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### `tf.pow(x, y, name=None)` {#pow}
Computes the power of one value to another.
Given a tensor `x` and a tensor `y`, this operation computes \\(x^y\\) for
corresponding elements in `x` and `y`. For example:
```
# tensor 'x' is [[2, 2], [3, 3]]
# tensor 'y' is [[8, 16], [2, 3]]
tf.pow(x, y) ==> [[256, 65536], [9, 27]]
```
##### Args:
* <b>`x`</b>: A `Tensor` of type `float`, `double`, `int32`, `complex64`, or `int64`.
* <b>`y`</b>: A `Tensor` of type `float`, `double`, `int32`, `complex64`, or `int64`.
* <b>`name`</b>: A name for the operation (optional).
##### Returns:
A `Tensor`.
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