kfn forward()
This commit is contained in:
322
src/forward.jl
322
src/forward.jl
@@ -7,7 +7,9 @@ using ..type, ..snnUtil
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#------------------------------------------------------------------------------------------------100
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# kfn forward
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""" kfn forward
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input (row, col, batch)
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"""
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function (kfn::kfn_1)(input::AbstractArray)
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kfn.timeStep .+= 1
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@@ -17,8 +19,9 @@ function (kfn::kfn_1)(input::AbstractArray)
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end
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println(">>> input ", size(input))
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d1, d2, d3 = size(input)
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println(">>> zit ", size(kfn.zit))
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# println(">>> lif_zit ", size(kfn.lif_zit))
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println(">>> lif_zit ", size(kfn.lif_zit))
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# println(">>> lif_recSignal ", size(kfn.lif_recSignal))
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println(">>> lif_wRec ", size(kfn.lif_wRec))
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println(">>> lif_refractoryCounter ", size(kfn.lif_refractoryCounter))
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@@ -27,10 +30,8 @@ function (kfn::kfn_1)(input::AbstractArray)
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println(">>> lif_vt0 sum ", sum(kfn.lif_vt0))
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# pass input_data into input neuron.
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s1, s2, s3 = size(input)
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GeneralUtils.cartesianAssign!(kfn.zit, reshape(input, (s1, s2, 1, s3)))
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GeneralUtils.cartesianAssign!(kfn.zit, input)
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#WORKING LIF forward active neurons
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lifForward( kfn.zit,
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kfn.lif_zit,
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kfn.lif_wRec,
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@@ -47,156 +48,221 @@ function (kfn::kfn_1)(input::AbstractArray)
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kfn.lif_gammaPd)
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alifForward( kfn.zit,
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kfn.alif_zit,
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kfn.alif_wRec,
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kfn.alif_vt0,
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kfn.alif_vt1,
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kfn.alif_vth,
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kfn.alif_avth,
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kfn.alif_vRest,
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kfn.alif_zt1,
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kfn.alif_alpha,
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kfn.alif_phi,
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kfn.alif_epsilonRec,
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kfn.alif_epsilonRecA,
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kfn.alif_refractoryCounter,
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kfn.alif_refractoryDuration,
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kfn.alif_a,
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kfn.alif_beta,
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kfn.alif_rho,
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kfn.alif_gammaPd)
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kfn.alif_zit,
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kfn.alif_wRec,
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kfn.alif_vt0,
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kfn.alif_vt1,
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kfn.alif_vth,
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kfn.alif_avth,
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kfn.alif_vRest,
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kfn.alif_zt1,
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kfn.alif_alpha,
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kfn.alif_phi,
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kfn.alif_epsilonRec,
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kfn.alif_epsilonRecA,
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kfn.alif_refractoryCounter,
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kfn.alif_refractoryDuration,
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kfn.alif_a,
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kfn.alif_beta,
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kfn.alif_rho,
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kfn.alif_gammaPd)
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# update activation matrix by concatenate (input, lif_zt1, alif_zt1) to form activation matrix
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_zit = cat(reshape(input, (d1, d2, 1, d3)),
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reshape(kfn.lif_zt1, (d1, :, 1, d3)),
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reshape(kfn.alif_zt1, (d1, :, 1, d3)), dims=2)
