Rerun torch dummy obj regen

Author: alex-jw-brooks

src/transformers/utils/dummy_pt_objects.py

@@ -4988,70 +4988,70 @@ def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteMoeForCausalLM(metaclass=DummyObject):
+class GraniteSpeechEncoderProjectorPreTrainedModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteMoeModel(metaclass=DummyObject):
+class GraniteSpeechForConditionalGeneration(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteMoePreTrainedModel(metaclass=DummyObject):
+class GraniteSpeechPreTrainedModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteMoeSharedForCausalLM(metaclass=DummyObject):
+class GraniteSpeechQFormerModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteMoeSharedModel(metaclass=DummyObject):
+class GraniteMoeForCausalLM(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteMoeSharedPreTrainedModel(metaclass=DummyObject):
+class GraniteMoeModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteSpeechForConditionalGeneration(metaclass=DummyObject):
+class GraniteMoePreTrainedModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteSpeechPreTrainedModel(metaclass=DummyObject):
+class GraniteMoeSharedForCausalLM(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteSpeechEncoderProjectorPreTrainedModel(metaclass=DummyObject):
+class GraniteMoeSharedModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torch"])
 
 
-class GraniteSpeechQFormerModel(metaclass=DummyObject):
+class GraniteMoeSharedPreTrainedModel(metaclass=DummyObject):
     _backends = ["torch"]
 
     def __init__(self, *args, **kwargs):

src/transformers/utils/dummy_torchaudio_objects.py

@@ -2,28 +2,28 @@
 from ..utils import DummyObject, requires_backends
 
 
-class MusicgenMelodyFeatureExtractor(metaclass=DummyObject):
+class GraniteSpeechFeatureExtractor(metaclass=DummyObject):
     _backends = ["torchaudio"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torchaudio"])
 
 
-class MusicgenMelodyProcessor(metaclass=DummyObject):
+class GraniteSpeechProcessor(metaclass=DummyObject):
     _backends = ["torchaudio"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torchaudio"])
 
 
-class GraniteSpeechFeatureExtractor(metaclass=DummyObject):
+class MusicgenMelodyFeatureExtractor(metaclass=DummyObject):
     _backends = ["torchaudio"]
 
     def __init__(self, *args, **kwargs):
         requires_backends(self, ["torchaudio"])
 
 
-class GraniteSpeechProcessor(metaclass=DummyObject):
+class MusicgenMelodyProcessor(metaclass=DummyObject):
     _backends = ["torchaudio"]
 
     def __init__(self, *args, **kwargs):