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Split a SparseTensor
into num_split
tensors along axis
. (deprecated arguments)
tf.compat.v1.sparse_split(
keyword_required=KeywordRequired(),
sp_input=None,
num_split=None,
axis=None,
name=None,
split_dim=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 ]
[ ]
Returns | |
---|---|
num_split SparseTensor objects resulting from splitting value .
|
Raises | |
---|---|
TypeError
|
If sp_input is not a SparseTensor .
|
ValueError
|
If the deprecated split_dim and axis are both non None.
|