class_docstr: A `Dataset` skipping the first `count` elements from its input.
docstr: See `Dataset.skip()` for details.
docstr_tok: ["See","`","Dataset.skip","(",")","`","for","details","."]
code: def __init__(self, input_dataset, count, name=None):
      """See `Dataset.skip()` for details."""
      self._input_dataset = input_dataset
      self._count = ops.convert_to_tensor(
          count, dtype=dtypes.int64, name="count"
      )
      self._name = name
      variant_tensor = gen_dataset_ops.skip_dataset(
          input_dataset._variant_tensor,  # pylint: disable=protected-access
          count=self._count,
          **self._common_args,
      )
      super().__init__(input_dataset, variant_tensor)
  
file_path: tensorflow-upstream/tensorflow/python/data/ops/skip_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.ops import gen_dataset_ops
label_desc: Use image node_id 1 to create a new _SkipDataset object from inherited base classes: dataset_ops with example: obj = _SkipDataset(input_dataset, count, name)