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m = 10
n = 10
fm = nerv.MMatrixFloat(m, n)
dm = nerv.MMatrixDouble(m, n)
for i = 0, m - 1 do
for j = 0, n - 1 do
-- local t = math.random(10)
t = i / (j + 1)
fm[i][j] = t
dm[i][j] = t
end
end
print(fm)
print(dm)
fc = nerv.CuMatrixFloat(m, n)
dc = nerv.CuMatrixDouble(m, n)
fc:copy_from(fm)
dc:copy_from(dm)
print(fc)
print(dc)
sfc = fc:create()
sdc = dc:create()
sfc:softmax(fc)
print(sfc)
sdc:softmax(dc)
print(sdc)
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