tensorflow:: ops:: UnsortedSegmentMin
#include <math_ops.h>
Computes the minimum 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 minimum such that:
\(output_i = {j...} data_[j...]\) where min is over tuples j...
such that segment_ids[j...] == i
.
If the minimum is empty for a given segment ID i
, it outputs the largest possible value for the specific numeric type, output[i] = numeric_limits
.
For example:
c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]]) tf.unsorted_segment_min(c, tf.constant([0, 1, 0]), num_segments=2) # ==> [[ 1, 2, 2, 1], # [5, 6, 7, 8]]
If the given segment ID i
is negative, then the corresponding value is dropped, and will not be included in the result.
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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UnsortedSegmentMin(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
UnsortedSegmentMin
UnsortedSegmentMin( 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