code: def _gpu_sliced_torch_suite():
      g = torch.Generator()
      g.manual_seed(42)
  
      for case_name in (
          "slice_images",
          "slice_grey_images",
          "slice_vid",
          "slice_ndim_11",
      ):
          for dtype in (
              torch.uint8,
              torch.int16,
              torch.float32,
              torch.float64,
          ):
              yield _gpu_sliced_torch_case, case_name, dtype, g
  
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 36 for calling a global function with example usage: _gpu_sliced_torch_suite() without return types