使用tensorflow時遇到的一些問題彙總·

1. 使用tensorboard no scalar data was found。

解決方案link：https://github.com/tensorflow/tensorflow/issues/2353

在使用tf.summary記錄驗證集的損失時，總是發現no scalar data was found。

with tf.Session(graph=g) as sess:
    
    sess.run(tf.global_variables_initializer())
    
    # create FileWrite object that writes the logs
    file_writer = tf.summary.FileWriter(logdir='logs/3', graph=g)
    
    for i in range(5):
        # fetch the summary from the graph
        result, summary = sess.run([train_op, merged_summary],
                                    feed_dict={some_value: i})
        # write the summary to the log
        file_writer.add_summary(summary=summary, global_step=i)
        file_writer.flush()      

記得在file_writer.add_summary語句之後加一個file_writer.flush()。因為電腦可能會覺得你的資料太便宜了，“Turned out my example ops were too "cheap" to compute, and adding a 

file_writer.flush()

 after adding the summary to the write solved the issue.“