code: def to_backend(cls, data: Array, **kwargs):
      if isinstance(data._meta, np.ndarray):
          # Already a numpy-backed collection
          return data
      return data.map_blocks(cls.to_backend_dispatch(), **kwargs)
  
imports: from __future__ import annotations
  import math
  import numpy
  from dask.array import chunk
  from dask.array.core import Array
  from dask.array.dispatch import concatenate_lookup, divide_lookup, einsum_lookup, empty_lookup, nannumel_lookup, numel_lookup, percentile_lookup, tensordot_lookup, to_cupy_dispatch, to_numpy_dispatch
  from dask.array.numpy_compat import divide
  from dask.array.numpy_compat import ma_divide
  from dask.array.percentile import _percentile
  from dask.backends import CreationDispatch, DaskBackendEntrypoint
label_desc: Use image node_id 2 for calling the NumpyBackendEntrypoint obj's underlying member method code with example usage: obj.to_backend(cls, data) and returns: data, data