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