

def random_uniform(shape, low=0.0, high=1.0, dtype=_FLOATX, seed=None):
    if (seed is None):
        seed = np.random.randint(10000000.0)
    return tf.random_uniform(shape, minval=low, maxval=high, dtype=dtype, seed=seed)

dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py random_uniform/original