Python random_normal 예제들

예제 #1

파일: test_backends.py 프로젝트: sjebbara/keras

    def test_random_normal(self):
        mean = 0.0
        std = 1.0
        rand = KTF.get_value(KTF.random_normal((1000, 1000), mean=mean, std=std))
        assert rand.shape == (1000, 1000)
        assert np.abs(np.mean(rand) - mean) < 0.01
        assert np.abs(np.std(rand) - std) < 0.01

        rand = KTF.get_value(KTF.random_normal((1000, 1000), mean=mean, std=std))
        assert rand.shape == (1000, 1000)
        assert np.abs(np.mean(rand) - mean) < 0.01
        assert np.abs(np.std(rand) - std) < 0.01

예제 #2

파일: test_backends.py 프로젝트: nimishzynga/keras

    def test_random_uniform(self):
        mean = 0.
        std = 1.
        rand = KTF.get_value(KTF.random_normal((1000, 1000), mean=mean, std=std))
        assert(rand.shape == (1000, 1000))
        assert(np.abs(np.mean(rand) - mean) < 0.01)
        assert(np.abs(np.std(rand) - std) < 0.01)

        rand = KTF.get_value(KTF.random_normal((1000, 1000), mean=mean, std=std))
        assert(rand.shape == (1000, 1000))
        assert(np.abs(np.mean(rand) - mean) < 0.01)
        assert(np.abs(np.std(rand) - std) < 0.01)

예제 #3

    def test_random_uniform(self):
        mean = 0.
        std = 1.
        rand = KTF.get_value(KTF.random_normal((1000, 1000), mean=mean, std=std))
        assert(rand.shape == (1000, 1000))
        assert(np.abs(np.mean(rand) - mean) < 0.01)
        assert(np.abs(np.std(rand) - std) < 0.01)

        rand = KTF.get_value(KTF.random_normal((1000, 1000), mean=mean, std=std))
        assert(rand.shape == (1000, 1000))
        assert(np.abs(np.mean(rand) - mean) < 0.01)
        assert(np.abs(np.std(rand) - std) < 0.01)

예제 #4

파일: backend_test.py 프로젝트: oarriaga/keras

    def test_random_normal(self):
        mean = 0.
        std = 1.
        rand = KTF.eval(KTF.random_normal((1000, 1000), mean=mean, stddev=std))
        assert rand.shape == (1000, 1000)
        assert np.abs(np.mean(rand) - mean) < 0.01
        assert np.abs(np.std(rand) - std) < 0.01

        rand = KTH.eval(KTH.random_normal((1000, 1000), mean=mean, stddev=std))
        assert rand.shape == (1000, 1000)
        assert np.abs(np.mean(rand) - mean) < 0.01
        assert np.abs(np.std(rand) - std) < 0.01

예제 #5

파일: backend_test.py 프로젝트: KrisNeys/keras-oldfork

    def test_random_normal(self):
        mean = 0.
        std = 1.
        rand = KTF.eval(KTF.random_normal((1000, 1000), mean=mean, stddev=std))
        assert rand.shape == (1000, 1000)
        assert np.abs(np.mean(rand) - mean) < 0.01
        assert np.abs(np.std(rand) - std) < 0.01

        rand = KTH.eval(KTH.random_normal((1000, 1000), mean=mean, stddev=std))
        assert rand.shape == (1000, 1000)
        assert np.abs(np.mean(rand) - mean) < 0.01
        assert np.abs(np.std(rand) - std) < 0.01