tf.compat.v1.ragged.RaggedTensorValue

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Represents the value of a RaggedTensor.

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

Warning: RaggedTensorValue should only be used in graph mode; in eager mode, the tf.RaggedTensor class contains its value directly.

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

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to_list()

Returns this ragged tensor value as a nested Python list.