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tf.TensorArraySpec

TensorFlow 1 version View source on GitHub

Type specification for a tf.TensorArray.

Inherits From: TypeSpec

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

__eq__

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__eq__(
    other
)

Return self==value.

__ne__

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__ne__(
    other
)

Return self!=value.

from_value

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@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.