org.tensorflow.op.core

Class SegmentMin<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class SegmentMin<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.

Computes a tensor such that \\(output_i = \min_j(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`.

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> SegmentMin<T>	create(Scope scope, Operand<T> data, Operand<U> segmentIds) Factory method to create a class to wrap a new SegmentMin operation to the graph.
Output<T>	output() Has same shape as data, except for dimension 0 which has size `k`, the number of 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> SegmentMin<T> create(Scope scope,
                                                                       Operand<T> data,
                                                                       Operand<U> segmentIds)

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

Parameters:

scope - current graph scope

data -

segmentIds - A 1-D tensor whose size is equal to the size of `data`'s first dimension. Values should be sorted and can be repeated.

Returns:

a new instance of SegmentMin

output

public Output<T> output()

Has same shape as data, except for dimension 0 which has size `k`, the number of 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)