tensorflow::
ops::
SparseReduceMaxSparse
#include <sparse_ops.h>
Computes the max of elements across dimensions of a SparseTensor.
Summary
This Op takes a SparseTensor and is the sparse counterpart to
tf.reduce_max()
. In contrast to
SparseReduceMax
, this Op returns a SparseTensor.
Reduces
sp_input
along the dimensions given in
reduction_axes
. Unless
keep_dims
is true, the rank of the tensor is reduced by 1 for each entry in
reduction_axes
. If
keep_dims
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.
Args:
- scope: A Scope object
-
input_indices: 2-D.
N x R
matrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering. -
input_values: 1-D.
N
non-empty values corresponding toinput_indices
. - input_shape: 1-D. Shape of the input SparseTensor.
-
reduction_axes: 1-D. Length-
K
vector containing the reduction axes.
Optional attributes (see
Attrs
):
- keep_dims: If true, retain reduced dimensions with length 1.
Returns:
Constructors and Destructors |
|
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SparseReduceMaxSparse
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
input_indices, ::
tensorflow::Input
input_values, ::
tensorflow::Input
input_shape, ::
tensorflow::Input
reduction_axes)
|
|
SparseReduceMaxSparse
(const ::
tensorflow::Scope
& scope, ::
tensorflow::Input
input_indices, ::
tensorflow::Input
input_values, ::
tensorflow::Input
input_shape, ::
tensorflow::Input
reduction_axes, const
SparseReduceMaxSparse::Attrs
& attrs)
|
Public attributes |
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operation
|
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output_indices
|
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output_shape
|
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output_values
|
Public static functions |
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KeepDims
(bool x)
|
Structs |
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tensorflow::
|
Optional attribute setters for SparseReduceMaxSparse . |
Public attributes
Public functions
SparseReduceMaxSparse
SparseReduceMaxSparse( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes )
SparseReduceMaxSparse
SparseReduceMaxSparse( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes, const SparseReduceMaxSparse::Attrs & attrs )