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Computes the max of elements across dimensions of a SparseTensor. (deprecated arguments)
tf.compat.v1.sparse_reduce_max_sparse(
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_max()
. In contrast to SparseReduceSum, this Op returns a
SparseTensor.
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,
which are interpreted according to the indexing rules in Python.
Returns | |
---|---|
The reduced SparseTensor. |