readout forward()
This commit is contained in:
294
src/forward.jl
294
src/forward.jl
@@ -117,36 +117,45 @@ function (kfn::kfn_1)(input::AbstractArray)
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kfn.on_refractoryCounter,
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kfn.on_refractoryCounter,
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kfn.on_refractoryDuration,
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kfn.on_refractoryDuration,
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kfn.on_gammaPd,
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kfn.on_gammaPd,
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kfn.on_firingCounter)
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kfn.on_firingCounter,
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kfn.on_arrayProjection3DTo4D,
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kfn.on_recSignal,
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kfn.on_decayed_vt0,
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kfn.on_decayed_epsilonRec,
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kfn.on_vt1_diff_vth,
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kfn.on_vt1_diff_vth_div_vth,
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kfn.on_gammaPd_div_vth,
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kfn.on_phiActivation)
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return reshape(kfn.on_zt1, (size(input, 1), :)),
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return reshape(kfn.on_zt1, (size(input, 1), :)),
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kfn.zit
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kfn.zit
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end
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end
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function lifForward(kfn_zit,
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function lifForward(kfn_zit::Array{T},
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zit,
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zit::Array{T},
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wRec,
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wRec::Array{T},
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vt0,
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vt0::Array{T},
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vt1,
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vt1::Array{T},
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vth,
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vth::Array{T},
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vRest,
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vRest::Array{T},
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zt1,
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zt1::Array{T},
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alpha,
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alpha::Array{T},
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phi,
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phi::Array{T},
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epsilonRec,
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epsilonRec::Array{T},
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refractoryCounter,
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refractoryCounter::Array{T},
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refractoryDuration,
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refractoryDuration::Array{T},
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gammaPd,
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gammaPd::Array{T},
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firingCounter,
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firingCounter::Array{T},
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arrayProjection3DTo4D,
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arrayProjection3DTo4D::Array{T},
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recSignal,
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recSignal::Array{T},
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decayed_vt0,
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decayed_vt0::Array{T},
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decayed_epsilonRec,
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decayed_epsilonRec::Array{T},
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vt1_diff_vth,
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vt1_diff_vth::Array{T},
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vt1_diff_vth_div_vth,
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vt1_diff_vth_div_vth::Array{T},
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gammaPd_div_vth,
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gammaPd_div_vth::Array{T},
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phiActivation)
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phiActivation::Array{T},
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) where T<:Number
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# project 3D kfn zit into 4D lif zit
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# project 3D kfn zit into 4D lif zit
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zit .= reshape(kfn_zit,
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zit .= reshape(kfn_zit,
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@@ -190,40 +199,41 @@ function lifForward(kfn_zit,
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end
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end
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end
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end
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function alifForward(kfn_zit,
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function alifForward(kfn_zit::Array{T},
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zit,
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zit::Array{T},
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wRec,
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wRec::Array{T},
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vt0,
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vt0::Array{T},
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vt1,
