53 lines
1.9 KiB
Python
53 lines
1.9 KiB
Python
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Experimental API for manually injecting delays into `tf.data` pipelines."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.data.ops import dataset_ops
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from tensorflow.python.ops import gen_experimental_dataset_ops
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class _SleepDataset(dataset_ops.UnaryUnchangedStructureDataset):
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"""A `Dataset` that sleeps before producing each upstream element."""
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def __init__(self, input_dataset, sleep_microseconds):
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self._input_dataset = input_dataset
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self._sleep_microseconds = sleep_microseconds
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variant_tensor = gen_experimental_dataset_ops.sleep_dataset(
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self._input_dataset._variant_tensor, # pylint: disable=protected-access
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self._sleep_microseconds,
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**self._flat_structure)
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super(_SleepDataset, self).__init__(input_dataset, variant_tensor)
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def sleep(sleep_microseconds):
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"""Sleeps for `sleep_microseconds` before producing each input element.
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Args:
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sleep_microseconds: The number of microseconds to sleep before producing an
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input element.
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Returns:
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A `Dataset` transformation function, which can be passed to
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`tf.data.Dataset.apply`.
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"""
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def _apply_fn(dataset):
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return _SleepDataset(dataset, sleep_microseconds)
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return _apply_fn
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