线性回归模型中，tf.random.uniform生成的1维W矩阵无法在sess.run(W)中顺利运行

写一个简单的线性回归模型，在生成1维的W矩阵，取值是[-1,1]之间的随机数之后，该W不能顺利使得sess.run(W)运行。
下面是相关代码，相关模块已经安装调试：

# 生成1维的W矩阵，取值是[-1,1]之间的随机数
W= tf.Variable(tf.random.uniform([1],-1.0,1.0), name='W')
# 构造session
sess = tf.compat.v1.Session()

# 全局变量初始化
tf.compat.v1.disable_eager_execution()
init = tf.compat.v1.global_variables_initializer()
# 执行
sess.run(init)

# 初始化的w是多少
print("W = ", sess.run(W))

报错如下

Traceback (most recent call last):
  File "D:\pythonProject\main.py", line 44, in <module>
    print("W = ", sess.run(W), "b = ", sess.run(b), "lossesss = ", sess.run(loss))
  File "D:\pythonProject\venv\lib\site-packages\tensorflow\python\client\session.py", line 970, in run
    result = self._run(None, fetches, feed_dict, options_ptr,
  File "D:\pythonProject\venv\lib\site-packages\tensorflow\python\client\session.py", line 1178, in _run
    fetch_handler = _FetchHandler(
  File "D:\pythonProject\venv\lib\site-packages\tensorflow\python\client\session.py", line 488, in __init__
    self._fetch_mapper = _FetchMapper.for_fetch(fetches)
  File "D:\pythonProject\venv\lib\site-packages\tensorflow\python\client\session.py", line 279, in for_fetch
    return _ElementFetchMapper(fetches, contraction_fn)
  File "D:\pythonProject\venv\lib\site-packages\tensorflow\python\client\session.py", line 310, in __init__
    raise TypeError(f'Argument `fetch` = {fetch} has invalid type '
TypeError: Argument `fetch` = <tf.Variable 'W:0' shape=(1,) dtype=float32> has invalid type "ResourceVariable" must be a string or Tensor. (Can not convert a ResourceVariable into a Tensor or Operation.)

Process finished with exit code 1

请问该如何修改代码呢?