Python set_value Exemples

Exemple #1

Fichier : test_backends.py Projet : esube/keras

    def test_value_manipulation(self):
        val = np.random.random((4, 2))
        xth = KTH.variable(val)
        xtf = KTF.variable(val)

        # get_value
        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # set_value
        val = np.random.random((4, 2))
        KTH.set_value(xth, val)
        KTF.set_value(xtf, val)

        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # count_params
        assert KTH.count_params(xth) == KTF.count_params(xtf)

        # print_tensor
        check_single_tensor_operation('print_tensor', ())
        check_single_tensor_operation('print_tensor', (2,))
        check_single_tensor_operation('print_tensor', (4, 3))
        check_single_tensor_operation('print_tensor', (1, 2, 3))

        val = np.random.random((3, 2))
        xth = KTH.variable(val)
        xtf = KTF.variable(val)
        assert KTH.get_variable_shape(xth) == KTF.get_variable_shape(xtf)

Exemple #2

Fichier : backend_test.py Projet : KrisNeys/keras-oldfork

    def test_value_manipulation(self):
        val = np.random.random((4, 2))
        xth = KTH.variable(val)
        xtf = KTF.variable(val)

        # get_value
        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # set_value
        val = np.random.random((4, 2))
        KTH.set_value(xth, val)
        KTF.set_value(xtf, val)

        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # count_params
        assert KTH.count_params(xth) == KTF.count_params(xtf)

        # print_tensor
        check_single_tensor_operation('print_tensor', ())
        check_single_tensor_operation('print_tensor', (2, ))
        check_single_tensor_operation('print_tensor', (4, 3))
        check_single_tensor_operation('print_tensor', (1, 2, 3))

        val = np.random.random((3, 2))
        xth = KTH.variable(val)
        xtf = KTF.variable(val)
        assert KTH.get_variable_shape(xth) == KTF.get_variable_shape(xtf)

Exemple #3

Fichier : attention.py Projet : jiangnanHugo/deep_reasoning

    def reset_states(self):
        assert self.stateful, 'Layer must be stateful.'

        if hasattr(self, 'states'):
            K.set_value(self.states[0], np.zeros((self.batch_size, self.output_dim)))
            K.set_value(self.states[1], np.zeros((self.batch_size, self.output_dim)))
        else:
            self.states = [K.zeros((self.batch_size, self.output_dim)), 
                           K.zeros((self.batch_size, self.output_dim))]

Exemple #4

Fichier : test_backends.py Projet : CheRaissi/keras

    def test_value_manipulation(self):
        val = np.random.random((4, 2))
        xth = KTH.variable(val)
        xtf = KTF.variable(val)

        # get_value
        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # set_value
        val = np.random.random((4, 2))
        KTH.set_value(xth, val)
        KTF.set_value(xtf, val)

        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # count_params
        assert KTH.count_params(xth) == KTF.count_params(xtf)

Exemple #5

Fichier : test_backends.py Projet : slq0/motnet

    def test_value_manipulation(self):
        val = np.random.random((4, 2))
        xth = KTH.variable(val)
        xtf = KTF.variable(val)

        # get_value
        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # set_value
        val = np.random.random((4, 2))
        KTH.set_value(xth, val)
        KTF.set_value(xtf, val)

        valth = KTH.get_value(xth)
        valtf = KTF.get_value(xtf)
        assert valtf.shape == valth.shape
        assert_allclose(valth, valtf, atol=1e-05)

        # count_params
        assert KTH.count_params(xth) == KTF.count_params(xtf)

Exemple #6

Fichier : generative_alg.py Projet : BinbinBian/nli_generation

def shuffle_states(graph_model, indices):
    for l in graph_model.layers:
        if getattr(l, 'stateful', False): 
            for s in l.states:
                K.set_value(s, s.get_value()[indices])

Exemple #7

Fichier : attention.py Projet : jiangnanHugo/deep_reasoning

 def set_state(self, noise):
     K.set_value(self.states[0], noise)

Exemple #8

Fichier : generative_alg.py Projet : mdbishop/deep_reasoning

def shuffle_states(graph_model, indices):
    for l in graph_model.layers:
        if getattr(l, 'stateful', False):
            for s in l.states:
                K.set_value(s, s.get_value()[indices])

Exemple #9

 def set_state(self, noise):
     K.set_value(self.states[1], noise)