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Layer_norm

Source: R/nnf-normalization.R
nnf_layer_norm.Rd

Applies Layer Normalization for last certain number of dimensions.

Usage

nnf_layer_norm(
  input,
  normalized_shape,
  weight = NULL,
  bias = NULL,
  eps = 1e-05
)

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