tensorflow two session and run run

tf_two_session.py

import tensorflow as tf
import numpy as np 

class A:
    def __init__(self):
        self.X = tf.placeholder(tf.float32, [None, 10])
        self.l1 = tf.layers.dense(self.X, 10)

        self.sess = tf.Session()
        self.sess.run(tf.global_variables_initializer())

    
    def run(self):
        print(self.sess.run(self.l1, feed_dict={
            self.X: np.ones((3, 10))
        }))


a1 = A()
a2 = A()

for i in range(10):
    a1.run()
    a2.run()