Remove cache migration script

src/diffusers/utils/hub_utils.py

@@ -19,7 +19,6 @@
 import re
 import sys
 import tempfile
-import traceback
 import warnings
 from pathlib import Path
 from typing import Dict, List, Optional, Union
@@ -35,7 +34,7 @@
     snapshot_download,
     upload_folder,
 )
-from huggingface_hub.constants import HF_HUB_CACHE, HF_HUB_DISABLE_TELEMETRY, HF_HUB_OFFLINE
+from huggingface_hub.constants import HF_HUB_DISABLE_TELEMETRY, HF_HUB_OFFLINE
 from huggingface_hub.file_download import REGEX_COMMIT_HASH
 from huggingface_hub.utils import (
     EntryNotFoundError,
@@ -197,78 +196,6 @@ def extract_commit_hash(resolved_file: Optional[str], commit_hash: Optional[str]
     return commit_hash if REGEX_COMMIT_HASH.match(commit_hash) else None
 
 
-# Old default cache path, potentially to be migrated.
-# This logic was more or less taken from `transformers`, with the following differences:
-# - Diffusers doesn't use custom environment variables to specify the cache path.
-# - There is no need to migrate the cache format, just move the files to the new location.
-hf_cache_home = os.path.expanduser(
-    os.getenv("HF_HOME", os.path.join(os.getenv("XDG_CACHE_HOME", "~/.cache"), "huggingface"))
-)
-old_diffusers_cache = os.path.join(hf_cache_home, "diffusers")
-
-
-def move_cache(old_cache_dir: Optional[str] = None, new_cache_dir: Optional[str] = None) -> None:
-    if new_cache_dir is None:
-        new_cache_dir = HF_HUB_CACHE
-    if old_cache_dir is None:
-        old_cache_dir = old_diffusers_cache
-
-    old_cache_dir = Path(old_cache_dir).expanduser()
-    new_cache_dir = Path(new_cache_dir).expanduser()
-    for old_blob_path in old_cache_dir.glob("**/blobs/*"):
-        if old_blob_path.is_file() and not old_blob_path.is_symlink():
-            new_blob_path = new_cache_dir / old_blob_path.relative_to(old_cache_dir)
-            new_blob_path.parent.mkdir(parents=True, exist_ok=True)
-            os.replace(old_blob_path, new_blob_path)
-            try:
-                os.symlink(new_blob_path, old_blob_path)
-            except OSError:
-                logger.warning(
-                    "Could not create symlink between old cache and new cache. If you use an older version of diffusers again, files will be re-downloaded."
-                )
-    # At this point, old_cache_dir contains symlinks to the new cache (it can still be used).
-
-
-cache_version_file = os.path.join(HF_HUB_CACHE, "version_diffusers_cache.txt")
-if not os.path.isfile(cache_version_file):
-    cache_version = 0
-else:
-    with open(cache_version_file) as f:
-        try:
-            cache_version = int(f.read())
-        except ValueError:
-            cache_version = 0
-
-if cache_version < 1:
-    old_cache_is_not_empty = os.path.isdir(old_diffusers_cache) and len(os.listdir(old_diffusers_cache)) > 0
-    if old_cache_is_not_empty:
-        logger.warning(
-            "The cache for model files in Diffusers v0.14.0 has moved to a new location. Moving your "
-            "existing cached models. This is a one-time operation, you can interrupt it or run it "
-            "later by calling `diffusers.utils.hub_utils.move_cache()`."
-        )
-        try:
-            move_cache()
-        except Exception as e:
-            trace = "\n".join(traceback.format_tb(e.__traceback__))
-            logger.error(
-                f"There was a problem when trying to move your cache:\n\n{trace}\n{e.__class__.__name__}: {e}\n\nPlease "
-                "file an issue at https://github.com/huggingface/diffusers/issues/new/choose, copy paste this whole "
-                "message and we will do our best to help."
-            )
-
-if cache_version < 1:
-    try:
-        os.makedirs(HF_HUB_CACHE, exist_ok=True)
-        with open(cache_version_file, "w") as f:
-            f.write("1")
-    except Exception:
-        logger.warning(
-            f"There was a problem when trying to write in your cache folder ({HF_HUB_CACHE}). Please, ensure "
-            "the directory exists and can be written to."
-        )
-
-
 def _add_variant(weights_name: str, variant: Optional[str] = None) -> str:
     if variant is not None:
         splits = weights_name.split(".")