tf.segment_max
tf.segment_max
tf.segment_max
segment_max( data, segment_ids, name=None )
Defined in tensorflow/python/ops/gen_math_ops.py
.
See the guide: Math > Segmentation
Computes the maximum along segments of a tensor.
Read the section on segmentation for an explanation of segments.
Computes a tensor such that \(output_i = \max_j(data_j)\) where max
is over j
such that segment_ids[j] == i
.
If the max is empty for a given segment ID i
, output[i] = 0
.
Args:
-
data
: ATensor
. Must be one of the following types:float32
,float64
,int32
,int64
,uint8
,int16
,int8
,uint16
,half
. -
segment_ids
: ATensor
. Must be one of the following types:int32
,int64
. A 1-D tensor whose rank is equal to the rank ofdata
's first dimension. Values should be sorted and can be repeated. -
name
: A name for the operation (optional).
Returns:
A Tensor
. Has the same type as data
. Has same shape as data, except for dimension 0 which has size k
, the number of segments.
© 2017 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/api_docs/python/tf/segment_max