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tf.data.experimental.Structure

Class Structure

Defined in tensorflow/python/data/util/structure.py.

Represents structural information, such as type and shape, about a value.

A Structure generalizes the tf.Tensor.dtype and tf.Tensor.shape properties, so that we can define generic containers of objects including:

TODO(b/110122868): In the future, a single Structure will replace the tf.data.Dataset.output_types, tf.data.Dataset.output_shapes, and tf.data.Dataset.output_classes, and similar properties and arguments in the tf.data.Iterator and Optional classes.

Methods

from_value

@staticmethod
from_value(value)

Returns a Structure that represents the given value.

Args:

  • value: A potentially structured value.

Returns:

A Structure that is compatible with value.

Raises:

  • TypeError: If a structure cannot be built for value, because its type or one of its component types is not supported.

is_compatible_with

is_compatible_with(other)

Returns True if other is compatible with this structure.

A structure t is a "subtype" of s if:

Args:

  • other: A Structure.

Returns:

True if other is a subtype of this structure, otherwise False.