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|
Represents the value of a RaggedTensor.
tf.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
to_list()
Returns this ragged tensor value as a nested Python list.