code: def indices(dimensions, dtype=int):
      """Returns an array representing the indices of a grid.
  
      Computes an array where the subarrays contain index values 0,1,...
      varying only along the corresponding axis.
  
      Args:
          dimensions: The shape of the grid.
          dtype: Data type specifier. It is int by default.
  
      Returns:
          ndarray:
          The array of grid indices,
          ``grid.shape = (len(dimensions),) + tuple(dimensions)``.
  
      Examples
      --------
      >>> grid = cupy.indices((2, 3))
      >>> grid.shape
      (2, 2, 3)
      >>> grid[0]        # row indices
      array([[0, 0, 0],
             [1, 1, 1]])
      >>> grid[1]        # column indices
      array([[0, 1, 2],
             [0, 1, 2]])
  
      .. seealso:: :func:`numpy.indices`
  
      """
      dimensions = tuple(dimensions)
      N = len(dimensions)
      shape = (1,) * N
      res = cupy.empty((N,) + dimensions, dtype=dtype)
      for i, dim in enumerate(dimensions):
          res[i] = cupy.arange(dim, dtype=dtype).reshape(
              shape[:i] + (dim,) + shape[i + 1 :]
          )
      return res
  
imports: import functools
  import numbers
  import operator
  import numpy
  import cupy
  from cupy._creation import from_data
  from cupy._manipulation import join
label_desc: Use image node_id 1 for calling a global function with example usage: indices(dimensions, dtype) and returns: res