tensorflow:: ops:: UnsortedSegmentMax
#include <math_ops.h>
Computes the maximum along segments of a tensor.
Summary
Read the section on segmentation for an explanation of segments.
This operator is similar to the unsorted segment sum operator found (here). Instead of computing the sum over segments, it computes the maximum such that:
\(output_i = {j...} data[j...]\) where max is over tuples j...
such that segment_ids[j...] == i
.
If the maximum is empty for a given segment ID i
, it outputs the smallest possible value for the specific numeric type, output[i] = numeric_limits
.
If the given segment ID i
is negative, then the corresponding value is dropped, and will not be included in the result.
For example:
c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]]) tf.unsorted_segment_max(c, tf.constant([0, 1, 0]), num_segments=2) # ==> [[ 4, 3, 3, 4], # [5, 6, 7, 8]]
Arguments:
- scope: A Scope object
- segment_ids: A tensor whose shape is a prefix of
data.shape
.
Returns:
Output
: Has same shape as data, except for the firstsegment_ids.rank
dimensions, which are replaced with a single dimension which has sizenum_segments
.
Constructors and Destructors |
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UnsortedSegmentMax(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments)
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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 attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
UnsortedSegmentMax
UnsortedSegmentMax( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids, ::tensorflow::Input num_segments )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const