code: def to_numpy(self, data, *, byte_order=None):
      if not isinstance(data, numpy.ndarray):
          data = data.get()
      if byte_order:
          dtype = data.dtype.newbyteorder(byte_order)
          data = numpy.asarray(data, dtype=dtype)
      return data
  
imports: import numpy
  from ..None import registry
  from ..compat import cupy, cupyx
  from ..types import DeviceTypes
  from ..util import is_cupy_array, is_mxnet_gpu_array, is_tensorflow_gpu_array, is_torch_cuda_array, mxnet2xp, tensorflow2xp, torch2xp
  from .None import _custom_kernels
  from .numpy_ops import NumpyOps
  from .ops import Ops
label_desc: Use image node_id 2 for calling the CupyOps obj's underlying member method code with example usage: obj.to_numpy(data) and returns: data