Applies Layer Normalization for last certain number of dimensions.

## Arguments

- input
the input tensor

- normalized_shape
input shape from an expected input of size. If a single integer is used, it is treated as a singleton list, and this module will normalize over the last dimension which is expected to be of that specific size.

- weight
the weight tensor

- bias
the bias tensor

- eps
a value added to the denominator for numerical stability. Default: 1e-5