test_opt.py 文件源码

def test_const_type_in_mul_canonizer():
    input = dmatrix()
    w = dmatrix()
    visb = dvector()
    hidb = dvector()
    betas = dvector()
    a = dvector()

    def sigm(x):
        return 1. / (1 + tensor.exp(-x))

    hid = sigm((tensor.dot(w, input) + hidb) * betas)

    vis_gauss1 = (tensor.dot(w.T, hid) + visb) * betas / (2 * a * a)
    vis_gauss2 = (tensor.dot(w.T, hid) + visb) * betas / (2. * a * a)

    f1 = function([input, w, visb, hidb, betas, a], vis_gauss1)
    f2 = function([input, w, visb, hidb, betas, a], vis_gauss2)

    ival = numpy.random.rand(5, 5)
    wval = numpy.random.rand(5, 5)
    visbval = numpy.random.rand(5)
    hidbval = numpy.random.rand(5)
    betaval = numpy.random.rand(5)
    aval = numpy.random.rand(5)

    utt.assert_allclose(
        f2(ival, wval, visbval, hidbval, betaval, aval),
        f1(ival, wval, visbval, hidbval, betaval, aval))