test_ifelse.py 文件源码

python
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项目:Theano-Deep-learning 作者: GeekLiB 项目源码 文件源码
def test_lazy_if(self):
        # Tests that lazy if works .. even if the two results have different
        # shapes but the same type (i.e. both vectors, or matrices or
        # whatnot of same dtype)
        x = tensor.vector('x', dtype=self.dtype)
        y = tensor.vector('y', dtype=self.dtype)
        c = tensor.iscalar('c')
        f = theano.function([c, x, y], ifelse(c, x, y), mode=self.mode)
        self.assertFunctionContains1(f, self.get_ifelse(1))
        rng = numpy.random.RandomState(utt.fetch_seed())

        xlen = rng.randint(200)
        ylen = rng.randint(200)

        vx = numpy.asarray(rng.uniform(size=(xlen,)), self.dtype)
        vy = numpy.asarray(rng.uniform(size=(ylen,)), self.dtype)

        assert numpy.allclose(vx, f(1, vx, vy))
        assert numpy.allclose(vy, f(0, vx, vy))
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