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AttributeError: 'Namespace' object has no attribute 'log_tokenization'

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Could be fixed here or alternatively declared in file globals.py
This commit is contained in:
spezialspezial
2023-02-17 22:11:49 +01:00
committed by GitHub
parent ccba41cdb2
commit 7a518218e5
1 changed files with 3 additions and 3 deletions
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4
ldm/invoke/conditioning.py
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@ -93,7 +93,7 @@ def _get_conditioning_for_prompt(parsed_prompt: Union[Blend, FlattenedPrompt], p
Process prompt structure and tokens, and return (conditioning, unconditioning, extra_conditioning_info) Process prompt structure and tokens, and return (conditioning, unconditioning, extra_conditioning_info)
""" """
if log_tokens or Globals.log_tokenization: if log_tokens or getattr(Globals, "log_tokenization", False):
print(f"\n>> [TOKENLOG] Parsed Prompt: {parsed_prompt}") print(f"\n>> [TOKENLOG] Parsed Prompt: {parsed_prompt}")
print(f"\n>> [TOKENLOG] Parsed Negative Prompt: {parsed_negative_prompt}") print(f"\n>> [TOKENLOG] Parsed Negative Prompt: {parsed_negative_prompt}")
@ -236,7 +236,7 @@ def _get_embeddings_and_tokens_for_prompt(model, flattened_prompt: FlattenedProm
fragments = [x.text for x in flattened_prompt.children] fragments = [x.text for x in flattened_prompt.children]
weights = [x.weight for x in flattened_prompt.children] weights = [x.weight for x in flattened_prompt.children]
embeddings, tokens = model.get_learned_conditioning([fragments], return_tokens=True, fragment_weights=[weights]) embeddings, tokens = model.get_learned_conditioning([fragments], return_tokens=True, fragment_weights=[weights])
if log_tokens or Globals.log_tokenization: if log_tokens or getattr(Globals, "log_tokenization", False):
text = " ".join(fragments) text = " ".join(fragments)
log_tokenization(text, model, display_label=log_display_label) log_tokenization(text, model, display_label=log_display_label)