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vt1::Array{T},
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vth,
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vth::Array{T},
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vRest,
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vRest::Array{T},
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zt1,
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zt1::Array{T},
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alpha,
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alpha::Array{T},
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phi,
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phi::Array{T},
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epsilonRec,
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epsilonRec::Array{T},
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refractoryCounter,
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refractoryCounter::Array{T},
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refractoryDuration,
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refractoryDuration::Array{T},
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gammaPd,
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gammaPd::Array{T},
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firingCounter,
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firingCounter::Array{T},
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arrayProjection3DTo4D,
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arrayProjection3DTo4D::Array{T},
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recSignal,
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recSignal::Array{T},
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decayed_vt0,
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decayed_vt0::Array{T},
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decayed_epsilonRec,
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decayed_epsilonRec::Array{T},
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vt1_diff_vth,
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vt1_diff_vth::Array{T},
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vt1_diff_vth_div_vth,
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vt1_diff_vth_div_vth::Array{T},
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gammaPd_div_vth,
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gammaPd_div_vth::Array{T},
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phiActivation,
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phiActivation::Array{T},
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epsilonRecA,
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epsilonRecA::Array{T},
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avth,
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avth::Array{T},
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a,
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a::Array{T},
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beta,
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beta::Array{T},
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rho,
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rho::Array{T},
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phi_x_epsilonRec,
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phi_x_epsilonRec::Array{T},
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phi_x_beta,
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phi_x_beta::Array{T},
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rho_diff_phi_x_beta,
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rho_diff_phi_x_beta::Array{T},
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rho_div_phi_x_beta_x_epsilonRecA,
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rho_div_phi_x_beta_x_epsilonRecA::Array{T},
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beta_x_a)
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beta_x_a::Array{T},
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) where T<:Number
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# project 3D kfn zit into 4D lif zit
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# project 3D kfn zit into 4D lif zit
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@@ -295,125 +305,69 @@ function alifForward(kfn_zit,
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end
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end
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end
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end
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# function alifForward(kfn_zit,
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function onForward(kfn_zit::Array{T},
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# zit,
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zit::Array{T},
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# wRec,
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wOut::Array{T},
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# vt0,
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vt0::Array{T},
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# vt1,
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vt1::Array{T},
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# vth,
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vth::Array{T},
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# avth,
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vRest::Array{T},
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# vRest,
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zt1::Array{T},
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# zt1,
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alpha::Array{T},
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# alpha,
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phi::Array{T},
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# phi,
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epsilonRec::Array{T},
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# epsilonRec,
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refractoryCounter::Array{T},
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# epsilonRecA,
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refractoryDuration::Array{T},
