code: def __init__(
      self,
      batch_size,
      data,
      shuffle=False,
      stride=1,
      step=-1,
      device_id=0,
      num_shards=1,
      dtype=types.FLOAT,
      sequence_length=COUNT,
  ):
      super().__init__(
          batch_size, num_threads=2, device_id=device_id, seed=12
      )
      self.input = ops.readers.Video(
          device="gpu",
          filenames=data,
          sequence_length=sequence_length,
          shard_id=0,
          num_shards=num_shards,
          random_shuffle=shuffle,
          normalized=True,
          image_type=types.YCbCr,
          dtype=dtype,
          step=step,
          stride=stride,
      )
  
imports: import os
  import math
  from test_utils import get_gpu_num
  from test_utils import get_dali_extra_path
  import nvidia.dali.ops
  import nvidia.dali.types
  from nvidia.dali.pipeline import Pipeline, pipeline_def
  import nvidia.dali.fn
  import numpy
  import tempfile
  from test_utils import check_output_pattern
  from nose_utils import assert_raises, raises
label_desc: Use image node_id 1 to create a new VideoPipe object from inherited base classes: Pipeline with example: obj = VideoPipe(batch_size, data, shuffle, stride, step, device_id, num_shards, dtype, sequence_length)