class_docstr: A `Dataset` of a step separated range of values.
docstr: See `Dataset.range()` for details.
code: def __init__(self, *args, **kwargs):
      """See `Dataset.range()` for details."""
      self._parse_args(*args, **kwargs)
      self._structure = tensor_spec.TensorSpec([], self._output_type)
      variant_tensor = gen_dataset_ops.range_dataset(
          start=self._start,
          stop=self._stop,
          step=self._step,
          **self._common_args,
      )
      super().__init__(variant_tensor)
  
file_path: tensorflow/tensorflow/python/data/ops/range_op.py
imports: from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import gen_dataset_ops
label_desc: Use image node_id 1 to create a new _RangeDataset object from inherited base classes: dataset_ops with example: obj = _RangeDataset()