org.tensorflow.op.core

Class UnsortedSegmentMin<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.UnsortedSegmentMin<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class UnsortedSegmentMin<T extends Number>
extends PrimitiveOp
implements Operand<T>

Computes the minimum along segments of a tensor.

Read [the section on segmentation](https://tensorflow.org/api_guides/python/math_ops#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()`.

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number,U extends Number,V extends Number> UnsortedSegmentMin<T>	create(Scope scope, Operand<T> data, Operand<U> segmentIds, Operand<V> numSegments) Factory method to create a class to wrap a new UnsortedSegmentMin operation to the graph.
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`.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T extends Number,U extends Number,V extends Number> UnsortedSegmentMin<T> create(Scope scope,
                                                                                                Operand<T> data,
                                                                                                Operand<U> segmentIds,
                                                                                                Operand<V> numSegments)

Factory method to create a class to wrap a new UnsortedSegmentMin operation to the graph.

Parameters:

scope - current graph scope

data -

segmentIds - A tensor whose shape is a prefix of `data.shape`.

numSegments -

Returns:

a new instance of UnsortedSegmentMin

output

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`.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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.

Specified by:

asOutput in interface Operand<T extends Number>

See Also:

OperationBuilder.addInput(Output)