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m = 4
n = 4
fm = nerv.CuMatrixFloat(m, n)
dm = nerv.CuMatrixDouble(m, n)
print(type(dm), nerv.typename(dm))
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)
fs = fm:create()
fs:softmax(fm)
-- print(fs)
print(dm)
ds = dm:create()
ds:softmax(dm)
-- print(ds)
print(fs)
print(fs + fs)
print(ds + ds)
print(fs - fs)
print(ds - ds)
a = fs:create()
a:mul_elem(fs, fs)
print(a)
a:log_elem(fs)
print(a)
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