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import tensorflow as tf from numpy import randomwriter_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 1summary = session.run(write_op, {log_var: random.rand()})writer_1.add_summary(summary, i)writer_1.flush()# for writer 2summary = session.run(write_op, {log_var: random.rand()})writer_2.add_summary(summary, i)writer_2.flush()

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