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kfn.zit .= reshape(_zit, (d1, :, d3))
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#WORKING read out
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onForward( kfn.zit,
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kfn.on_zit,
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kfn.on_wRec,
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kfn.on_vt0,
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kfn.on_vt1,
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kfn.on_vth,
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kfn.on_vRest,
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kfn.on_zt1,
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kfn.on_alpha,
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kfn.on_phi,
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kfn.on_epsilonRec,
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kfn.on_refractoryCounter,
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kfn.on_refractoryDuration,
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kfn.on_gammaPd)
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error("debug end kfn forward")
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return kfn.on_zt1
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end
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function lifForward(zit,
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lif_zit,
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lif_wRec,
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lif_vt0,
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lif_vt1,
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lif_vth,
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lif_vRest,
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lif_zt1,
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lif_alpha,
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lif_phi,
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lif_epsilonRec,
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lif_refractoryCounter,
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lif_refractoryDuration,
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lif_gammaPd)
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_, _, d3, d4 = size(lif_wRec)
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lif_zit .= zit .* ones(size(lif_wRec)...) # project zit into lif_zit
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function lifForward(kfn_zit,
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zit,
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wRec,
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vt0,
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vt1,
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vth,
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vRest,
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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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d1, d2, d3, d4 = size(wRec)
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zit .= reshape(kfn_zit, (d1, d2, 1, d4)) .* ones(size(wRec)...) # 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 view(lif_refractoryCounter, :, :, i, j)[1] > 0 # refractory period is active
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view(lif_refractoryCounter, :, :, i, j)[1] -= 1
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view(lif_zt1, :, :, i, j)[1] = 0
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view(lif_vt1, :, :, i, j)[1] =
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view(lif_alpha, :, :, i, j)[1] * view(lif_vt0, :, :, i, j)[1]
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view(lif_phi, :, :, i, j)[1] = 0.0
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view(lif_epsilonRec, :, :, i, j) .= view(lif_alpha, :, :, i, j)[1] .*
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view(lif_epsilonRec, :, :, i, j)
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if view(refractoryCounter, :, :, i, j)[1] > 0 # refractory period is active
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view(refractoryCounter, :, :, i, j)[1] -= 1
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view(zt1, :, :, i, j)[1] = 0
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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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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 # refractory period is inactive
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view(lif_vt1, :, :, i, j)[1] =
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(view(lif_alpha, :, :, i, j)[1] * view(lif_vt0,:, :, i, j)[1]) +
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sum(view(lif_zit, :, :, i, j) .* view(lif_wRec, :, :, i, j))
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if view(lif_vt1, :, :, i, j)[1] > view(lif_vth, :, :, i, j)[1]
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view(lif_zt1, :, :, i, j)[1] = 1
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view(lif_refractoryCounter, :, :, i, j)[1] =
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view(lif_refractoryDuration, :, :, i, j)[1]
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view(lif_firingCounter, :, :, i, j)[1] += 1
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view(lif_vt1, :, :, i, j)[1] = view(lif_vRest, :, :, i, j)[1]
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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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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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view(lif_zt1, :, :, i, j)[1] = 0
