Warning: This API is deprecated and will be removed in a future
version of TensorFlow after
the replacement is stable.
TopKUnique
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Returns the TopK unique values in the array in sorted order.
The running time is proportional to the product of K and the input
size. Sorting the whole array is more efficient for sufficiently large
values of K. The median-of-medians algorithm is probably faster, but
difficult to implement efficiently in XLA. If there are fewer than K
unique numbers (not NANs), the results are padded with negative
infinity. NaNs are never returned. Subnormal numbers are flushed to
zero. If an element appears at multiple indices, the highest index is
returned. If a TopK element never appears in the input due to padding
values, the indices are padded with negative one. If a padding value
appears in the input and padding is needed, the highest index of the
padding value will be returned. The semantics are not the same as
kth_order_statistic.
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
Public Methods
Factory method to create a class wrapping a new TopKUnique operation.
Returns
- a new instance of TopKUnique
public
Output<Integer>
topkIndices
()
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Last updated 2022-02-12 UTC.
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