def SetParams(ss, sheet, setMsg):
"""
SetParams sets the params for "Base" and then current ParamSet.
If sheet is empty, then it applies all avail sheets (e.g., Network, Sim)
otherwise just the named sheet
if setMsg = true then we output a message for each param that was set.
"""
if sheet == "":
ss.Params.ValidateSheets(go.Slice_string(["Network", "Sim"]))
ss.SetParamsSet("Base", sheet, setMsg)
if ss.ParamSet != "" and ss.ParamSet != "Base":
sps = ss.ParamSet.split()
for ps in sps:
ss.SetParamsSet(ps, sheet, setMsg)
nt = ss.Net
v1 = leabra.Layer(nt.LayerByName("V1"))
elat = leabra.Prjn(v1.RcvPrjns[2])
elat.WtScale.Rel = ss.ExcitLateralScale
elat.Learn.Learn = ss.ExcitLateralLearn
ilat = leabra.Prjn(v1.RcvPrjns[3])
ilat.WtScale.Abs = ss.InhibLateralScale
def LesionUnit(ss, lay, unx, uny):
"""
LesionUnit lesions given unit number in given layer by setting all weights to 0
"""
ui = etensor.Prjn2DIdx(lay.Shape(), False, uny, unx)
rpj = lay.RecvPrjns()
for pji in rpj:
pj = leabra.Prjn(handle=pji) # todo: not clear why handle needed here?
nc = int(pj.RConN[ui])
st = int(pj.RConIdxSt[ui])
for ci in range(nc):
rsi = pj.RSynIdx[st+ci]
sy = pj.Syns[rsi]
sy.Wt = 0
pj.Learn.LWtFmWt(sy)
def SetParamsSet(ss, setNm, sheet, setMsg):
"""
SetParamsSet sets the params for given params.Set name.
If sheet is empty, then it applies all avail sheets (e.g., Network, Sim)
otherwise just the named sheet
if setMsg = true then we output a message for each param that was set.
"""
pset = ss.Params.SetByNameTry(setNm)
if sheet == "" or sheet == "Network":
if "Network" in pset.Sheets:
netp = pset.SheetByNameTry("Network")
ss.Net.ApplyParams(netp, setMsg)
hid = leabra.Layer(ss.Net.LayerByName("Hidden"))
fmhid = leabra.Prjn(hid.RcvPrjns.SendName("Hidden"))
fmhid.WtInit.Mean = ss.RecurrentWt
if sheet == "" or sheet == "Sim":
if "Sim" in pset.Sheets:
simp = pset.SheetByNameTry("Sim")
pyparams.ApplyParams(ss, simp, setMsg)
simp.Apply(ss, setMsg)