class_docstr: Nvidia GPU accelerators.
class_docstr_tok: ["Nvidia","GPU","accelerators","."]
code: def get_ec2_instance_num_accelerators(
      instance_type: str, instances: dict
  ) -> Optional[int]:
      if instance_type not in instances:
          return None
  
      gpus = instances[instance_type].get("GpuInfo", {}).get("Gpus")
      if gpus is not None:
          # TODO(ameer): currently we support one gpu type per node.
          assert len(gpus) == 1
          return gpus[0]["Count"]
      return None
  
file_path: ray/python/ray/_private/accelerators/nvidia_gpu.py
imports: import re
  import os
  import logging
  from typing import Optional, List, Tuple
  from ray._private.accelerators.accelerator import AcceleratorManager
label_desc: Use image node_id 9 for calling the NvidiaGPUAcceleratorManager obj's underlying member method code with example usage: obj.get_ec2_instance_num_accelerators(instance_type, instances) and returns: None, None, gpus