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# refractoryCounter,
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gammaPd::Array{T},
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# refractoryDuration,
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firingCounter::Array{T},
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# a,
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arrayProjection3DTo4D::Array{T},
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# beta,
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recSignal::Array{T},
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# rho,
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decayed_vt0::Array{T},
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# gammaPd,
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decayed_epsilonRec::Array{T},
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# firingCounter)
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vt1_diff_vth::Array{T},
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# d1, d2, d3, d4 = size(wRec)
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vt1_diff_vth_div_vth::Array{T},
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# zit .= reshape(kfn_zit, (d1, d2, 1, d4)) .* ones(size(wRec)...) # project zit into zit
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gammaPd_div_vth::Array{T},
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phiActivation::Array{T},
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) where T<:Number
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# for j in 1:d4, i in 1:d3 # compute along neurons axis of every batch
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# project 3D kfn zit into 4D lif zit
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# if view(refractoryCounter, :, :, i, j)[1] > 0 # refractory period is active
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zit .= reshape(kfn_zit,
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# view(refractoryCounter, :, :, i, j)[1] -= 1
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(size(wOut, 1), size(wOut, 2), 1, size(wOut, 4))) .* arrayProjection3DTo4D
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# view(zt1, :, :, i, j)[1] = 0
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# view(vt1, :, :, i, j)[1] = view(alpha, :, :, i, j)[1] *
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# view(vt0, :, :, i, j)[1]
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# view(phi, :, :, i, j)[1] = 0.0
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# view(epsilonRec, :, :, i, j) .= view(alpha, :, :, i, j)[1] .*
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# view(epsilonRec, :, :, i, j)
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# view(a, :, :, i, j)[1] =
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# (view(rho, :, :, i, j)[1] * view(a, :, :, i, j)[1]) + 0
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# else # refractory period is inactive
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# view(vt1, :, :, i, j)[1] =
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# (view(alpha, :, :, i, j)[1] * view(vt0,:, :, i, j)[1]) +
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# sum(view(zit, :, :, i, j) .* view(wRec, :, :, i, j))
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# view(avth, :, :, i, j)[1] = view(vth, :, :, i, j)[1] +
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# (view(beta, :, :, i, j)[1] * view(a, :, :, i, j)[1])
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# if view(vt1, :, :, i, j)[1] > view(avth, :, :, i, j)[1]
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# view(zt1, :, :, i, j)[1] = 1
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# view(refractoryCounter, :, :, i, j)[1] =
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# view(refractoryDuration, :, :, i, j)[1]
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# view(firingCounter, :, :, i, j)[1] += 1
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# view(vt1, :, :, i, j)[1] = view(vRest, :, :, i, j)[1]
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# view(a, :, :, i, j)[1] = (view(rho, :, :, i, j)[1] *
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# view(a, :, :, i, j)[1]) + 1
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# else
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# view(zt1, :, :, i, j)[1] = 0
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# view(a, :, :, i, j)[1] =
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# (view(rho, :, :, i, j)[1] * view(a, :, :, i, j)[1]) + 0
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# end
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# # there is a difference from alif formula
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for j in 1:size(wOut, 4), i in 1:size(wOut, 3) # compute along neurons axis of every batch
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# view(phi, :, :, i, j)[1] =
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if sum(@view(refractoryCounter[:,:,i,j])) > 0 # refractory period is active
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# (view(gammaPd, :, :, i, j)[1] / view(vth, :, :, i, j)[1]) *
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@. @views refractoryCounter[:,:,i,j] -= 1
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# max(0, 1 - ((view(vt1, :, :, i, j)[1] - view(avth, :, :, i, j)[1]) /
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@. @views zt1[:,:,i,j] = 0
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# view(vth, :, :, i, j)[1]))
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@. @views vt1[:,:,i,j] = alpha[:,:,i,j] * vt0[:,:,i,j]
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# view(epsilonRec, :, :, i, j) .=
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@. @views phi[:,:,i,j] = 0
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# (view(alpha, :, :, i, j) .* view(epsilonRec, :, :, i, j)) +
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# view(zit, :, :, i, j)
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# view(epsilonRecA, :, :, i, j) .=
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# (view(phi, :, :, i, j)[1] .* view(epsilonRec, :, :, i, j)) +
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# ((view(rho, :, :, i, j)[1] -
