Split a SparseTensor
into num_split
tensors along axis
.
tf.compat.v2.sparse.split(
sp_input=None, num_split=None, axis=None, name=None
)
If the sp_input.dense_shape[axis]
is not an integer multiple of num_split
each slice starting from 0:shape[axis] % num_split
gets extra one
dimension. For example, if axis = 1
and num_split = 2
and the
input is:
input_tensor = shape = [2, 7]
[ a d e ]
[b c ]
Graphically the output tensors are:
output_tensor[0] =
[ a ]
[b c ]
output_tensor[1] =
[ d e ]
[ ]
Args |
sp_input
|
The SparseTensor to split.
|
num_split
|
A Python integer. The number of ways to split.
|
axis
|
A 0-D int32 Tensor . The dimension along which to split.
|
name
|
A name for the operation (optional).
|
Returns |
num_split SparseTensor objects resulting from splitting value .
|
Raises |
TypeError
|
If sp_input is not a SparseTensor .
|