tf.data.DatasetSpec

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Type specification for tf.data.Dataset.

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.data.DatasetSpec, tf.compat.v1.data.experimental.DatasetStructure

tf.data.DatasetSpec(
    element_spec, dataset_shape=()
)

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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@staticmethod
from_value(
    value
)

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

is_compatible_with

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is_compatible_with(
    spec_or_value
)

Returns true if spec_or_value is compatible with this TypeSpec.

most_specific_compatible_type

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most_specific_compatible_type(
    other
)

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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__eq__(
    other
)

Return self==value.

__ne__

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__ne__(
    other
)

Return self!=value.