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# Copyright 2023 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. | |
# Copyright 2020 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. | |
# ============================================================================== | |
"""Utility library for picking an appropriate dataset function.""" | |
import functools | |
from typing import Any, Callable, Type, Union | |
import tensorflow as tf, tf_keras | |
PossibleDatasetType = Union[Type[tf.data.Dataset], Callable[[tf.Tensor], Any]] | |
def pick_dataset_fn(file_type: str) -> PossibleDatasetType: | |
if file_type == 'tfrecord': | |
return tf.data.TFRecordDataset | |
if file_type == 'tfrecord_compressed': | |
return functools.partial(tf.data.TFRecordDataset, compression_type='GZIP') | |
raise ValueError('Unrecognized file_type: {}'.format(file_type)) | |