code: def seed_getter_unique(n):
      result = np.random.randint(0, 2**31 - 1, n).astype(np.int32)
      return pycuda.gpuarray.to_gpu(result)
  
imports: import numpy
  import pycuda.compiler
  import pycuda.driver
  import pycuda.gpuarray
  from pytools import memoize_method
label_desc: Use image node_id 3 for calling a global function with example usage: seed_getter_unique(n) and returns: pycuda