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AttributeError: 'Namespace' object has no attribute 'log_tokenization' (#2698)
Could be fixed here or alternatively declared in file globals.py
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commit
8c63fac958
@ -93,7 +93,7 @@ def _get_conditioning_for_prompt(parsed_prompt: Union[Blend, FlattenedPrompt], p
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Process prompt structure and tokens, and return (conditioning, unconditioning, extra_conditioning_info)
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"""
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if log_tokens or Globals.log_tokenization:
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if log_tokens or getattr(Globals, "log_tokenization", False):
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print(f"\n>> [TOKENLOG] Parsed Prompt: {parsed_prompt}")
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print(f"\n>> [TOKENLOG] Parsed Negative Prompt: {parsed_negative_prompt}")
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@ -236,7 +236,7 @@ def _get_embeddings_and_tokens_for_prompt(model, flattened_prompt: FlattenedProm
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fragments = [x.text for x in flattened_prompt.children]
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weights = [x.weight for x in flattened_prompt.children]
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embeddings, tokens = model.get_learned_conditioning([fragments], return_tokens=True, fragment_weights=[weights])
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if log_tokens or Globals.log_tokenization:
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if log_tokens or getattr(Globals, "log_tokenization", False):
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text = " ".join(fragments)
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log_tokenization(text, model, display_label=log_display_label)
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@ -296,4 +296,4 @@ def log_tokenization(text, model, display_label=None):
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if discarded != "":
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print(f'\n>> [TOKENLOG] Tokens Discarded ({totalTokens - usedTokens}):')
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print(f'{discarded}\x1b[0m')
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print(f'{discarded}\x1b[0m')
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@ -54,6 +54,9 @@ Globals.full_precision = False
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# whether we should convert ckpt files into diffusers models on the fly
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Globals.ckpt_convert = False
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# logging tokenization everywhere
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Globals.log_tokenization = False
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def global_config_file()->Path:
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return Path(Globals.root, Globals.config_dir, Globals.models_file)
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