TensorFlow 1 version
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View source on GitHub
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Computes the sum along sparse segments of a tensor divided by the sqrt(N).
tf.sparse.segment_sqrt_n(
data, indices, segment_ids, num_segments=None, name=None
)
Read the section on segmentation for an explanation of segments.
Like tf.sparse.segment_mean, but instead of dividing by the size of the
segment, N, divide by sqrt(N) instead.
Args | |
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data
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A Tensor with data that will be assembled in the output.
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indices
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A 1-D Tensor with indices into data. Has same rank as
segment_ids.
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segment_ids
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A 1-D Tensor with indices into the output Tensor. Values
should be sorted and can be repeated.
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num_segments
|
An optional int32 scalar. Indicates the size of the output
Tensor.
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name
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A name for the operation (optional). |
Returns | |
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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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