tf.sparse_segment_mean
tf.sparse_segment_mean
tf.sparse_segment_mean
sparse_segment_mean( data, indices, segment_ids, name=None )
Defined in tensorflow/python/ops/gen_math_ops.py
.
See the guide: Math > Segmentation
Computes the mean along sparse segments of a tensor.
Read the section on segmentation for an explanation of segments.
Like SegmentMean
, but segment_ids
can have rank less than data
's first dimension, selecting a subset of dimension 0, specified by indices
.
Args:
-
data
: ATensor
. Must be one of the following types:float32
,float64
. -
indices
: ATensor
. Must be one of the following types:int32
,int64
. A 1-D tensor. Has same rank assegment_ids
. -
segment_ids
: ATensor
of typeint32
. A 1-D tensor. 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/sparse_segment_mean