tf.RaggedTensorSpec

Type specification for a tf.RaggedTensor.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.RaggedTensorSpec, `tf.compat.v2.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.

Methods

@classmethod
from_value(
    value
)

is_compatible_with(
    spec_or_value
)

Returns true if spec_or_value is compatible with this TypeSpec.

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__(
    other
)

Return self==value.

__ne__(
    other
)

Return self!=value.