import tensorflow as tf
# Repeatedly running this block with the same graph will generate the same
# sequences of 'a' and 'b'.
a = tf.random_uniform([1])
b = tf.random_normal([1])
print("Session 3")
with tf.Session() as sess3:
print(sess3.run(a)) # generates 'A1'
print(sess3.run(a)) # generates 'A2'
print(sess3.run(b)) # generates 'B1'
print(sess3.run(b)) # generates 'B2'
print("Session 4")
with tf.Session() as sess4:
print(sess4.run(a)) # generates 'A3'
print(sess4.run(a)) # generates 'A4'
print(sess4.run(b)) # generates 'B1'
print(sess4.run(b)) # generates 'B2'
运行结果
Session 3
[0.02795756]
[0.7401881]
[1.0417315]
[-1.4342024]
Session 4
[0.02795756]
[0.7401881]
[1.0417315]
[-1.4342024]