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`.

Arguments:

• scope: A Scope object
• segment_ids: A 1-D tensor whose rank is equal to the rank 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

`output`
`::tensorflow::Output`

Public functions

`node() const `
`::tensorflow::Node *`
`operator::tensorflow::Input() const `
``` ```
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`operator::tensorflow::Output() const `
``` ```
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Public attributes

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 `