code: def ones(shape, dtype, order="C", allocator=drv.mem_alloc):
      """
      Return an array of the given shape and dtype filled with ones.
  
      Parameters
      ----------
      shape : tuple
          Array shape.
      dtype : data-type
          Data type for the array.
      order : {'C', 'F'}, optional
          Create array using row-major or column-major format.
      allocator : callable, optional
          Returns an object that represents the memory allocated for
          the requested array.
  
      Returns
      -------
      out : pycuda.gpuarray.GPUArray
          Array of ones with the given shape, dtype, and order.
      """
  
      out = gpuarray.GPUArray(shape, dtype, allocator, order=order)
      o = np.ones((), dtype)
      out.fill(o)
      return out
  
imports: from __future__ import absolute_import, division
  import atexit
  import numbers
  from string import Template
  import pycuda.driver
  import pycuda.gpuarray
  import pycuda.elementwise
  import pycuda.reduction
  import pycuda.scan
  import pycuda.tools
  from pycuda.tools import context_dependent_memoize, dtype_to_ctype
  from pycuda.compiler import SourceModule
  from pytools import memoize
  import numpy
  from .None import cuda
  from .None import cublas
  import sys
  import operator
label_desc: Use image node_id 12 for calling a global function with example usage: ones(shape, dtype, order, allocator) and returns: out