tf.RaggedTensorSpec

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Type specification for a tf.RaggedTensor.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.RaggedTensorSpec

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

Args
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.

Attributes
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.