bug: bentoml not support gpu in mlflow? about bentoml HOT 1 OPEN

    # https://github.com/bentoml/BentoML/blob/main/src/bentoml/_internal/frameworks/mlflow.py#L246
    class MLflowPyfuncRunnable(bentoml.Runnable):
        # The only case that multi-threading may not be supported is when user define a
        # custom python_function MLflow model with pure python code, but there's no way
        # of telling that from the MLflow model metadata. It should be a very rare case,
        # because most custom python_function models are likely numpy code or model
        # inference with pre/post-processing code.
         
        SUPPORTED_RESOURCES = ("cpu", ) 
        SUPPORTS_CPU_MULTI_THREADING = True
        ...

class TestSentenceBert(_sbert_runnable): # override
        SUPPORTED_RESOURCES = ("gpu",)  # <--- need to add "gpu"     force to find gpu
        SUPPORTS_CPU_MULTI_THREADING = True
        
       def __init__(self):
        super().__init__()
   
      @bentoml.Runnable.method(batchable=True, batch_dim=0)
      def predict(self, sentences: List[str]):
          output = super().predict(sentences)
          return output