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### `tf.contrib.layers.unit_norm(*args, **kwargs)` {#unit_norm}
Normalizes the given input across the specified dimension to unit length.
Note that the rank of `input` must be known.
##### Args:
* <b>`inputs`</b>: A `Tensor` of arbitrary size.
* <b>`dim`</b>: The dimension along which the input is normalized.
* <b>`epsilon`</b>: A small value to add to the inputs to avoid dividing by zero.
* <b>`scope`</b>: Optional scope for variable_scope.
##### Returns:
The normalized `Tensor`.
##### Raises:
* <b>`ValueError`</b>: If dim is smaller than the number of dimensions in 'inputs'.
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