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
View source
to_list ()
Returns this ragged tensor value as a nested Python list.
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Last updated 2023-03-17 UTC.
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