1# Copyright 2018 The TensorFlow Authors. All Rights Reserved. 2# 3# Licensed under the Apache License, Version 2.0 (the "License"); 4# you may not use this file except in compliance with the License. 5# You may obtain a copy of the License at 6# 7# http://www.apache.org/licenses/LICENSE-2.0 8# 9# Unless required by applicable law or agreed to in writing, software 10# distributed under the License is distributed on an "AS IS" BASIS, 11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12# See the License for the specific language governing permissions and 13# limitations under the License. 14# ============================================================================== 15"""Experimental API for matching input filenames.""" 16 17from __future__ import absolute_import 18from __future__ import division 19from __future__ import print_function 20 21from tensorflow.python.data.ops import dataset_ops 22from tensorflow.python.data.util import structure 23from tensorflow.python.framework import dtypes 24from tensorflow.python.framework import ops 25from tensorflow.python.ops import gen_experimental_dataset_ops as ged_ops 26 27 28class MatchingFilesDataset(dataset_ops.DatasetSource): 29 """A `Dataset` that list the files according to the input patterns.""" 30 31 def __init__(self, patterns): 32 self._patterns = ops.convert_to_tensor( 33 patterns, dtype=dtypes.string, name="patterns") 34 variant_tensor = ged_ops.experimental_matching_files_dataset(self._patterns) 35 super(MatchingFilesDataset, self).__init__(variant_tensor) 36 37 @property 38 def _element_structure(self): 39 return structure.TensorStructure(dtypes.string, []) 40