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Computes the mean along sparse segments of a tensor.
tf.compat.v2.sparse.segment_mean(
data, indices, segment_ids, num_segments=None, name=None
)
Read the section on segmentation for an explanation of segments.
Like tf.math.segment_mean
, but segment_ids
can have rank less than
data
's first dimension, selecting a subset of dimension 0, specified by
indices
.
segment_ids
is allowed to have missing ids, in which case the output will
be zeros at those indices. In those cases num_segments
is used to determine
the size of the output.
Args | |
---|---|
data
|
A Tensor with data that will be assembled in the output.
|
indices
|
A 1-D Tensor with indices into data . Has same rank as
segment_ids .
|
segment_ids
|
A 1-D Tensor with indices into the output Tensor . Values
should be sorted and can be repeated.
|
num_segments
|
An optional int32 scalar. Indicates the size of the output
Tensor .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A tensor of the shape as data, except for dimension 0 which
has size k , the number of segments specified via num_segments or
inferred for the last element in segments_ids .
|