I am trying to perform a testing on a trained model. I have restored the checkpoint in the session. The model has a lot of operations but I am only testing part of it.
I would like to see the op network that I am testing in the tensorboard, but currently, it's all entangled with all other operations that I do not want.
Is there any way to store the tf.summary for the selective operations that you are performing in the session?
Instead of merging all summaries by merged_summary = tf.summary.merge_all(), you can merge the ops that you wanted like merged_summary_group1 = tf.summary.merge([op1, op2, ...]). After that, replacing all merged_summary in sess.run with merged_summary_group1.