I am considering to move my code base to tf.estimator.Estimator, but I cannot find an example on how to use it in combination with tensorboard summaries.
MWE:
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You can create a SummarySaverHook with tf.summary.merger_all() as the summary_op in the model_fn itself. Pass this hook to the training_hooks param of the EstimatorSpec constructor in your model_fn.
I don't think what @jagthebeetle said is exactly applicable here. As the hooks that you transfer to the estimator.train method cannot be run for the summaries that you define in your model_fn, since they won't be added to the merge_all op as they remain bounded by the scope of model_fn