No more dtype_byte_size() (#37144)

* No more dtype_byte_size()

* Remove function once again

* Fix rebase cruft

* Trigger tests

tests/utils/test_modeling_utils.py

@@ -116,7 +116,6 @@ if is_torch_available():
     from transformers.modeling_utils import (
         _find_disjoint,
         _find_identical,
-        dtype_byte_size,
     )
     from transformers.pytorch_utils import isin_mps_friendly
 
@@ -704,31 +703,6 @@ class ModelUtilsTest(TestCasePlus):
             model = AutoModelForCausalLM.from_config(config=config, attn_implementation=requested_attn_implementation)
             self.assertEqual(model.config._attn_implementation, requested_attn_implementation)
 
-    def test_torch_dtype_byte_sizes(self):
-        torch_dtypes_and_bytes = [
-            (torch.double, 8),
-            (torch.float64, 8),
-            (torch.float, 4),
-            (torch.float32, 4),
-            (torch.half, 2),
-            (torch.float16, 2),
-            (torch.bfloat16, 2),
-            (torch.long, 8),
-            (torch.int64, 8),
-            (torch.int, 4),
-            (torch.int32, 4),
-            (torch.short, 2),
-            (torch.int16, 2),
-            (torch.uint8, 1),
-            (torch.int8, 1),
-            (torch.float8_e4m3fn, 1),
-            (torch.float8_e5m2, 1),
-            (torch.bool, 0.125),
-        ]
-
-        for torch_dtype, bytes_per_element in torch_dtypes_and_bytes:
-            self.assertEqual(dtype_byte_size(torch_dtype), bytes_per_element)
-
     def test_no_super_init_config_and_model(self):
         config = NoSuperInitConfig(attribute=32)
         model = NoSuperInitModel(config)