tf.TensorArraySpec

Type specification for a tf.TensorArray.

Inherits From: TypeSpec

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.TensorArraySpec, `tf.compat.v2.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

from_value

View source

@staticmethod
from_value(
    value
)

is_compatible_with

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is_compatible_with(
    other
)

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.