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view(zt1, :, :, i, j)[1] = 0
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end
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# there is a difference from alif formula
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view(lif_phi, :, :, i, j)[1] =
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(view(lif_gammaPd, :, :, i, j)[1] / view(lif_vth, :, :, i, j)[1]) *
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max(0, 1 - ((view(lif_vt1, :, :, i, j)[1] - view(lif_vth, :, :, i, j)[1]) /
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view(lif_vth, :, :, i, j)[1]))
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view(lif_epsilonRec, :, :, i, j) .=
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(view(lif_alpha, :, :, i, j)[1] .* view(lif_epsilonRec, :, :, i, j)) +
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view(lif_zit, :, :, i, j)
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view(phi, :, :, i, j)[1] =
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(view(gammaPd, :, :, i, j)[1] / view(vth, :, :, i, j)[1]) *
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max(0, 1 - ((view(vt1, :, :, i, j)[1] - view(vth, :, :, i, j)[1]) /
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view(vth, :, :, i, j)[1]))
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view(epsilonRec, :, :, i, j) .=
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(view(alpha, :, :, i, j)[1] .* view(epsilonRec, :, :, i, j)) +
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view(zit, :, :, i, j)
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end
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end
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end
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function alifForward(zit,
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alif_zit,
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alif_wRec,
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alif_vt0,
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alif_vt1,
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alif_vth,
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alif_avth,
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alif_vRest,
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alif_zt1,
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alif_alpha,
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alif_phi,
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alif_epsilonRec,
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alif_epsilonRecA,
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alif_refractoryCounter,
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alif_refractoryDuration,
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alif_a,
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alif_beta,
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alif_rho,
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alif_gammaPd)
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_, _, d3, d4 = size(alif_wRec)
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alif_zit .= zit .* ones(size(alif_wRec)...) # project zit into alif_zit
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function alifForward(kfn_zit,
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zit,
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wRec,
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vt0,
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vt1,
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vth,
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avth,
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vRest,
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zt1,
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alpha,
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phi,
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epsilonRec,
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epsilonRecA,
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refractoryCounter,
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refractoryDuration,
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a,
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beta,
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rho,
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gammaPd)
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d1, d2, d3, d4 = size(wRec)
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zit .= reshape(kfn_zit, (d1, d2, 1, d4)) .* ones(size(wRec)...) # 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 view(alif_refractoryCounter, :, :, i, j)[1] > 0 # refractory period is active
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view(alif_refractoryCounter, :, :, i, j)[1] -= 1
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view(alif_zt1, :, :, i, j)[1] = 0
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view(alif_vt1, :, :, i, j)[1] = view(alif_alpha, :, :, i, j)[1] *
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view(alif_vt0, :, :, i, j)[1]
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view(alif_phi, :, :, i, j)[1] = 0.0
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view(alif_epsilonRec, :, :, i, j) .= view(alif_alpha, :, :, i, j)[1] .*
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view(alif_epsilonRec, :, :, i, j)
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view(alif_a, :, :, i, j)[1] =
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(view(alif_rho, :, :, i, j)[1] * view(alif_a, :, :, i, j)[1]) + 0
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if view(refractoryCounter, :, :, i, j)[1] > 0 # refractory period is active
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view(refractoryCounter, :, :, i, j)[1] -= 1
