Slice a SparseTensor
based on the start
and `size.
tf.sparse.slice(
sp_input, start, size, name=None
)
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 .
|