#include <math_ops.h>
Computes the minimum along segments of a tensor.
Read the section on segmentation for an explanation of segments.
Computes a tensor such that \(output_i = (data_j)\) 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
.
For example:
c = tf.constant([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]]) tf.segment_min(c, tf.constant([0, 0, 1])) # ==> [[1, 2, 2, 1], # [5, 6, 7, 8]]
Arguments:
data
's first dimension. Values should be sorted and can be repeated.Returns:
Output
: Has same shape as data, except for dimension 0 which has size k
, the number of segments. Constructors and Destructors | |
---|---|
SegmentMin(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids) |
Public attributes | |
---|---|
operation | |
output |
Public functions | |
---|---|
node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Operation operation
::tensorflow::Output output
SegmentMin( const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids )
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output() const
© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/cc/class/tensorflow/ops/segment-min