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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(alif_vt1, :, :, i, j)[1] =
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(view(alif_alpha, :, :, i, j)[1] * view(alif_vt0,:, :, i, j)[1]) +
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sum(view(alif_zit, :, :, i, j) .* view(alif_wRec, :, :, i, j))
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view(alif_avth, :, :, i, j)[1] = view(alif_vth, :, :, i, j)[1] +
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(view(alif_beta, :, :, i, j)[1] * view(alif_a, :, :, i, j)[1])
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if view(alif_vt1, :, :, i, j)[1] > view(alif_avth, :, :, i, j)[1]
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view(alif_zt1, :, :, i, j)[1] = 1
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view(alif_refractoryCounter, :, :, i, j)[1] =
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view(alif_refractoryDuration, :, :, i, j)[1]
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view(alif_firingCounter, :, :, i, j)[1] += 1
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view(alif_vt1, :, :, i, j)[1] = view(alif_vRest, :, :, i, j)[1]
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view(alif_a, :, :, i, j)[1] = (view(alif_rho, :, :, i, j)[1] *
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view(alif_a, :, :, i, j)[1]) + 1
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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(alif_zt1, :, :, i, j)[1] = 0
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view(alif_a, :, :, i, j)[1] =
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(view(alif_rho, :, :, i, j)[1] * view(alif_a, :, :, i, j)[1]) + 0
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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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view(alif_phi, :, :, i, j)[1] =
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(view(alif_gammaPd, :, :, i, j)[1] / view(alif_vth, :, :, i, j)[1]) *
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max(0, 1 - ((view(alif_vt1, :, :, i, j)[1] - view(alif_avth, :, :, i, j)[1]) /
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view(alif_vth, :, :, i, j)[1]))
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view(alif_epsilonRec, :, :, i, j) .=
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(view(alif_alpha, :, :, i, j) .* view(alif_epsilonRec, :, :, i, j)) +
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view(alif_zit, :, :, i, j)
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view(alif_epsilonRecA, :, :, i, j) .=
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(view(alif_phi, :, :, i, j)[1] .* view(alif_epsilonRec, :, :, i, j)) +
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((view(alif_rho, :, :, i, j)[1] -
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(view(alif_phi, :, :, i, j)[1] * view(alif_beta, :, :, i, j)[1])) .*
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view(alif_epsilonRecA, :, :, i, j))
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view(phi, :, :, i, j)[1] =
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(view(gammaPd, :, :, i, j)[1] / view(vth, :, :, i, j)[1]) *
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max(0, 1 - ((view(vt1, :, :, i, j)[1] - view(avth, :, :, i, j)[1]) /
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view(vth, :, :, i, j)[1]))
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view(epsilonRec, :, :, i, j) .=
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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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zit,
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wRec,
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vt0,
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vt1,
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vth,
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vRest,
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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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d1, d2, d3, d4 = size(wRec)
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zit .= reshape(kfn_zit, (d1, d2, 1, d4)) .* ones(size(wRec)...) # 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 view(refractoryCounter, :, :, i, j)[1] > 0 # refractory period is active
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view(refractoryCounter, :, :, i, j)[1] -= 1
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view(zt1, :, :, i, j)[1] = 0
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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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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 # refractory period is inactive
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view(vt1, :, :, i, j)[1] =
|
||||
(view(alpha, :, :, i, j)[1] * view(vt0,:, :, i, j)[1]) +
|
||||
sum(view(zit, :, :, i, j) .* view(wRec, :, :, i, j))
|
||||
if view(vt1, :, :, i, j)[1] > view(vth, :, :, i, j)[1]
|
||||
view(zt1, :, :, i, j)[1] = 1
|
||||
view(refractoryCounter, :, :, i, j)[1] =
|
||||
view(refractoryDuration, :, :, i, j)[1]
|
||||
view(firingCounter, :, :, i, j)[1] += 1
|
||||
view(vt1, :, :, i, j)[1] = view(vRest, :, :, i, j)[1]
|
||||
else
|
||||
view(zt1, :, :, i, j)[1] = 0
|
||||
end
|
||||
# there is a difference from alif formula
|
||||
view(phi, :, :, i, j)[1] =
|
||||
(view(gammaPd, :, :, i, j)[1] / view(vth, :, :, i, j)[1]) *
|
||||
max(0, 1 - ((view(vt1, :, :, i, j)[1] - view(vth, :, :, i, j)[1]) /
|
||||
view(vth, :, :, i, j)[1]))
|
||||
view(epsilonRec, :, :, i, j) .=
|
||||
