73 lines
2.9 KiB
Python
73 lines
2.9 KiB
Python
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# Copyright 2017 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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"""The implementation of `tf.data.Dataset.shuffle`."""
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from tensorflow.python import tf2
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from tensorflow.python.data.ops import dataset_ops
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from tensorflow.python.data.util import random_seed
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from tensorflow.python.eager import context
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import gen_dataset_ops
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def _shuffle( # pylint: disable=unused-private-name
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input_dataset,
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buffer_size,
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seed=None,
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reshuffle_each_iteration=None,
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name=None):
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return _ShuffleDataset(
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input_dataset, buffer_size, seed, reshuffle_each_iteration, name=name)
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class _ShuffleDataset(dataset_ops.UnaryUnchangedStructureDataset):
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"""A `Dataset` that randomly shuffles the elements of its input."""
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def __init__(self,
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input_dataset,
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buffer_size,
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seed=None,
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reshuffle_each_iteration=None,
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name=None):
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"""See `Dataset.shuffle()` for details."""
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self._input_dataset = input_dataset
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self._buffer_size = ops.convert_to_tensor(
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buffer_size, dtype=dtypes.int64, name="buffer_size")
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self._seed, self._seed2 = random_seed.get_seed(seed)
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if reshuffle_each_iteration is None:
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reshuffle_each_iteration = True
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self._reshuffle_each_iteration = reshuffle_each_iteration
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self._name = name
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if (tf2.enabled() and
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(context.executing_eagerly() or ops.inside_function())):
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variant_tensor = gen_dataset_ops.shuffle_dataset_v3(
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input_dataset._variant_tensor, # pylint: disable=protected-access
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buffer_size=self._buffer_size,
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seed=self._seed,
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seed2=self._seed2,
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seed_generator=gen_dataset_ops.dummy_seed_generator(),
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reshuffle_each_iteration=self._reshuffle_each_iteration,
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**self._common_args)
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else:
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variant_tensor = gen_dataset_ops.shuffle_dataset(
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input_dataset._variant_tensor, # pylint: disable=protected-access
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buffer_size=self._buffer_size,
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seed=self._seed,
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seed2=self._seed2,
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reshuffle_each_iteration=self._reshuffle_each_iteration,
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**self._common_args)
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super().__init__(input_dataset, variant_tensor)
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