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/TensorFlow Python

# tf.unsorted_segment_min

```tf.unsorted_segment_min(
data,
segment_ids,
num_segments,
name=None
)
```

Defined in `tensorflow/python/ops/gen_math_ops.py`.

Computes the minimum along segments of a tensor.

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 minimum such that:

\(output_i = \min_j data_j\) where min is over `j` such that `segment_ids[j] == i`.

If the minimum is empty for a given segment ID `i`, it outputs the largest possible value for the specific numeric type, `output[i] = numeric_limits<T>::max()`.

#### Args:

• `data`: A `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `int64`, `bfloat16`, `uint16`, `half`, `uint32`, `uint64`.
• `segment_ids`: A `Tensor`. Must be one of the following types: `int32`, `int64`. A 1-D tensor whose rank is equal to the rank of `data`'s first dimension.
• `num_segments`: A `Tensor`. Must be one of the following types: `int32`, `int64`.
• `name`: A name for the operation (optional).

#### Returns:

A `Tensor`. Has the same type as `data`.

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/unsorted_segment_min