tf.sparse.slice | TensorFlow v2.16.1 (original) (raw)
tf.sparse.slice
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Slice a SparseTensor
based on the start
and size
.
View aliases
Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.sparse.slice, tf.compat.v1.sparse_slice
tf.sparse.slice(
sp_input, start, size, name=None
)
Used in the notebooks
Used in the guide |
---|
Working with sparse tensors |
For example, if the input is
input_tensor = shape = [2, 7]
[ a d e ]
[b c ]
Graphically the output tensors are:
sparse.slice([0, 0], [2, 4]) = shape = [2, 4]
[ a ]
[b c ]
sparse.slice([0, 4], [2, 3]) = shape = [2, 3]
[ d e ]
[ ]
Args | |
---|---|
sp_input | The SparseTensor to split. |
start | 1-D. tensor represents the start of the slice. |
size | 1-D. tensor represents the size of the slice. |
name | A name for the operation (optional). |
Returns |
---|
A SparseTensor objects resulting from splicing. |
Raises | |
---|---|
TypeError | If sp_input is not a SparseTensor. |