如何在Tensorflow中生成静态随机常数？

import tensorflow as tf

tf.random.set_seed(seed_value)

random_tensor = tf.random.uniform(shape, minval=min_value, maxval=max_value, dtype=data_type)

random_tensor = tf.random.normal(shape, mean=mean_value, stddev=stddev_value, dtype=data_type)

import tensorflow as tf

tf.random.set_seed(123)

# 生成均匀分布的随机常数
random_uniform_tensor = tf.random.uniform(shape=(2, 3), minval=0, maxval=1, dtype=tf.float32)
print("均匀分布的随机常数：")
print(random_uniform_tensor)

# 生成正态分布的随机常数
random_normal_tensor = tf.random.normal(shape=(2, 3), mean=0, stddev=1, dtype=tf.float32)
print("正态分布的随机常数：")
print(random_normal_tensor)