# Class TensorArraySpec

tf.TensorArrayType specification for a .

TypeSpecInherits From:

# Aliases:

• Class tf.compat.v1.TensorArraySpec
• Class tf.compat.v2.TensorArraySpec

# init

View source

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

tf.TensorArrayConstructs a type specification for a .

# 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.

# Properties

# value_type

# Methods

# eq

View source

 __eq__(other)

Return self==value.

# ne

View source

 __ne__(other)

Return self!=value.

# from_value

View source

 @staticmethod
from_value(value)

# is_compatible_with

View source

 is_compatible_with(other)

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.