Finds values of the n-th order statistic for the last dimension.
tf.raw_ops.NthElement(
input, n, reverse=False, name=None
)
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 |
|---|
input
|
A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
1-D or higher with last dimension at least n+1.
|
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.
|
