class_docstr: A `Dataset` that drops erroneous elements from its input.
class_docstr_tok: ["A","`","Dataset","`","that","drops","erroneous","elements","from","its","input","."]
docstr: See `Dataset.ignore_errors` for details.
docstr_tok: ["See","`","Dataset.ignore_errors","`","for","details","."]
code: def __init__(self, input_dataset, log_warning, name=None):
      """See `Dataset.ignore_errors` for details."""
      self._input_dataset = input_dataset
      self._name = name
      variant_tensor = gen_experimental_dataset_ops.ignore_errors_dataset(
          self._input_dataset._variant_tensor,  # pylint: disable=protected-access
          log_warning=log_warning,
          **self._flat_structure,
      )
      super().__init__(input_dataset, variant_tensor)
  
imports: from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.ops import gen_experimental_dataset_ops
label_desc: Use image node_id 1 to create a new _IgnoreErrorsDataset object from inherited base classes: dataset_ops with example: obj = _IgnoreErrorsDataset(input_dataset, log_warning, name)