TensorFlow 1 version | View source on GitHub |
Finds values and indices of the k
largest entries for the last dimension.
tf.math.top_k(
input, k=1, sorted=True, name=None
)
If the input is a vector (rank=1), finds the k
largest entries in the vector
and outputs their values and indices as vectors. Thus values[j]
is the
j
-th largest entry in input
, and its index is indices[j]
.
For matrices (resp. higher rank input), computes the top k
entries in each
row (resp. vector along the last dimension). Thus,
values.shape = indices.shape = input.shape[:-1] + [k]
If two elements are equal, the lower-index element appears first.
Args | |
---|---|
input
|
1-D or higher Tensor with last dimension at least k .
|
k
|
0-D int32 Tensor . Number of top elements to look for along the last
dimension (along each row for matrices).
|
sorted
|
If true the resulting k elements will be sorted by the values in
descending order.
|
name
|
Optional name for the operation. |
Returns | |
---|---|
values
|
The k largest elements along each last dimensional slice.
|
indices
|
The indices of values within the last dimension of input .
|