(view(alpha, :, :, i, j)[1] .* view(epsilonRec, :, :, i, j)) +
|
||||
view(zit, :, :, i, j)
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
|
||||
|
||||
|
||||
80
src/type.jl
80
src/type.jl
@@ -24,7 +24,7 @@ Base.@kwdef mutable struct kfn_1 <: knowledgeFn
|
||||
zit::Union{AbstractArray, Nothing} = nothing # 3D activation matrix
|
||||
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# LIF #
|
||||
# LIF Neurons #
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# a projection of kfn.zit into lif dimension for broadcasting later)
|
||||
lif_zit::Union{AbstractArray, Nothing} = nothing
|
||||
@@ -49,7 +49,7 @@ Base.@kwdef mutable struct kfn_1 <: knowledgeFn
|
||||
lif_firingCounter::Union{AbstractArray, Nothing} = nothing
|
||||
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# ALIF #
|
||||
# ALIF Neurons #
|
||||
# ---------------------------------------------------------------------------- #
|
||||
alif_zit::Union{AbstractArray, Nothing} = nothing
|
||||
|
||||
@@ -78,24 +78,51 @@ Base.@kwdef mutable struct kfn_1 <: knowledgeFn
|
||||
alif_beta::Union{AbstractArray, Nothing} = nothing # β, constant, value from paper
|
||||
alif_rho::Union{AbstractArray, Nothing} = nothing # ρ, threshold adaptation decay factor
|
||||
alif_tau_a::AbstractFloat = 100.0 # τ_a, adaption time constant in millisecond
|
||||
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# Output Neurons #
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# output neuron is based on LIF
|
||||
on_zit::Union{AbstractArray, Nothing} = nothing
|
||||
|
||||
on_wRec::Union{AbstractArray, Nothing} = nothing
|
||||
on_vt0::Union{AbstractArray, Nothing} = nothing
|
||||
on_vt1::Union{AbstractArray, Nothing} = nothing
|
||||
on_vth::Union{AbstractArray, Nothing} = nothing
|
||||
on_vRest::Union{AbstractArray, Nothing} = nothing
|
||||
on_zt0::Union{AbstractArray, Nothing} = nothing
|
||||
on_zt1::Union{AbstractArray, Nothing} = nothing
|
||||
on_refractoryCounter::Union{AbstractArray, Nothing} = nothing
|
||||
on_refractoryDuration::Union{AbstractArray, Nothing} = nothing
|
||||
on_alpha::Union{AbstractArray, Nothing} = nothing
|
||||
on_delta::AbstractFloat = 1.0
|
||||
on_tau_m::AbstractFloat = 20.0
|
||||
on_phi::Union{AbstractArray, Nothing} = nothing
|
||||
on_epsilonRec::Union{AbstractArray, Nothing} = nothing
|
||||
on_eta::Union{AbstractArray, Nothing} = nothing
|
||||
on_gammaPd::Union{AbstractArray, Nothing} = nothing
|
||||
|
||||
on_firingCounter::Union{AbstractArray, Nothing} = nothing
|
||||
end
|
||||
|
||||
# outer constructor
|
||||
function kfn_1(params::Dict)
|
||||
kfn = kfn_1()
|
||||
kfn.params = params
|
||||
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# initialize activation matrix #
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# row*col is a 2D matrix represent all RSNN activation
|
||||
row, col, batch = kfn.params[:inputPort][:signal][:numbers] # z-axis represent signal batch number
|
||||
row += kfn.params[:inputPort][:noise][:numbers][1]
|
||||
col += kfn.params[:inputPort][:signal][:numbers][2]
|
||||
# row += kfn.params[:inputPort][:noise][:numbers][1]
|
||||
col += kfn.params[:inputPort][:noise][:numbers][2]
|
||||
col += kfn.params[:computeNeuron][:lif][:numbers][2]
|
||||
col += kfn.params[:computeNeuron][:alif][:numbers][2]
|
||||
|
||||
# activation matrix
|
||||
kfn.zit = zeros(row, col, 1, batch)
|
||||
kfn.zit = zeros(row, col, batch)
|
||||
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# LIF config #
|
||||
# ---------------------------------------------------------------------------- #
|
||||
@@ -129,8 +156,8 @@ function kfn_1(params::Dict)
|
||||
end
|
||||
# project 3D w into 4D kfn.lif_wRec
|
||||
kfn.lif_wRec = reshape(w, (row, col, z, 1)) .* ones(row, col, z, batch)
|
||||
|
||||
kfn.lif_firingCounter = zeros(1, 1, z, batch)
|
||||
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# ALIF config #
|
||||
# ---------------------------------------------------------------------------- #
|
||||
@@ -166,21 +193,48 @@ function kfn_1(params::Dict)
|
||||
slice[i] = randn()/10 # assign weight to synaptic connection
|
||||
end
|
||||
end
|
||||
# project 3D w into 4D kfn.lif_wRec
|
||||
# project 3D w into 4D kfn.alif_wRec
|
||||
kfn.alif_wRec = reshape(w, (row, col, z, 1)) .* ones(row, col, z, batch)
|
||||
|
||||
kfn.alif_firingCounter = zeros(1, 1, z, batch)
|
||||
|
||||
# ---------------------------------------------------------------------------- #
|
||||
# output config #
|
||||
# ---------------------------------------------------------------------------- #
|
||||
#WORKING
|
||||
z = kfn.params[:outputPort][:numbers][1] * kfn.params[:outputPort][:numbers][2]
|
||||
kfn.on_zit = zeros(row, col, z, batch)
|
||||
kfn.on_vt0 = zeros(1, 1, z, batch)
|
||||
kfn.on_vt1 = zeros(1, 1, z, batch)
|
||||
kfn.on_vth = ones(1, 1, z, batch)
|
||||
kfn.on_vRest = zeros(1, 1, z, batch)
|
||||
kfn.on_zt0 = zeros(1, 1, z, batch)
|
||||
kfn.on_zt1 = zeros(1, 1, z, batch)
|
||||
kfn.on_refractoryCounter = zeros(1, 1, z, batch)
|
||||
kfn.on_refractoryDuration = ones(1, 1, z, batch) .* 1
|
||||
kfn.on_alpha = ones(1, 1, z, batch) .* (exp(-kfn.on_delta / kfn.on_tau_m))
|
||||
kfn.on_phi = zeros(1, 1, z, batch)
|
||||
kfn.on_epsilonRec = zeros(row, col, z, batch)
|
||||
kfn.on_eta = zeros(1, 1, z, batch)
|
||||
kfn.on_gammaPd = zeros(1, 1, z, batch) .* 0.3
|
||||
|
||||
# subscription
|
||||
w = zeros(row, col, z)
|
||||
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_wRec
|
||||
kfn.on_wRec = reshape(w, (row, col, z, 1)) .* ones(row, col, z, batch)
|
||||
kfn.on_firingCounter = zeros(1, 1, z, batch)
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
# error("debug end outer constructor")
|
||||
return kfn
|
||||
end
|
||||
|
||||
|
||||
Reference in New Issue
Block a user