mirror of
https://github.com/storytold/FineTrainers-Conditioning.git
synced 2026-10-09 00:09:45 +00:00
Aryan
36 lines
1.5 KiB
Python
36 lines
1.5 KiB
Python
from pathlib import Path
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from typing import Union
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from accelerate.logging import get_logger
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from ..constants import PRECOMPUTED_CONDITIONS_DIR_NAME, PRECOMPUTED_LATENTS_DIR_NAME
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logger = get_logger("finetrainers")
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def should_perform_precomputation(precomputation_dir: Union[str, Path]) -> bool:
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if isinstance(precomputation_dir, str):
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precomputation_dir = Path(precomputation_dir)
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conditions_dir = precomputation_dir / PRECOMPUTED_CONDITIONS_DIR_NAME
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latents_dir = precomputation_dir / PRECOMPUTED_LATENTS_DIR_NAME
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if conditions_dir.exists() and latents_dir.exists():
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num_files_conditions = len(list(conditions_dir.glob("*.pt")))
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num_files_latents = len(list(latents_dir.glob("*.pt")))
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if num_files_conditions != num_files_latents:
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logger.warning(
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f"Number of precomputed conditions ({num_files_conditions}) does not match number of precomputed latents ({num_files_latents})."
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f"Cleaning up precomputed directories and re-running precomputation."
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)
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# clean up precomputed directories
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for file in conditions_dir.glob("*.pt"):
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file.unlink()
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for file in latents_dir.glob("*.pt"):
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file.unlink()
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return True
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if num_files_conditions > 0:
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logger.info(f"Found {num_files_conditions} precomputed conditions and latents.")
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return False
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logger.info("Precomputed data not found. Running precomputation.")
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return True
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