tensorflow:: ops:: UnsortedSegmentMax

Computes the maximum along segments of a tensor.

Summary

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 maximum such that:

\(output_i = {j...} data[j...]\) 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]]

Args:

• scope: A Scope object
• segment_ids: A tensor whose shape is a prefix of data.shape .

Returns:

• 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 .

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 UnsortedSegmentMax(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input data,
  ::tensorflow::Input segment_ids,
  ::tensorflow::Input num_segments
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const