Fix Typos (#7325)

* Fix PyTorch's convention for inplace functions

* Fix import structure in __init__.py and update config loading logic in test_config.py

* Update configuration access

* Fix typos

* Trim trailing white spaces

* Fix typo in logger name

* Revert "Fix PyTorch's convention for inplace functions"

This reverts commit f65dc4afcb57ceb43d5d06389229d47bafb10d2d.

* Fix typo in step_index property description

* Revert "Update configuration access"

This reverts commit 8d44e870b8c1ad08802e3e904c34baeca1b598f8.

* Revert "Fix import structure in __init__.py and update config loading logic in test_config.py"

This reverts commit 2ad5e8bca25aede3b912da22bd57285b598fe171.

* Fix typos

* Fix typos

* Fix typos

* Fix a typo: tranform -> transform

src/diffusers/schedulers/scheduling_repaint.py

@@ -78,7 +78,7 @@ def betas_for_alpha_bar(
             return math.exp(t * -12.0)
 
     else:
-        raise ValueError(f"Unsupported alpha_tranform_type: {alpha_transform_type}")
+        raise ValueError(f"Unsupported alpha_transform_type: {alpha_transform_type}")
 
     betas = []
     for i in range(num_diffusion_timesteps):

src/diffusers/schedulers/scheduling_sasolver.py

@@ -62,7 +62,7 @@ def betas_for_alpha_bar(
             return math.exp(t * -12.0)
 
     else:
-        raise ValueError(f"Unsupported alpha_tranform_type: {alpha_transform_type}")
+        raise ValueError(f"Unsupported alpha_transform_type: {alpha_transform_type}")
 
     betas = []
     for i in range(num_diffusion_timesteps):
@@ -216,7 +216,7 @@ class SASolverScheduler(SchedulerMixin, ConfigMixin):
     @property
     def step_index(self):
         """
-        The index counter for current timestep. It will increae 1 after each scheduler step.
+        The index counter for current timestep. It will increase 1 after each scheduler step.
         """
         return self._step_index
 

src/diffusers/schedulers/scheduling_tcd.py

@@ -83,7 +83,7 @@ def betas_for_alpha_bar(
             return math.exp(t * -12.0)
 
     else:
-        raise ValueError(f"Unsupported alpha_tranform_type: {alpha_transform_type}")
+        raise ValueError(f"Unsupported alpha_transform_type: {alpha_transform_type}")
 
     betas = []
     for i in range(num_diffusion_timesteps):

src/diffusers/schedulers/scheduling_unclip.py

@@ -79,7 +79,7 @@ def betas_for_alpha_bar(
             return math.exp(t * -12.0)
 
     else:
-        raise ValueError(f"Unsupported alpha_tranform_type: {alpha_transform_type}")
+        raise ValueError(f"Unsupported alpha_transform_type: {alpha_transform_type}")
 
     betas = []
     for i in range(num_diffusion_timesteps):

src/diffusers/schedulers/scheduling_unipc_multistep.py

@@ -61,7 +61,7 @@ def betas_for_alpha_bar(
             return math.exp(t * -12.0)
 
     else:
-        raise ValueError(f"Unsupported alpha_tranform_type: {alpha_transform_type}")
+        raise ValueError(f"Unsupported alpha_transform_type: {alpha_transform_type}")
 
     betas = []
     for i in range(num_diffusion_timesteps):
@@ -202,7 +202,7 @@ class UniPCMultistepScheduler(SchedulerMixin, ConfigMixin):
     @property
     def step_index(self):
         """
-        The index counter for current timestep. It will increae 1 after each scheduler step.
+        The index counter for current timestep. It will increase 1 after each scheduler step.
         """
         return self._step_index
 

tests/schedulers/test_scheduler_edm_euler.py

@@ -140,7 +140,7 @@ class EDMEulerSchedulerTest(SchedulerCommonTest):
         self.assertEqual(output_0.shape, sample.shape)
         self.assertEqual(output_0.shape, output_1.shape)
 
-    # Override test_from_save_pretrined to use EDMEulerScheduler-specific logic
+    # Override test_from_save_pretrained to use EDMEulerScheduler-specific logic
     def test_scheduler_outputs_equivalence(self):
         def set_nan_tensor_to_zero(t):
             t[t != t] = 0

tests/schedulers/test_schedulers.py

@@ -782,7 +782,7 @@ class SchedulerCommonTest(unittest.TestCase):
             # no warning should be thrown
             assert cap_logger.out == ""
 
-            logger = logging.get_logger("diffusers.schedulers.schedulering_utils")
+            logger = logging.get_logger("diffusers.schedulers.scheduling_utils")
             # 30 for warning
             logger.setLevel(30)
             with CaptureLogger(logger) as cap_logger: