tf.compat.v1.ragged.RaggedTensorValue

Represents the value of a RaggedTensor.

tf.compat.v1.ragged.RaggedTensorValue(
    values, row_splits
)

See tf.RaggedTensor for a description of ragged tensors.

Args
`values`	A numpy array of any type and shape; or a RaggedTensorValue.
`row_splits`	A 1-D int32 or int64 numpy array.

Attributes
`dtype`	The numpy dtype of values in this tensor.
`flat_values`	The innermost `values` array for this ragged tensor value.
`nested_row_splits`	The row_splits for all ragged dimensions in this ragged tensor value.
`ragged_rank`	The number of ragged dimensions in this ragged tensor value.
`row_splits`	The split indices for the ragged tensor value.
`shape`	A tuple indicating the shape of this RaggedTensorValue.
`values`	The concatenated values for all rows in this tensor.

Methods

to_list()

Returns this ragged tensor value as a nested Python list.

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Last updated 2023-10-06 UTC.