# tensorflow::ops::SegmentMin Class Reference

# tensorflow::
ops::
SegmentMin

`
#include <math_ops.h>
`


Computes the minimum along segments of a tensor.

## Summary


Read
[the section on segmentation](https://tensorflow.org/api_docs/python/tf/math#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
`
.


![](https://www.tensorflow.org/static/versions/r2.5/api_docs/cc/images/SegmentMin.png)

<br />


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]]
```

<br />


Args:

- scope: A [Scope](https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_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.

<br />


Returns:

- `
  https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output
  ` : Has same shape as data, except for dimension 0 which has size `
  k
  ` , the number of segments.

<br />

| ### Constructors and Destructors ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-min#classtensorflow_1_1ops_1_1_segment_min_1a3012dce1d5e46fd538083a4543420a89 (const :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope & scope, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input data, :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input segment_ids) ` ||

| ### Public attributes ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-min#classtensorflow_1_1ops_1_1_segment_min_1a1dd3ab9be4244f9e51ee31f1249735ff ` | ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-min#classtensorflow_1_1ops_1_1_segment_min_1aa79a959666dedb9e81ae623ed8ba28a8 ` | ` :: https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output ` |

| ### Public functions ||
|---|---|
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-min#classtensorflow_1_1ops_1_1_segment_min_1a0315622df52ece6431d28d99520c1eef () const ` | ` ::tensorflow::Node * ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-min#classtensorflow_1_1ops_1_1_segment_min_1aa2819b4005543663b84fe92fcbbec66a () const ` | ` ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-min#classtensorflow_1_1ops_1_1_segment_min_1a479837a013d764ff8d54553f71f32b83 () 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 
```