tf.raw_ops.TopKV2

Finds values and indices of the k largest elements for the last dimension.

tf.raw_ops.TopKV2(
    input,
    k,
    sorted=True,
    index_type=tf.dtypes.int32,
    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.

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. Must be one of the following types: int16, int32, int64. 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.
index_type An optional tf.DType from: tf.int16, tf.int32, tf.int64. Defaults to tf.int32.
name A name for the operation (optional).

A tuple of Tensor objects (values, indices).
values A Tensor. Has the same type as input.
indices A Tensor of type index_type.