tensorflow:: ops:: SparseReduceMax
#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 particular, this Op also returns a dense Tensor instead of a sparse one.
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.
Arguments:
- scope: A Scope object
- input_indices: 2-D.
N x Rmatrix with the indices of non-empty values in a SparseTensor, possibly not in canonical ordering. - input_values: 1-D.
Nnon-empty values corresponding toinput_indices. - input_shape: 1-D. Shape of the input SparseTensor.
- reduction_axes: 1-D. Length-
Kvector 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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SparseReduceMax(const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes)
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SparseReduceMax(const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes, const SparseReduceMax::Attrs & attrs)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public static functions |
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KeepDims(bool x)
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Structs |
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tensorflow:: |
Optional attribute setters for SparseReduceMax. |
Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
SparseReduceMax
SparseReduceMax( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes )
SparseReduceMax
SparseReduceMax( const ::tensorflow::Scope & scope, ::tensorflow::Input input_indices, ::tensorflow::Input input_values, ::tensorflow::Input input_shape, ::tensorflow::Input reduction_axes, const SparseReduceMax::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
KeepDims
Attrs KeepDims( bool x )