14278151373a35f7ad805cbcc3eed2ffb4e995e9,tests/test_embeddings.py,,,#,29

Before Change

        norm = np.linalg.norm(K.get_value(lookup.params[0]), axis=1)
        self.assertTrue(np.allclose(norm, np.ones_like(norm).astype("float32")))

if __name__ == "__main__":
    unittest.main()

After Change

from keras import backend as K


X1 = np.array([[1], [2]], dtype="int32")
W1 = np.array([[0.1, 0.2], [0.3, 0.4], [0.5, 0.6]], dtype="float32")


def test_unitnorm_constraint():

Instances