parent
07b0f95d61
commit
35299d4621
@ -101,12 +101,12 @@ m = Chain(
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Dense(288, 10), softmax) |> gpu
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```
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"""
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mutable struct BatchNorm{F,V,N}
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mutable struct BatchNorm{F,V, W,N}
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λ::F # activation function
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β::V # bias
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γ::V # scale
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μ # moving mean
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σ # moving std
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μ::W # moving mean
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σ::W # moving std
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ϵ::N
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momentum::N
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active::Bool
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@ -114,7 +114,7 @@ end
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BatchNorm(dims::Integer...; λ = identity,
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initβ = zeros, initγ = ones, ϵ = 1e-8, momentum = .1) =
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BatchNorm(λ, param(initβ(dims)), param(initγ(dims)), 0., 1., ϵ, momentum, true)
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BatchNorm(λ, param(initβ(dims)), param(initγ(dims)), zeros(dims), zeros(dims), ϵ, momentum, true)
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function (BN::BatchNorm)(x)
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λ, γ, β = BN.λ, BN.γ, BN.β
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@ -125,8 +125,8 @@ function (BN::BatchNorm)(x)
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m = prod(size(x)[1:end-2]) * size(x)[end]
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if !BN.active
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μ = BN.μ
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σ = BN.σ
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μ = reshape(BN.μ, affine_shape...)
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σ = reshape(BN.σ, affine_shape...)
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else
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T = eltype(x)
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@ -137,18 +137,18 @@ function (BN::BatchNorm)(x)
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# update moving mean/std
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mtm = data(convert(T, BN.momentum))
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BN.μ = (1 - mtm) .* BN.μ .+ mtm .* data(μ)
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BN.σ = (1 - mtm) .* BN.σ .+ mtm .* data(σ) .* m ./ (m - 1)
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BN.μ = (1 - mtm) .* BN.μ .+ mtm .* squeeze(data(μ), (axes...))
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BN.σ = (1 - mtm) .* BN.σ .+ mtm .* squeeze(data(σ), (axes...)) .* m ./ (m - 1)
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end
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λ.(reshape(γ, affine_shape...) .* ((x .- μ) ./ σ) .+ reshape(β, affine_shape...))
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end
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children(BN::BatchNorm) =
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(BN.λ, BN.β, BN.γ, BN.μ, BN.σ, BN.momentum, BN.ϵ, BN.active)
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(BN.λ, BN.β, BN.γ, BN.μ, BN.σ, BN.ϵ, BN.momentum, BN.active)
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mapchildren(f, BN::BatchNorm) = # e.g. mapchildren(cu, BN)
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BatchNorm(BN.λ, f(BN.β), f(BN.γ), BN.μ, BN.σ, BN.momentum, BN.ϵ, BN.active)
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BatchNorm(BN.λ, f(BN.β), f(BN.γ), f(BN.μ), f(BN.σ), BN.ϵ, BN.momentum, BN.active)
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_testmode!(BN::BatchNorm, test) = (BN.active = !test)
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