code: def get_tensor_shape(tensor):
      """Return the shape of the tensor as a list."""
      if isinstance(tensor, numpy.ndarray):
          return list(tensor.shape)
      if torch_available():
          if isinstance(tensor, torch.Tensor):
              return list(tensor.size())
      raise ValueError(
          "Unsupported tensor type. Got: {}. Supported "
          "CPU tensor types are: torch.Tensor, "
          "numpy.ndarray.".format(type(tensor))
      )
  
imports: import asyncio
  import time
  from typing import List
  import numpy
  import ray
  import ray.experimental.internal_kv
  from ray._raylet import GcsClient
  from ray.util.collective.types import ReduceOp, torch_available
  from ray.util.queue import _QueueActor
label_desc: Use image node_id 9 for calling a global function with example usage: get_tensor_shape(tensor) and returns: list, list