m=10n=10fm=nerv.MMatrixFloat(m,n)dm=nerv.MMatrixDouble(m,n)fori=0,m-1doforj=0,n-1do-- local t = math.random(10)t=i/(j+1)fm[i][j]=tdm[i][j]=tendendprint("test fm:get_dataref_value:",fm:get_dataref_value())print("forced a garbade collect")collectgarbage("collect")print("test fm:get_dataref_value:",fm:get_dataref_value())print(fm)-- print(fm:softmax())print(dm)-- print(dm:softmax())