Repository: huggingface/transformers
Pull request: fix: bf16 with TPU is allowed in configuration

# What does this PR do?

TPUs now support bfloat16 (bf16). But current version of transformers would raise an error `"Your setup doesn't support bf16/gpu."` if bf16 is enabled on TPU.


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- [] Did you write any new necessary tests? (no need)


## Who can review?
@zach-huggingface and @SunMarc
Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
members/contributors who may be interested in your PR.

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Changed files:
filename: src/transformers/training_args.py
patch: @@ -1692,7 +1692,7 @@ def __post_init__(self):
                     # cpu
                     raise ValueError("Your setup doesn't support bf16/(cpu, tpu, neuroncore). You need torch>=1.10")
                 elif not self.use_cpu:
-                    if not is_torch_bf16_gpu_available():
+                    if not is_torch_bf16_gpu_available() and not is_torch_xla_available():  # added for tpu support
                         error_message = "Your setup doesn't support bf16/gpu."
                         if is_torch_cuda_available():
                             error_message += " You need Ampere+ GPU with cuda>=11.0"