# UnsortedSegmentMin

public final class UnsortedSegmentMin

Computes the minimum along segments of a tensor.

Read [the section on segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation) for an explanation of segments.

This operator is similar to the unsorted segment sum operator found [(here)](../../../api_docs/python/math_ops.md#UnsortedSegmentSum). Instead of computing the sum over segments, it computes the minimum such that:

\$$output_i = \min_{j...} data_[j...]\$$ where min is over tuples 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 ::max().

For example:

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

If the given segment ID i is negative, then the corresponding value is dropped, and will not be included in the result.

### Constants

 String OP_NAME The name of this op, as known by TensorFlow core engine

### Public Methods

 Output () Returns the symbolic handle of the tensor. static UnsortedSegmentMin ( Scope scope, Operand data, Operand segmentIds, Operand numSegments) Factory method to create a class wrapping a new UnsortedSegmentMin operation. Output () Has same shape as data, except for the first segment_ids.rank dimensions, which are replaced with a single dimension which has size num_segments.

## Constants

#### public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "UnsortedSegmentMin"

## Public Methods

#### public Output <T> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

#### public static UnsortedSegmentMin <T> create ( Scope scope, Operand <T> data, Operand <? extends TNumber > segmentIds, Operand <? extends TNumber > numSegments)

Factory method to create a class wrapping a new UnsortedSegmentMin operation.

##### Parameters
 scope current scope A tensor whose shape is a prefix of data.shape.
##### Returns
• a new instance of UnsortedSegmentMin

#### public Output <T> output ()

Has same shape as data, except for the first segment_ids.rank dimensions, which are replaced with a single dimension which has size num_segments.

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