| # Copyright 2018 The TensorFlow Authors. All Rights Reserved. |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # ============================================================================== |
| """Experimental API for matching input filenames.""" |
| |
| from __future__ import absolute_import |
| from __future__ import division |
| from __future__ import print_function |
| |
| 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 as ged_ops |
| |
| |
| class MatchingFilesDataset(dataset_ops.DatasetSource): |
| """A `Dataset` that list the files according to the input patterns.""" |
| |
| 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) |
| |
| @property |
| def element_spec(self): |
| return tensor_spec.TensorSpec([], dtypes.string) |