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
)
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.
|
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.
|
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