Slice a SparseTensor
based on the start
and size
.
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.sparse.slice(
sp_input, start, size, name=None
)
Used in the notebooks
Used in the guide |
---|
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.
|