name)
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/site-packages/clip_retrieval/clip_client.py", line 84, in query
return self.search_knn_api(text=text)
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/site-packages/clip_retrieval/clip_client.py", line 131, in search_knn_api
return requests.post(
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/site-packages/requests/models.py", line 978, in json
raise RequestsJSONDecodeError(e.msg, e.doc, e.pos)
requests.exceptions.JSONDecodeError: Expecting value: line 1 column 1 (char 0)
Global seed set to 23
Running on GPUs 0,1
CustomDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
making attention of type 'vanilla' with 512 in_channels
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
making attention of type 'vanilla' with 512 in_channels
Traceback (most recent call last):
File "train.py", line 764, in
st = torch.load(opt.resume_from_checkpoint_custom, map_location='cpu')["state_dict"]
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/site-packages/torch/serialization.py", line 713, in load
return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
File "/home/nlp/anaconda3/envs/ldm/lib/python3.8/site-packages/torch/serialization.py", line 920, in _legacy_load
magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, 'v'.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 987, in
if trainer.global_rank == 0:
NameError: name 'trainer' is not defined
I encountered the above problem while implementing the code and asked for an answer