Computes the sum along sparse segments of a tensor divided by the sqrt(N).
tf.compat.v1.sparse_segment_sqrt_n(
data,
indices,
segment_ids,
name=None,
num_segments=None,
sparse_gradient=False
)
N
is the size of the segment being reduced.
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.
|
name
|
A name for the operation (optional).
|
num_segments
|
An optional int32 scalar. Indicates the size of the output
Tensor .
|
sparse_gradient
|
An optional bool . Defaults to False . If True , the
gradient of this function will be sparse (IndexedSlices) instead of dense
(Tensor).
|
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 .
|