code: def asarray(self, data, dtype=None):
      # We'll try to perform a zero-copy conversion if possible.
      if is_cupy_array(data):
          array = self.xp.asarray(data, dtype=dtype)
      elif is_torch_cuda_array(data):
          array = torch2xp(data)
      elif is_tensorflow_gpu_array(data):
          array = tensorflow2xp(data)
      elif is_mxnet_gpu_array(data):
          array = mxnet2xp(data)
      else:
          array = self.xp.array(data, dtype=dtype)
  
      if dtype is not None:
          array = array.astype(dtype=dtype, copy=False)
  
      return array
  
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 9 for calling the CupyOps obj's underlying member method code with example usage: obj.asarray(data, dtype) and returns: array