def METHOD_NAME():
    inputs = tf.convert_to_tensor(np.random.randint(low=0, high=7, size=(2, 2)))
    layer = NoisyDense(5, name="noise_dense_auto_reset_noise")
    layer(inputs)
    initial_eps_kernel = tf.identity(layer.eps_kernel)
    initial_eps_bias = tf.identity(layer.eps_bias)
    layer.reset_noise()
    layer(inputs)
    new_eps_kernel = layer.eps_kernel
    new_eps_bias = layer.eps_bias
    np.testing.assert_raises(
        AssertionError,
        np.testing.assert_array_equal,
        initial_eps_kernel,
        new_eps_kernel,
    )
    np.testing.assert_raises(
        AssertionError,
        np.testing.assert_array_equal,
        initial_eps_bias,
        new_eps_bias,
    )