tf.TensorArraySpec

Type specification for a tf.TensorArray.

Inherits From: TypeSpec

Compat aliases for migration

tf.compat.v1.TensorArraySpec

tf.TensorArraySpec(
    element_shape=None, dtype=tf.dtypes.float32, dynamic_size=False,
    infer_shape=True
)

Args
`element_shape`	The shape of each element in the `TensorArray`.
`dtype`	Data type of the `TensorArray`.
`dynamic_size`	Whether the `TensorArray` can grow past its initial size.
`infer_shape`	Whether shape inference is enabled.

Attributes
`value_type`

Methods

@staticmethod
from_value(
    value
)

is_compatible_with(
    other
)

Returns true if spec_or_value is compatible with this TypeSpec.

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__(
    other
)

Return self==value.

__ne__(
    other
)

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/r2.3/api_docs/python/tf/TensorArraySpec