Google I/O is a wrap! Catch up on TensorFlow sessions

# tf.raw_ops.TopKV2

Finds values and indices of the `k` largest elements 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` 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).

A tuple of `Tensor` objects (values, indices).
`values` A `Tensor`. Has the same type as `input`.
`indices` A `Tensor` of type `int32`.

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