def softmax2D(M, t = 1.0):
E = F.map(M, lambda row: [math.exp(x/t) for x in row])
total = F.sum(F.map(E, lambda row: F.sum(row)))
return F.map(E, lambda row: [x/total for x in row])
def softmax(M, t = 1.0):
E = [math.exp(x/t) for x in M]
total = F.sum(E)
return [x/total for x in E]
