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.

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 to input_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

SparseReduceMax (const :: tensorflow::Scope & scope, :: tensorflow::Input input_indices, :: tensorflow::Input input_values, :: tensorflow::Input input_shape, :: tensorflow::Input reduction_axes)
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)

Public attributes

operation
output

Public functions

node () const
::tensorflow::Node *
operator::tensorflow::Input () const
operator::tensorflow::Output () const

Public static functions

KeepDims (bool x)

Structs

tensorflow:: ops:: SparseReduceMax:: Attrs

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
)