code: def copyto(dst, src):
      """Copies the elements of an ndarray to those of another one.
  
      This function can copy the CPU/GPU arrays to the destination arrays on
      another device.
  
      Args:
          dst (:class:`numpy.ndarray`, :class:`cupy.ndarray`, \
          :class:`ideep4py.mdarray` or :class:`chainerx.ndarray`):
              Destination array.
          src (:class:`numpy.ndarray`, :class:`cupy.ndarray`, \
          :class:`ideep4py.mdarray` or :class:`chainerx.ndarray`):
              Source array.
  
      """
      if isinstance(dst, chainerx.ndarray):
          dst[...] = _chainerx._array_to_chainerx(src, dst.device)
          return
  
      if isinstance(src, chainerx.ndarray):
          src = from_chx(src)
  
      if isinstance(dst, numpy.ndarray):
          numpy.copyto(dst, _cpu._to_cpu(src))
      elif isinstance(dst, intel64.mdarray):
          intel64.ideep.basic_copyto(dst, _cpu._to_cpu(src))
      elif isinstance(dst, cuda.ndarray):
          if isinstance(src, chainer.get_cpu_array_types()):
              src = numpy.asarray(src)
              if src.dtype == dst.dtype and (
                  dst.flags.c_contiguous or dst.flags.f_contiguous
              ):
                  dst.set(src)
              else:
                  cuda.cupy.copyto(
                      dst, cuda.to_gpu(src, device=dst.device)
                  )
          elif isinstance(src, cuda.ndarray):
              cuda.cupy.copyto(dst, src)
          else:
              raise TypeError(
                  "cannot copy from non-array object of type {}".format(
                      type(src)
                  )
              )
      else:
          raise TypeError(
              "cannot copy to non-array object of type {}".format(
                  type(dst)
              )
          )
  
imports: import numpy
  import six
  import chainer
  from chainer.backends import _chainerx
  from chainer.backends import _cpu
  from chainer.backends import cuda
  from chainer.backends import intel64
  import chainerx
  from chainer._backend import Device
  from chainer.backends._chainerx import ChainerxDevice
  from chainer.backends._chainerx import from_chx
  from chainer.backends._chainerx import to_chx
  from chainer.backends._cpu import CpuDevice
  from chainer.backends.cuda import GpuDevice
  from chainer.backends.intel64 import Intel64Device
  from chainer import types
label_desc: Use image node_id 2 for calling a global function with example usage: copyto(dst, src) without return types