diff --git a/src/transformers/utils/import_utils.py b/src/transformers/utils/import_utils.py
index c0a8c80f0b09..064ff69554df 100644
--- a/src/transformers/utils/import_utils.py
+++ b/src/transformers/utils/import_utils.py
@@ -264,27 +264,7 @@ def is_torch_bf16_gpu_available():
         return False
 
     import torch
-
-    # since currently no utility function is available we build our own.
-    # some bits come from https://github.com/pytorch/pytorch/blob/2289a12f21c54da93bf5d696e3f9aea83dd9c10d/torch/testing/_internal/common_cuda.py#L51
-    # with additional check for torch version
-    # to succeed: (torch is required to be >= 1.10 anyway)
-    # 1. the hardware needs to support bf16 (GPU arch >= Ampere, or CPU)
-    # 2. if using gpu, CUDA >= 11
-    # 3. torch.autocast exists
-    # XXX: one problem here is that it may give invalid results on mixed gpus setup, so it's
-    # really only correct for the 0th gpu (or currently set default device if different from 0)
-    if torch.cuda.is_available() and torch.version.cuda is not None:
-        if torch.cuda.get_device_properties(torch.cuda.current_device()).major < 8:
-            return False
-        if int(torch.version.cuda.split(".")[0]) < 11:
-            return False
-        if not hasattr(torch.cuda.amp, "autocast"):
-            return False
-    else:
-        return False
-
-    return True
+    return torch.cuda.is_bf16_supported()
 
 
 def is_torch_bf16_cpu_available():