73 lines
2.7 KiB
Python
73 lines
2.7 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 Counter Dataset."""
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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.framework import dtypes
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from tensorflow.python.util import deprecation
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from tensorflow.python.util.tf_export import tf_export
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@tf_export("data.experimental.Counter", v1=[])
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@deprecation.deprecated(None, "Use `tf.data.Dataset.counter(...)` instead.")
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def CounterV2(start=0, step=1, dtype=dtypes.int64):
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"""Creates a `Dataset` that counts from `start` in steps of size `step`.
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Unlike `tf.data.Dataset.range` which will stop at some ending number,
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`Counter` will produce elements indefinitely.
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>>> dataset = tf.data.experimental.Counter().take(5)
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>>> list(dataset.as_numpy_iterator())
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[0, 1, 2, 3, 4]
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>>> dataset.element_spec
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TensorSpec(shape=(), dtype=tf.int64, name=None)
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>>> dataset = tf.data.experimental.Counter(dtype=tf.int32)
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>>> dataset.element_spec
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TensorSpec(shape=(), dtype=tf.int32, name=None)
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>>> dataset = tf.data.experimental.Counter(start=2).take(5)
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>>> list(dataset.as_numpy_iterator())
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[2, 3, 4, 5, 6]
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>>> dataset = tf.data.experimental.Counter(start=2, step=5).take(5)
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>>> list(dataset.as_numpy_iterator())
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[2, 7, 12, 17, 22]
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>>> dataset = tf.data.experimental.Counter(start=10, step=-1).take(5)
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>>> list(dataset.as_numpy_iterator())
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[10, 9, 8, 7, 6]
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Args:
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start: (Optional.) The starting value for the counter. Defaults to 0.
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step: (Optional.) The step size for the counter. Defaults to 1.
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dtype: (Optional.) The data type for counter elements. Defaults to
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`tf.int64`.
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Returns:
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A `Dataset` of scalar `dtype` elements.
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"""
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return dataset_ops.Dataset.counter(start, step, dtype)
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@tf_export(v1=["data.experimental.Counter"])
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@deprecation.deprecated(None, "Use `tf.data.Dataset.counter(...)` instead.")
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def CounterV1(start=0, step=1, dtype=dtypes.int64):
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return dataset_ops.DatasetV1Adapter(CounterV2(start, step, dtype))
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CounterV1.__doc__ = CounterV2.__doc__
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if tf2.enabled():
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Counter = CounterV2
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else:
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Counter = CounterV1
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