# tensorflow::ops::SegmentMean Class Reference

# tensorflow::
ops::
SegmentMean

`
#include <math_ops.h>
`


Computes the mean 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}{N}\\) where
`
mean
`
is over
`
j
`
such that
`
segment_ids[j] == i
`
and
`
N
`
is the total number of values summed.


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


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

<br />


For example:


```
c = tf.constant([[1.0,2,3,4], [4, 3, 2, 1], [5,6,7,8]])
tf.segment_mean(c, tf.constant([0, 0, 1]))
# ==> [[2.5, 2.5, 2.5, 2.5],
#      [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-mean#classtensorflow_1_1ops_1_1_segment_mean_1a9fc798114162e49ca1a2e3be55c67c4e (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-mean#classtensorflow_1_1ops_1_1_segment_mean_1ab33c7bc6ed3ae2192796a60aa4e2603d ` | ` 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-mean#classtensorflow_1_1ops_1_1_segment_mean_1a64036d8ee48b0555a734f063c8b5e21e ` | ` :: 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-mean#classtensorflow_1_1ops_1_1_segment_mean_1a9a1dd3986731336496132e50f5882bfd () const ` | ` ::tensorflow::Node * ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-mean#classtensorflow_1_1ops_1_1_segment_mean_1a4555ae396508ae3dd5a91c67b3f7d8f4 () const ` | ` ` |
| ` https://www.tensorflow.org/versions/r2.5/api_docs/cc/class/tensorflow/ops/segment-mean#classtensorflow_1_1ops_1_1_segment_mean_1a5a63b16dc3408efa63a3d07570c08783 () const ` | ` ` |

## Public attributes

### operation

```
Operation operation
```

### output

```
::tensorflow::Output output
```

## Public functions

### SegmentMean

```
 SegmentMean(
  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 
```