update

finetrainers/utils/data_utils.py

@@ -0,0 +1,35 @@
+from pathlib import Path
+from typing import Union
+
+from accelerate.logging import get_logger
+
+from ..constants import PRECOMPUTED_DIR_NAME, PRECOMPUTED_CONDITIONS_DIR_NAME, PRECOMPUTED_LATENTS_DIR_NAME
+
+
+logger = get_logger("finetrainers")
+
+
+def should_perform_precomputation(data_root: Union[str, Path]) -> bool:
+    if isinstance(data_root, str):
+        data_root = Path(data_root)
+    conditions_dir = data_root / PRECOMPUTED_DIR_NAME / PRECOMPUTED_CONDITIONS_DIR_NAME
+    latents_dir = data_root / PRECOMPUTED_DIR_NAME / PRECOMPUTED_LATENTS_DIR_NAME
+    if conditions_dir.exists() and latents_dir.exists():
+        num_files_conditions = len(list(conditions_dir.glob("*.pt")))
+        num_files_latents = len(list(latents_dir.glob("*.pt")))
+        if num_files_conditions != num_files_latents:
+            logger.warning(
+                f"Number of precomputed conditions ({num_files_conditions}) does not match number of precomputed latents ({num_files_latents})."
+                f"Cleaning up precomputed directories and re-running precomputation."
+            )
+            # clean up precomputed directories
+            for file in conditions_dir.glob("*.pt"):
+                file.unlink()
+            for file in latents_dir.glob("*.pt"):
+                file.unlink()
+            return True
+        if num_files_conditions > 0:
+            logger.info(f"Found {num_files_conditions} precomputed conditions and latents.")
+            return False
+    logger.info("Precomputed data not found. Running precomputation.")
+    return True