class_docstr: A `Dataset` that list the files according to the input patterns.
code: def __init__(self, patterns):
      self._patterns = ops.convert_to_tensor(
          patterns, dtype=dtypes.string, name="patterns"
      )
      variant_tensor = ged_ops.matching_files_dataset(self._patterns)
      super(MatchingFilesDataset, self).__init__(variant_tensor)
  
file_path: tensorflow/tensorflow/python/data/experimental/ops/matching_files.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_experimental_dataset_ops
label_desc: Use image node_id 1 to create a new MatchingFilesDataset object from inherited base classes: dataset_ops with example: obj = MatchingFilesDataset(patterns)