code: def dataset_as_numpy(*args, **kwargs):
      """Convert a tf.data.Dataset to a stream of numpy arrays."""
      if "dataset_as_numpy" in backend():
          return backend()["dataset_as_numpy"](*args, **kwargs)
      return JAX_BACKEND["dataset_as_numpy"](*args, **kwargs)
  
imports: import contextlib
  import enum
  import gin
  from trax.fastmath.jax import JAX_BACKEND
  from trax.fastmath.numpy import NUMPY_BACKEND
  from trax.fastmath.tf import TF_BACKEND
label_desc: Use image node_id 37 for calling a global function with example usage: dataset_as_numpy() and returns: JAX_BACKEND, backend