/TensorFlow 2.3


Represents the value of a RaggedTensor.

See tf.RaggedTensor for a description of ragged tensors.

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



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Returns this ragged tensor value as a nested Python list.

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