code: def cupy_simple(in1, in2):
      fin1 = [arr.astype(cupy.float32) for arr in in1]
      fin2 = [arr.astype(cupy.float32) for arr in in2]
      return [
          cupy.sin(fin1[i] * fin2[i]).astype(cupy.float32)
          for i in range(BATCH_SIZE)
      ], [
          cupy.cos(fin1[i] * fin2[i]).astype(cupy.float32)
          for i in range(BATCH_SIZE)
      ]
  
imports: import numpy
  import nvidia.dali.ops
  import nvidia.dali.types
  import os
  import random
  from functools import partial
  from nvidia.dali.pipeline import Pipeline
  from nvidia.dali import fn, pipeline_def
  from nvidia.dali.python_function_plugin import current_dali_stream
label_desc: Use image node_id 26 for calling a global function with example usage: cupy_simple(in1, in2) and returns: unknown,  unknown