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Finds values of the n-th smallest value for the last dimension.
tf.contrib.nn.nth_element(
input, n, reverse=False, name=None
)
Note that n is zero-indexed.
If the input is a vector (rank-1), finds the entries which is the nth-smallest value in the vector and outputs their values as scalar tensor.
For matrices (resp. higher rank input), computes the entries which is the nth-smallest value in each row (resp. vector along the last dimension). Thus,
values.shape = input.shape[:-1]
Args | |
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input
|
1-D or higher Tensor with last dimension at least n+1.
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n
|
A Tensor of type int32.
0-D. Position of sorted vector to select along the last dimension (along
each row for matrices). Valid range of n is [0, input.shape[:-1])
|
reverse
|
An optional bool. Defaults to False.
When set to True, find the nth-largest value in the vector and vice
versa.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A Tensor. Has the same type as input.
The n-th order statistic along each last dimensional slice.
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