Finds values and indices of the k largest elements for the last dimension.
tf.raw_ops.TopKV2(
input, k, 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
|
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 k.
|
k
|
A Tensor of type int32.
0-D. Number of top elements to look for along the last dimension (along each
row for matrices).
|
sorted
|
An optional bool. Defaults to True.
If true the resulting k elements will be sorted by the values in
descending order.
|
name
|
A name for the operation (optional). |
Returns | |
|---|---|
A tuple of Tensor objects (values, indices).
|
|
values
|
A Tensor. Has the same type as input.
|
indices
|
A Tensor of type int32.
|