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# (view(phi, :, :, i, j)[1] * view(beta, :, :, i, j)[1])) .*
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# view(epsilonRecA, :, :, i, j))
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# end
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# end
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# end
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function onForward(kfn_zit,
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# compute epsilonRec
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zit,
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@. @views decayed_epsilonRec[:,:,i,j] = alpha[:,:,i,j] * epsilonRec[:,:,i,j]
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wOut,
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@. @views epsilonRec[:,:,i,j] = decayed_epsilonRec[:,:,i,j]
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vt0,
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else # refractory period is inactive
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vt1,
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@. @views recSignal[:,:,i,j] = zit[:,:,i,j] * wOut[:,:,i,j]
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vth,
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@. @views decayed_vt0[:,:,i,j] = alpha[:,:,i,j] * vt0[:,:,i,j]
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vRest,
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@view(vt1[:,:,i,j]) .= @view(decayed_vt0[:,:,i,j]) .+ sum(@view(recSignal[:,:,i,j]))
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zt1,
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alpha,
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phi,
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epsilonRec,
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refractoryCounter,
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refractoryDuration,
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gammaPd,
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firingCounter)
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d1, d2, d3, d4 = size(wOut)
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zit .= reshape(kfn_zit, (d1, d2, 1, d4)) .* ones(size(wOut)...) # project zit into zit
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for j in 1:d4, i in 1:d3 # compute along neurons axis of every batch
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if sum(@view(vt1[:,:,i,j])) > sum(@view(vth[:,:,i,j]))
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if view(refractoryCounter, :, :, i, j)[1] > 0 # neuron is inactive (in refractory period)
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@. @views zt1[:,:,i,j] = 1
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view(refractoryCounter, :, :, i, j)[1] -= 1
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@. @views refractoryCounter[:,:,i,j] = refractoryDuration[:,:,i,j]
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view(zt1, :, :, i, j)[1] = 0
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@. @views firingCounter[:,:,i,j] += 1
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view(vt1, :, :, i, j)[1] =
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@. @views vt1[:,:,i,j] = vRest[:,:,i,j]
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view(alpha, :, :, i, j)[1] * view(vt0, :, :, i, j)[1]
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view(phi, :, :, i, j)[1] = 0.0
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view(epsilonRec, :, :, i, j) .= view(alpha, :, :, i, j)[1] .*
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view(epsilonRec, :, :, i, j)
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else # neuron is active
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view(vt1, :, :, i, j)[1] =
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(view(alpha, :, :, i, j)[1] * view(vt0,:, :, i, j)[1]) +
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sum(view(zit, :, :, i, j) .* view(wOut, :, :, i, j))
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if view(vt1, :, :, i, j)[1] > view(vth, :, :, i, j)[1]
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view(zt1, :, :, i, j)[1] = 1
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view(refractoryCounter, :, :, i, j)[1] =
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view(refractoryDuration, :, :, i, j)[1]
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view(firingCounter, :, :, i, j)[1] += 1
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view(vt1, :, :, i, j)[1] = view(vRest, :, :, i, j)[1]
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else
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else
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view(zt1, :, :, i, j)[1] = 0
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@. @views zt1[:,:,i,j] = 0
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end
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end
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# there is a difference from alif formula
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view(phi, :, :, i, j)[1] =
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# compute phi, there is a difference from alif formula
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(view(gammaPd, :, :, i, j)[1] / view(vth, :, :, i, j)[1]) *
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@. @views gammaPd_div_vth[:,:,i,j] = gammaPd[:,:,i,j] / vth[:,:,i,j]
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max(0, 1 - ((view(vt1, :, :, i, j)[1] - view(vth, :, :, i, j)[1]) /
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@. @views vt1_diff_vth[:,:,i,j] = vt1[:,:,i,j] - vth[:,:,i,j]
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view(vth, :, :, i, j)[1]))
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@. @views vt1_diff_vth_div_vth[:,:,i,j] = vt1_diff_vth[:,:,i,j] / vth[:,:,i,j]
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view(epsilonRec, :, :, i, j) .=
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@view(phiActivation[:,:,i,j]) .= max(0, 1 - sum(@view(vt1_diff_vth_div_vth[:,:,i,j])))
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(view(alpha, :, :, i, j)[1] .* view(epsilonRec, :, :, i, j)) +
