# tf.math.top_k

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

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` 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.

`values` The `k` largest elements along each last dimensional slice.
`indices` The indices of `values` within the last dimension of `input`.