def random_uniform(shape, low=0.0, high=1.0, dtype=_FLOATX, seed=None):
    if seed == None:
        seed = np.random.randint(10e6)
    return tf.random_uniform(shape, minval=low, maxval=high,
                             dtype=dtype, seed=seed)
dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py/random_uniform/operator `is` -> `==`