#include <math_ops.h>
Computes the mean along segments of a tensor.
Read the section on segmentation for an explanation of segments.
Computes a tensor such that \(output_i = { data_j}{N}\) where mean
is over j
such that segment_ids[j] == i
and N
is the total number of values summed.
If the mean is empty for a given segment ID i
, output[i] = 0
.
For example:
c = tf.constant([[1.0,2,3,4], [4, 3, 2, 1], [5,6,7,8]]) tf.segment_mean(c, tf.constant([0, 0, 1])) # ==> [[2.5, 2.5, 2.5, 2.5], # [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 | |
---|---|
SegmentMean(const ::tensorflow::Scope & scope, ::tensorflow::Input data, ::tensorflow::Input segment_ids) |
Public attributes | |
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operation | |
output |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Operation operation
::tensorflow::Output output
SegmentMean( 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-mean