tf.data

TensorFlow 1 version

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Type specification for tf.data.Dataset.

Inherits From: TypeSpec

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`

View source

@staticmethod
from_value(
    value
)

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

`is_compatible_with`

View source

is_compatible_with(
    spec_or_value
)

Returns true if spec_or_value is compatible with this TypeSpec.

`most_specific_compatible_type`

View source

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`

View source

__eq__(
    other
)

Return self==value.

`ne`

View source

__ne__(
    other
)

Return self!=value.

TensorFlow

tf

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tf.data / Overview

View aliases

Attributes

Methods

from_value

is_compatible_with

most_specific_compatible_type

__eq__

__ne__

`from_value`

`is_compatible_with`

`most_specific_compatible_type`

`eq`

`ne`