code: def kron(a, b):
      """Returns the kronecker product of two arrays.
  
      Args:
          a (~cupy.ndarray): The first argument.
          b (~cupy.ndarray): The second argument.
  
      Returns:
          ~cupy.ndarray: Output array.
  
      .. seealso:: :func:`numpy.kron`
  
      """
      a_isnumber = isinstance(a, numbers.Number)
      b_isnumber = isinstance(b, numbers.Number)
      if a_isnumber and b_isnumber:
          return a * b
      if a_isnumber or b_isnumber:
          return cupy.multiply(a, b)
  
      a_ndim = a.ndim
      b_ndim = b.ndim
      if a_ndim == 0 or b_ndim == 0:
          return cupy.multiply(a, b)
  
      ndim = b_ndim
      a_shape = a.shape
      b_shape = b.shape
      if a_ndim != b_ndim:
          if b_ndim > a_ndim:
              a_shape = (1,) * (b_ndim - a_ndim) + a_shape
          else:
              b_shape = (1,) * (a_ndim - b_ndim) + b_shape
              ndim = a_ndim
  
      axis = ndim - 1
      out = _core.tensordot_core(
          a, b, None, a.size, b.size, 1, a_shape + b_shape
      )
      for _ in range(ndim):
          out = _core.concatenate_method(out, axis=axis)
  
      return out
  
file_path: cupy/cupy/linalg/_product.py
imports: import collections.abc
  import numbers
  import numpy
  import cupy
  from cupy import _core
  from cupy._core import internal
  from cupy._core._gufuncs import _GUFunc
  from cupy.linalg import _solve
  from cupy.linalg import _util
label_desc: Use image node_id 8 for calling a global function with example usage: kron(a, b) and returns: out, unknown, cupy, cupy