tf.RaggedTensorSpec

TensorFlow 1 version View source on GitHub

Type specification for a tf.RaggedTensor.

tf.RaggedTensorSpec(
    shape=None, dtype=tf.dtypes.float32, ragged_rank=None,
    row_splits_dtype=tf.dtypes.int64
)

shape The shape of the RaggedTensor, or None to allow any shape. If a shape is specified, then all ragged dimensions must have size None.
dtype tf.DType of values in the RaggedTensor.
ragged_rank Python integer, the ragged rank of the RaggedTensor to be described. Defaults to shape.ndims - 1.
row_splits_dtype dtype for the RaggedTensor's row_splits tensor. One of tf.int32 or tf.int64.

value_type The Python type for values that are compatible with this TypeSpec.

In particular, all values that are compatible with this TypeSpec must be an instance of this type.

Methods

from_value

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@classmethod
from_value(
    value
)

is_compatible_with

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is_compatible_with(
    spec_or_value
)

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.