W3cubDocs

/TensorFlow C++

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.

Arguments:

  • 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
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
output_indices
output_shape
output_values
Public static functions
KeepDims(bool x)
Structs
tensorflow::ops::SparseReduceMaxSparse::Attrs

Optional attribute setters for SparseReduceMaxSparse.

Public attributes

output_indices

::tensorflow::Output output_indices

output_shape

::tensorflow::Output output_shape

output_values

::tensorflow::Output output_values

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
)

Public static functions

KeepDims

Attrs KeepDims(
  bool x
)

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/sparse-reduce-max-sparse.html