Have a question? Connect with the community at the TensorFlow Forum Visit Forum

UnsortedSegmentMax

public final class UnsortedSegmentMax

Computes the maximum 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 maximum such that:

\\(output_i = \max_{j...} data[j...]\\) where max is over tuples `j...` such that `segment_ids[j...] == i`.

If the maximum is empty for a given segment ID `i`, it outputs the smallest possible value for the specific numeric type, `output[i] = numeric_limits ::lowest()`.

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

For example:

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

Constants

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

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of the tensor.
static <T extends TNumber > UnsortedSegmentMax <T>
create ( Scope scope, Operand <T> data, Operand <? extends TNumber > segmentIds, Operand <? extends TNumber > numSegments)
Factory method to create a class wrapping a new UnsortedSegmentMax operation.
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`.

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "UnsortedSegmentMax"

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 UnsortedSegmentMax <T> create ( Scope scope, Operand <T> data, Operand <? extends TNumber > segmentIds, Operand <? extends TNumber > numSegments)

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

Parameters
scope current scope
segmentIds A tensor whose shape is a prefix of `data.shape`.
Returns
  • a new instance of UnsortedSegmentMax

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`.