__author__ = "auroua"
import theano_test.tensor as T
from theano_test import function
from theano_test import pp
x = T.dscalar("x")
y = T.dscalar("y")
z = x + y
f = function([x, y], z)
f(2, 3)
z.eval({x: 16.3, y: 14.3})
print z
print pp(z)
xm = T.dmatrix("xm")
ym = T.dmatrix("ym")
zm = xm + ym
f2 = function((xm, ym), zm)
f2(np.array([[1, 2], [2, 3]]), np.array([[3, 4], [4, 5]]))
xv = T.dvector("xv")
yv = T.dvector("yv")
zv = xv ** 2 + yv ** 2 + 2 * xv * yv
fv = function((xv, yv), zv)
print pp(zv)
print fv([1, 2], [3, 4])
#encoding:UTF-8
__author__ = 'auroua'
from theano_test import pp
import theano_test.tensor as T
from theano_test import function
#简单标量函数的求导
x = T.dscalar('x')
y = x ** 2
gy = T.grad(y,x)
print pp(gy)
f = function([x],gy)
print f(4)
print f(94.2)
print pp(f.maker.fgraph.outputs[0])
#sigmodi的求导
xs = T.dmatrix('x')
y = T.sum(1/(1+T.exp(-xs)))
gs = T.grad(y,xs)
dlogistic = function([xs],gs)
print dlogistic([[0, 1], [-1, -2]])
