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tf.compat.v1.ragged.RaggedTensorValue

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

View source

to_list()

Returns this ragged tensor value as a nested Python list.

© 2022 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 4.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/compat/v1/ragged/RaggedTensorValue

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