# tensorflow:: ops:: SegmentMin

 #include <math_ops.h> 

Computes the minimum along segments of a tensor.

## Summary

Read the section on segmentation for an explanation of segments.

Computes a tensor such that $$output_i = (data_j)$$ where  min  is over  j  such that  segment_ids[j] == i  .

If the min is empty for a given segment ID  i  ,  output[i] = 0  .

For example:

c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]])
tf.segment_min(c, tf.constant([0, 0, 1]))
# ==> [[1, 2, 2, 1],
#      [5, 6, 7, 8]]


Args:

• scope: A Scope object
• segment_ids: A 1-D tensor whose size is equal to the size of  data  's first dimension. Values should be sorted and can be repeated.

Returns:

•  Output  : Has same shape as data, except for dimension 0 which has size  k  , the number of segments.

### Constructors and Destructors

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

### 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

### SegmentMin

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

### node

::tensorflow::Node * node() const

### operator::tensorflow::Input

 operator::tensorflow::Input() const

### operator::tensorflow::Output

 operator::tensorflow::Output() const
[{ "type": "thumb-down", "id": "missingTheInformationINeed", "label":"Missing the information I need" },{ "type": "thumb-down", "id": "tooComplicatedTooManySteps", "label":"Too complicated / too many steps" },{ "type": "thumb-down", "id": "outOfDate", "label":"Out of date" },{ "type": "thumb-down", "id": "samplesCodeIssue", "label":"Samples / code issue" },{ "type": "thumb-down", "id": "otherDown", "label":"Other" }]
[{ "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" }]