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tf.contrib.layers.unit_norm

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

Note that the rank of input must be known.

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.

The normalized Tensor.

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