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Computes the sum of elements across dimensions of a SparseTensor. (deprecated arguments) (deprecated arguments)
tf.sparse.reduce_sum( sp_input, axis=None, keepdims=None, reduction_axes=None, keep_dims=None )
This Op takes a SparseTensor and is the sparse counterpart to tf.reduce_sum()
. In particular, this Op also returns a dense Tensor
instead of a sparse one.
Reduces sp_input
along the dimensions given in reduction_axes
. Unless keepdims
is true, the rank of the tensor is reduced by 1 for each entry in reduction_axes
. If keepdims
is true, the reduced dimensions are retained with length 1.
If reduction_axes
has no entries, all dimensions are reduced, and a tensor with a single element is returned. Additionally, the axes can be negative, similar to the indexing rules in Python.
# 'x' represents [[1, ?, 1] # [?, 1, ?]] # where ? is implicitly-zero. tf.sparse.reduce_sum(x) ==> 3 tf.sparse.reduce_sum(x, 0) ==> [1, 1, 1] tf.sparse.reduce_sum(x, 1) ==> [2, 1] # Can also use -1 as the axis. tf.sparse.reduce_sum(x, 1, keepdims=True) ==> [[2], [1]] tf.sparse.reduce_sum(x, [0, 1]) ==> 3
Args | |
---|---|
sp_input | The SparseTensor to reduce. Should have numeric type. |
axis | The dimensions to reduce; list or scalar. If None (the default), reduces all dimensions. |
keepdims | If true, retain reduced dimensions with length 1. |
reduction_axes | Deprecated name of axis . |
keep_dims | Deprecated alias for keepdims . |
Returns | |
---|---|
The reduced Tensor. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/sparse/reduce_sum