Computes the mean along sparse segments of a tensor.
tf.raw_ops.SparseSegmentMeanWithNumSegments(
data, indices, segment_ids, num_segments, name=None
)
Like SparseSegmentMean
, but allows missing ids in segment_ids
. If an id is
missing, the output
tensor at that position will be zeroed.
Read
the section on segmentation
for an explanation of segments.
Args |
data
|
A Tensor . Must be one of the following types: bfloat16 , half , float32 , float64 .
|
indices
|
A Tensor . Must be one of the following types: int32 , int64 .
A 1-D tensor. Has same rank as segment_ids .
|
segment_ids
|
A Tensor . Must be one of the following types: int32 , int64 .
A 1-D tensor. Values should be sorted and can be repeated.
|
num_segments
|
A Tensor . Must be one of the following types: int32 , int64 .
Should equal the number of distinct segment IDs.
|
name
|
A name for the operation (optional).
|
Returns |
A Tensor . Has the same type as data .
|