From a7143553df6375b97a5ee4d3fd6ff0bc56c1ffb9 Mon Sep 17 00:00:00 2001
From: Elliot Saba <staticfloat@gmail.com>
Date: Sun, 20 Jan 2019 23:57:19 +0000
Subject: [PATCH] =?UTF-8?q?Change=20name=20to=20=CF=83=C2=B2=20for=20bette?=
 =?UTF-8?q?r=20consistency?=
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---
 src/layers/normalise.jl | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/src/layers/normalise.jl b/src/layers/normalise.jl
index c25fe798..9cc6876a 100644
--- a/src/layers/normalise.jl
+++ b/src/layers/normalise.jl
@@ -72,7 +72,7 @@ function Base.show(io::IO, l::LayerNorm)
 end
 
 """
-    BatchNorm(channels::Integer, σ = identity;
+    BatchNorm(channels::Integer, σ² = identity;
               initβ = zeros, initγ = ones,
               ϵ = 1e-8, momentum = .1)
 
@@ -102,11 +102,11 @@ m = Chain(
 ```
 """
 mutable struct BatchNorm{F,V,W,N}
-  λ::F  # activation function
-  β::V  # bias
-  γ::V  # scale
-  μ::W  # moving mean
-  σ::W  # moving std
+  λ::F   # activation function
+  β::V   # bias
+  γ::V   # scale
+  μ::W   # moving mean
+  σ²::W  # moving std
   ϵ::N
   momentum::N
   active::Bool
@@ -132,31 +132,31 @@ function (BN::BatchNorm)(x)
 
   if !BN.active
     μ = reshape(BN.μ, affine_shape...)
-    σ = reshape(BN.σ, affine_shape...)
+    σ² = reshape(BN.σ², affine_shape...)
   else
     T = eltype(data(x))
 
     axes = [1:dims-2; dims] # axes to reduce along (all but channels axis)
     μ = mean(x, dims = axes)
     meansub = (x .- μ)
-    σ = mean(meansub .* meansub, dims = axes)
+    σ² = mean(meansub .* meansub, dims = axes)
 
     # update moving mean/std
     mtm = convert(T, data(BN.momentum))
     BN.μ = (1 - mtm) .* BN.μ .+ mtm .* data(reshape(μ, :))
-    BN.σ = ((1 - mtm) .* BN.σ .+ mtm .* data(reshape(σ, :)) .* m ./ (m - 1))
+    BN.σ² = ((1 - mtm) .* BN.σ² .+ mtm .* data(reshape(σ², :)) .* m ./ (m - 1))
   end
 
   let λ = BN.λ, ϵ = eltype(data(σ²))(BN.ϵ)
-    λ.(reshape(γ, affine_shape...) .* ((x .- μ) ./ sqrt.(σ .+ ϵ)) .+ reshape(β, affine_shape...))
+    λ.(reshape(γ, affine_shape...) .* ((x .- μ) ./ sqrt.(σ² .+ ϵ)) .+ reshape(β, affine_shape...))
   end
 end
 
 children(BN::BatchNorm) =
-  (BN.λ, BN.β, BN.γ, BN.μ, BN.σ, BN.ϵ, BN.momentum, BN.active)
+  (BN.λ, BN.β, BN.γ, BN.μ, BN.σ², BN.ϵ, BN.momentum, BN.active)
 
 mapchildren(f, BN::BatchNorm) =  # e.g. mapchildren(cu, BN)
-  BatchNorm(BN.λ, f(BN.β), f(BN.γ), f(BN.μ), f(BN.σ), BN.ϵ, BN.momentum, BN.active)
+  BatchNorm(BN.λ, f(BN.β), f(BN.γ), f(BN.μ), f(BN.σ²), BN.ϵ, BN.momentum, BN.active)
 
 _testmode!(BN::BatchNorm, test) = (BN.active = !test)