code: def test_normal_distribution_scalar_and_one_elem():
      niter = 3
      batch_size = 3
      mean = 100.0
      stddev = 20.0
      for device in ("cpu", "gpu"):
          for dtype in [types.FLOAT, types.INT16]:
              for shape in [None, (), (1,)]:
                  yield (
                      check_normal_distribution,
                      device,
                      dtype,
                      shape,
                      False,
                      False,
                      mean,
                      stddev,
                      False,
                      None,
                      niter,
                      batch_size,
                  )
  
file_path: DALI/dali/test/python/operator_1/test_normal_distribution.py
imports: from nvidia.dali.pipeline import Pipeline
  from nvidia.dali.backend_impl import TensorListGPU
  import nvidia.dali.fn
  import nvidia.dali.types
  import numpy
  import scipy.stats
  import random
label_desc: Use image node_id 5 for calling a global function with example usage: test_normal_distribution_scalar_and_one_elem() without return types