add zit_cumulative
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@@ -18,6 +18,8 @@ function (kfn::kfn_1)(input::AbstractArray)
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# what to do at the start of learning round
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# what to do at the start of learning round
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if view(kfn.learningStage, 1)[1] == 1
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if view(kfn.learningStage, 1)[1] == 1
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# reset learning params
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# reset learning params
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kfn.zit_cumulative .= 0
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kfn.lif_vt .= 0
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kfn.lif_vt .= 0
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kfn.lif_wRecChange .= 0
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kfn.lif_wRecChange .= 0
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kfn.lif_epsilonRec .= 0
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kfn.lif_epsilonRec .= 0
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@@ -109,6 +111,7 @@ function (kfn::kfn_1)(input::AbstractArray)
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reshape(kfn.lif_zt, (size(input, 1), :, 1, size(input, 3))),
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reshape(kfn.lif_zt, (size(input, 1), :, 1, size(input, 3))),
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reshape(kfn.alif_zt, (size(input, 1), :, 1, size(input, 3))), dims=2)
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reshape(kfn.alif_zt, (size(input, 1), :, 1, size(input, 3))), dims=2)
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kfn.zit .= reshape(_zit, (size(input, 1), :, size(input, 3)))
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kfn.zit .= reshape(_zit, (size(input, 1), :, size(input, 3)))
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kfn.zit_cumulative .+= kfn.zit
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# project 3D kfn zit into 4D on zit
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# project 3D kfn zit into 4D on zit
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i1, i2, i3, i4 = size(kfn.on_zit)
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i1, i2, i3, i4 = size(kfn.on_zit)
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@@ -23,6 +23,7 @@ Base.@kwdef mutable struct kfn_1 <: knowledgeFn
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learningStage::Union{AbstractArray, Nothing} = nothing # 0 inference, 1 start, 2 during, 3 end learning
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learningStage::Union{AbstractArray, Nothing} = nothing # 0 inference, 1 start, 2 during, 3 end learning
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inputSize::Union{AbstractArray, Nothing} = nothing
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inputSize::Union{AbstractArray, Nothing} = nothing
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zit::Union{AbstractArray, Nothing} = nothing # 3D activation matrix
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zit::Union{AbstractArray, Nothing} = nothing # 3D activation matrix
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zit_cumulative::Union{AbstractArray, Nothing} = nothing
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modelError::Union{AbstractArray, Nothing} = nothing # store RSNN error
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modelError::Union{AbstractArray, Nothing} = nothing # store RSNN error
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outputError::Union{AbstractArray, Nothing} = nothing # store output neurons error
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outputError::Union{AbstractArray, Nothing} = nothing # store output neurons error
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@@ -175,6 +176,7 @@ function kfn_1(params::Dict; device=cpu)
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# activation matrix
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# activation matrix
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kfn.zit = zeros(row, col, batch) |> device
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kfn.zit = zeros(row, col, batch) |> device
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kfn.zit_cumulative = (similar(kfn.zit) .= 0) |> device
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kfn.modelError = zeros(1) |> device
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kfn.modelError = zeros(1) |> device
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# ---------------------------------------------------------------------------- #
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# ---------------------------------------------------------------------------- #
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