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# 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 ::lowest()  .

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]]


Args:

• 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 first  segment_ids.rank  dimensions, which are replaced with a single dimension which has size  num_segments  .

### Constructors and Destructors

 UnsortedSegmentMax (const :: tensorflow::Scope & scope, :: tensorflow::Input data, :: tensorflow::Input segment_ids, :: tensorflow::Input num_segments) 

### Public attributes

 operation 
 Operation 
 output 
 :: tensorflow::Output 

### Public functions

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

## 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
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[{ "type": "thumb-up", "id": "easyToUnderstand", "label":"Easy to understand" },{ "type": "thumb-up", "id": "solvedMyProblem", "label":"Solved my problem" },{ "type": "thumb-up", "id": "otherUp", "label":"Other" }]