tf.contrib.layers.unit_norm

Normalizes the given input across the specified dimension to unit length.

tf.contrib.layers.unit_norm(
    inputs, dim, epsilon=1e-07, scope=None
)

Note that the rank of input must be known.

Args
`inputs`	A `Tensor` of arbitrary size.
`dim`	The dimension along which the input is normalized.
`epsilon`	A small value to add to the inputs to avoid dividing by zero.
`scope`	Optional scope for variable_scope.

Returns
The normalized `Tensor`.

Raises
`ValueError`	If dim is smaller than the number of dimensions in 'inputs'.

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Last updated 2020-10-01 UTC.

Args