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@. @views phi[:,:,i,j] = gammaPd_div_vth[:,:,i,j] * phiActivation[:,:,i,j]
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view(zit, :, :, i, j)
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# compute epsilonRec
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@. @views decayed_epsilonRec[:,:,i,j] = alpha[:,:,i,j] * epsilonRec[:,:,i,j]
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@. @views epsilonRec[:,:,i,j] = decayed_epsilonRec[:,:,i,j] + zit[:,:,i,j]
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end
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end
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end
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end
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end
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end
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112
src/type.jl
112
src/type.jl
@@ -118,7 +118,8 @@ Base.@kwdef mutable struct kfn_1 <: knowledgeFn
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# output neuron is based on LIF
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# output neuron is based on LIF
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on_zit::Union{AbstractArray, Nothing} = nothing
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on_zit::Union{AbstractArray, Nothing} = nothing
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on_wOut::Union{AbstractArray, Nothing} = nothing # same as lif_wRec
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# main variables according to papers
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on_wOut::Union{AbstractArray, Nothing} = nothing # wOut is wRec, just use the name from paper
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on_vt0::Union{AbstractArray, Nothing} = nothing
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on_vt0::Union{AbstractArray, Nothing} = nothing
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on_vt1::Union{AbstractArray, Nothing} = nothing
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on_vt1::Union{AbstractArray, Nothing} = nothing
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on_vth::Union{AbstractArray, Nothing} = nothing
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on_vth::Union{AbstractArray, Nothing} = nothing
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@@ -135,14 +136,19 @@ Base.@kwdef mutable struct kfn_1 <: knowledgeFn
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on_eRec::Union{AbstractArray, Nothing} = nothing
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on_eRec::Union{AbstractArray, Nothing} = nothing
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on_eta::Union{AbstractArray, Nothing} = nothing
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on_eta::Union{AbstractArray, Nothing} = nothing
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on_gammaPd::Union{AbstractArray, Nothing} = nothing
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on_gammaPd::Union{AbstractArray, Nothing} = nothing
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on_wOutChange::Union{AbstractArray, Nothing} = nothing
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on_wOutChange::Union{AbstractArray, Nothing} = nothing
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on_b::Union{AbstractArray, Nothing} = nothing
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on_bChange::Union{AbstractArray, Nothing} = nothing
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on_firingCounter::Union{AbstractArray, Nothing} = nothing
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on_firingCounter::Union{AbstractArray, Nothing} = nothing
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on_arraySize::Union{AbstractArray, Nothing} = nothing
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# pre-allocation array
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on_arrayProjection3DTo4D::Union{AbstractArray, Nothing} = nothing # use to project 3d array to 4d
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on_arrayProjection3DTo4D::Union{AbstractArray, Nothing} = nothing # use to project 3d array to 4d
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on_recSignal::Union{AbstractArray, Nothing} = nothing
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on_decayed_vt0::Union{AbstractArray, Nothing} = nothing
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on_decayed_epsilonRec::Union{AbstractArray, Nothing} = nothing
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on_vt1_diff_vth::Union{AbstractArray, Nothing} = nothing
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on_vt1_diff_vth_div_vth::Union{AbstractArray, Nothing} = nothing
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on_gammaPd_div_vth::Union{AbstractArray, Nothing} = nothing
|
||||||
|
on_phiActivation::Union{AbstractArray, Nothing} = nothing
|
||||||
end
|
end
|
||||||
|
|
||||||
# outer constructor
|
# outer constructor
|
||||||
@@ -214,7 +220,6 @@ function kfn_1(params::Dict; device=cpu)
|
|||||||
kfn.lif_gammaPd_div_vth = similar(kfn.lif_vt0) .= 0 |> device
|
kfn.lif_gammaPd_div_vth = similar(kfn.lif_vt0) .= 0 |> device
|
||||||
kfn.lif_phiActivation = similar(kfn.lif_vt0) .= 0 |> device
|
kfn.lif_phiActivation = similar(kfn.lif_vt0) .= 0 |> device
|
||||||
|
|
||||||
|
|
||||||
# ---------------------------------------------------------------------------- #
|
# ---------------------------------------------------------------------------- #
|
||||||
# ALIF config #
|
# ALIF config #
|
||||||
# ---------------------------------------------------------------------------- #
|
# ---------------------------------------------------------------------------- #
|
||||||
@@ -279,34 +284,10 @@ function kfn_1(params::Dict; device=cpu)
|
|||||||
# output config #
|
# output config #
|
||||||
# ---------------------------------------------------------------------------- #
|
# ---------------------------------------------------------------------------- #
|
||||||
n = kfn.params[:outputPort][:numbers][1] * kfn.params[:outputPort][:numbers][2]
|
n = kfn.params[:outputPort][:numbers][1] * kfn.params[:outputPort][:numbers][2]
|
||||||
kfn.on_zit = zeros(row, col, n, batch) |> device
|
|
||||||
kfn.on_vt0 = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_vt1 = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_vth = ones(1, 1, n, batch) |> device
