fix deprecation in lora after 0.34.0 release (#11802)

src/diffusers/loaders/lora_base.py

@@ -1022,15 +1022,3 @@ class LoraBaseMixin:
     @classmethod
     def _optionally_disable_offloading(cls, _pipeline):
         return _func_optionally_disable_offloading(_pipeline=_pipeline)
-
-    @classmethod
-    def _fetch_state_dict(cls, *args, **kwargs):
-        deprecation_message = f"Using the `_fetch_state_dict()` method from {cls} has been deprecated and will be removed in a future version. Please use `from diffusers.loaders.lora_base import _fetch_state_dict`."
-        deprecate("_fetch_state_dict", "0.35.0", deprecation_message)
-        return _fetch_state_dict(*args, **kwargs)
-
-    @classmethod
-    def _best_guess_weight_name(cls, *args, **kwargs):
-        deprecation_message = f"Using the `_best_guess_weight_name()` method from {cls} has been deprecated and will be removed in a future version. Please use `from diffusers.loaders.lora_base import _best_guess_weight_name`."
-        deprecate("_best_guess_weight_name", "0.35.0", deprecation_message)
-        return _best_guess_weight_name(*args, **kwargs)

tests/lora/test_deprecated_utilities.py

-import os
-import tempfile
-import unittest
-
-import torch
-
-from diffusers.loaders.lora_base import LoraBaseMixin
-
-
-class UtilityMethodDeprecationTests(unittest.TestCase):
-    def test_fetch_state_dict_cls_method_raises_warning(self):
-        state_dict = torch.nn.Linear(3, 3).state_dict()
-        with self.assertWarns(FutureWarning) as warning:
-            _ = LoraBaseMixin._fetch_state_dict(
-                state_dict,
-                weight_name=None,
-                use_safetensors=False,
-                local_files_only=True,
-                cache_dir=None,
-                force_download=False,
-                proxies=None,
-                token=None,
-                revision=None,
-                subfolder=None,
-                user_agent=None,
-                allow_pickle=None,
-            )
-        warning_message = str(warning.warnings[0].message)
-        assert "Using the `_fetch_state_dict()` method from" in warning_message
-
-    def test_best_guess_weight_name_cls_method_raises_warning(self):
-        with tempfile.TemporaryDirectory() as tmpdir:
-            state_dict = torch.nn.Linear(3, 3).state_dict()
-            torch.save(state_dict, os.path.join(tmpdir, "pytorch_lora_weights.bin"))
-
-            with self.assertWarns(FutureWarning) as warning:
-                _ = LoraBaseMixin._best_guess_weight_name(pretrained_model_name_or_path_or_dict=tmpdir)
-            warning_message = str(warning.warnings[0].message)
-            assert "Using the `_best_guess_weight_name()` method from" in warning_message