tf.data.DatasetSpec

Type specification for tf.data.Dataset.

Inherits From: TypeSpec

See tf.TypeSpec for more information about TensorFlow type specifications.

dataset = tf.data.Dataset.range(3)
tf.data.DatasetSpec.from_value(dataset)
DatasetSpec(TensorSpec(shape=(), dtype=tf.int64, name=None), TensorShape([]))
Attributes
value_type The Python type for values that are compatible with this TypeSpec.

In particular, all values that are compatible with this TypeSpec must be an instance of this type.

Methods

from_value

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Creates a DatasetSpec for the given tf.data.Dataset value.

is_compatible_with

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Returns true if spec_or_value is compatible with this TypeSpec.

most_specific_compatible_type

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Returns the most specific TypeSpec compatible with self and other.

Args
other A TypeSpec.
Raises
ValueError If there is no TypeSpec that is compatible with both self and other.

__eq__

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Return self==value.

__ne__

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Return self!=value.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/data/DatasetSpec