TensorBoard一幅图中显示多条曲线

import tensorflow as tf
from numpy import random
 
writer_1 = tf.summary.FileWriter("./logs/plot_1")
writer_2 = tf.summary.FileWriter("./logs/plot_2")
 
log_var = tf.Variable(0.0)
tf.summary.scalar("loss", log_var)
 
write_op = tf.summary.merge_all()
 
session = tf.InteractiveSession()
session.run(tf.global_variables_initializer())
 
for i in range(100):
    # for writer 1
    summary = session.run(write_op, {log_var: random.rand()})
    writer_1.add_summary(summary, i)
    writer_1.flush()
 
    # for writer 2
    summary = session.run(write_op, {log_var: random.rand()})
    writer_2.add_summary(summary, i)
    writer_2.flush()

pyhton tensorboard --logdir=./logs  

截图所示：