code: def tile(A, reps):
      """Construct an array by repeating A the number of times given by reps.
  
      Args:
          A (cupy.ndarray): Array to transform.
          reps (int or tuple): The number of repeats.
  
      Returns:
          cupy.ndarray: Transformed array with repeats.
  
      .. seealso:: :func:`numpy.tile`
  
      """
      try:
          tup = tuple(reps)
      except TypeError:
          tup = (reps,)
      d = len(tup)
      if tup.count(1) == len(tup) and isinstance(A, cupy.ndarray):
          # Fixes the problem that the function does not make a copy if A is a
          # array and the repetitions are 1 in all dimensions
          return cupy.array(A, copy=True, ndmin=d)
      else:
          # Note that no copy of zero-sized arrays is made. However since they
          # have no data there is no risk of an inadvertent overwrite.
          c = cupy.array(A, copy=False, ndmin=d)
      if d < c.ndim:
          tup = (1,) * (c.ndim - d) + tup
      shape_out = tuple(s * t for s, t in zip(c.shape, tup))
      if c.size == 0:
          return cupy.empty(shape_out, dtype=c.dtype)
      c_shape = []
      ret_shape = []
      for dim_in, nrep in zip(c.shape, tup):
          if nrep == 1:
              c_shape.append(dim_in)
              ret_shape.append(dim_in)
          elif dim_in == 1:
              c_shape.append(dim_in)
              ret_shape.append(nrep)
          else:
              c_shape.append(1)
              c_shape.append(dim_in)
              ret_shape.append(nrep)
              ret_shape.append(dim_in)
      ret = cupy.empty(ret_shape, dtype=c.dtype)
      if ret.size:
          _core.elementwise_copy(c.reshape(c_shape), ret)
      return ret.reshape(shape_out)
  
label_desc: Use image node_id 1 for calling a global function with example usage: tile(A, reps) and returns: ret, cupy, cupy