|
|
||||||
kfn.on_vRest = zeros(1, 1, n, batch) |> device
|
|
||||||
# kfn.on_zt0 = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_zt1 = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_refractoryCounter = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_refractoryDuration = ones(1, 1, n, batch) .* 0 |> device
|
|
||||||
kfn.on_delta = 1.0
|
|
||||||
kfn.on_tau_m = 20.0
|
|
||||||
kfn.on_alpha = ones(1, 1, n, batch) .* (exp(-kfn.on_delta / kfn.on_tau_m)) |> device
|
|
||||||
kfn.on_phi = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_epsilonRec = zeros(row, col, n, batch) |> device
|
|
||||||
# kfn.on_eRec = zeros(row, col, n, batch)
|
|
||||||
kfn.on_eta = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_gammaPd = zeros(1, 1, n, batch) .* 0.3 |> device
|
|
||||||
kfn.on_wOutChange = zeros(row, col, n, batch) |> device
|
|
||||||
# kfn.on_b = randn(1, 1, n, batch) |> device
|
|
||||||
# kfn.on_bChange = randn(1, 1, n, batch) |> device
|
|
||||||
|
|
||||||
kfn.on_firingCounter = zeros(1, 1, n, batch) |> device
|
|
||||||
kfn.on_arraySize = [row, col, n, batch] |> device
|
|
||||||
kfn.on_arrayProjection3DTo4D = ones(row, col, n, batch) |> device
|
|
||||||
|
|
||||||
# subscription
|
# subscription
|
||||||
w = zeros(row, col, n)
|
w = zeros(row, col, n)
|
||||||
synapticConnectionPercent = kfn.params[:outputPort][:params][:synapticConnectionPercent]
|
synapticConnectionPercent = kfn.params[:computeNeuron][:lif][:params][:synapticConnectionPercent]
|
||||||
synapticConnection = Int(floor(row*col * synapticConnectionPercent/100))
|
synapticConnection = Int(floor(row*col * synapticConnectionPercent/100))
|
||||||
for slice in eachslice(w, dims=3)
|
for slice in eachslice(w, dims=3)
|
||||||
pool = shuffle!([1:row*col...])[1:synapticConnection]
|
pool = shuffle!([1:row*col...])[1:synapticConnection]
|
||||||
@@ -314,8 +295,75 @@ function kfn_1(params::Dict; device=cpu)
|
|||||||
slice[i] = randn()/10 # assign weight to synaptic connection
|
slice[i] = randn()/10 # assign weight to synaptic connection
|
||||||
end
|
end
|
||||||
end
|
end
|
||||||
# project 3D w into 4D kfn.on_wOut
|
# project 3D w into 4D kfn.lif_wOut (row, col, n, batch)
|
||||||
kfn.on_wOut = reshape(w, (row, col, n, 1)) .* ones(row, col, n, batch) |> device
|
kfn.on_wOut = reshape(w, (row, col, n, 1)) .* ones(row, col, n, batch) |> device
|
||||||
|
kfn.on_zit = similar(kfn.on_wOut) .= 0 |> device
|
||||||
|
kfn.on_vt0 = zeros(1, 1, n, batch) |> device
|
||||||
|
kfn.on_vt1 = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_vth = similar(kfn.on_vt0) .= 1 |> device
|
||||||
|
kfn.on_vRest = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_zt0 = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_zt1 = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_refractoryCounter = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_refractoryDuration = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_delta = 1.0
|
||||||
|
kfn.on_tau_m = 20.0
|
||||||
|
kfn.on_alpha = similar(kfn.on_vt0) .= (exp(-kfn.on_delta / kfn.on_tau_m)) |> device
|
||||||
|
kfn.on_phi = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_epsilonRec = similar(kfn.on_wOut) .= 0 |> device
|
||||||
|
kfn.on_eRec = similar(kfn.on_wOut) .= 0 |> device
|
||||||
|
kfn.on_eta = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_gammaPd = similar(kfn.on_vt0) .= 0.3 |> device
|
||||||
|
kfn.on_wOutChange = similar(kfn.on_wOut) .= 0 |> device
|
||||||
|
|
||||||
|
kfn.on_firingCounter = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
|
||||||
|
kfn.on_arrayProjection3DTo4D = similar(kfn.on_wOut) .= 1 |> device
|
||||||
|
kfn.on_recSignal = similar(kfn.on_wOut) .= 0 |> device
|
||||||
|
kfn.on_decayed_vt0 = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_decayed_epsilonRec = similar(kfn.on_wOut) .= 0 |> device
|
||||||
|
kfn.on_vt1_diff_vth = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_vt1_diff_vth_div_vth = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_gammaPd_div_vth = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
kfn.on_phiActivation = similar(kfn.on_vt0) .= 0 |> device
|
||||||
|
|
||||||
|
# kfn.on_zit = zeros(row, col, n, batch) |> device
|
||||||
|
# kfn.on_vt0 = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_vt1 = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_vth = ones(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_vRest = zeros(1, 1, n, batch) |> device
|
||||||
|
# # kfn.on_zt0 = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_zt1 = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_refractoryCounter = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_refractoryDuration = ones(1, 1, n, batch) .* 0 |> device
|
||||||
|
# kfn.on_delta = 1.0
|
||||||
|
# kfn.on_tau_m = 20.0
|
||||||
|
# kfn.on_alpha = ones(1, 1, n, batch) .* (exp(-kfn.on_delta / kfn.on_tau_m)) |> device
|
||||||
|
# kfn.on_phi = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_epsilonRec = zeros(row, col, n, batch) |> device
|
||||||
|
# # kfn.on_eRec = zeros(row, col, n, batch)
|
||||||
|
# kfn.on_eta = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_gammaPd = zeros(1, 1, n, batch) .* 0.3 |> device
|
||||||
|
# kfn.on_wOutChange = zeros(row, col, n, batch) |> device
|
||||||
|
# # kfn.on_b = randn(1, 1, n, batch) |> device
|
||||||
|
# # kfn.on_bChange = randn(1, 1, n, batch) |> device
|
||||||
|
|
||||||
|
# kfn.on_firingCounter = zeros(1, 1, n, batch) |> device
|
||||||
|
# kfn.on_arraySize = [row, col, n, batch] |> device
|
||||||
|
# kfn.on_arrayProjection3DTo4D = ones(row, col, n, batch) |> device
|
||||||
|
|
||||||
|
# # subscription
|
||||||
|
# w = zeros(row, col, n)
|
||||||
|
# synapticConnectionPercent = kfn.params[:outputPort][:params][:synapticConnectionPercent]
|
||||||
|
# synapticConnection = Int(floor(row*col * synapticConnectionPercent/100))
|
||||||
|
# for slice in eachslice(w, dims=3)
|
||||||
|
# pool = shuffle!([1:row*col...])[1:synapticConnection]
|
||||||
|
# for i in pool
|
||||||
|
# slice[i] = randn()/10 # assign weight to synaptic connection
|
||||||
|
# end
|
||||||
|
# end
|
||||||
|
# # project 3D w into 4D kfn.on_wOut
|
||||||
|
# kfn.on_wOut = reshape(w, (row, col, n, 1)) .* ones(row, col, n, batch) |> device
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
Reference in New Issue
Block a user