|TensorFlow 1 version||View source on GitHub|
tf.sparse.add of elements across dimensions of a SparseTensor.
tf.sparse.reduce_sum( sp_input, axis=None, keepdims=None, output_is_sparse=False, name=None )
Used in the notebooks
|Used in the tutorials|
This is the reduction operation for the elementwise
This Op takes a SparseTensor and is the sparse counterpart to
tf.reduce_sum(). In particular, this Op also returns a dense
False, or a
sp_input along the dimensions given in
true, the rank of the tensor is reduced by 1 for each entry in
keepdims is true, the reduced dimensions are retained with length 1.
axis has no entries, all dimensions are reduced, and a tensor
with a single element is returned. Additionally, the