# Use Policy\_Trainer with TensorBoard

**URL:** <https://discuss.ray.io/t/use-policy-trainer-with-tensorboard/4097>\
**Category:** RLlib\
**Created:** [November 11, 2021, 12:38am UTC](https://discuss.ray.io/t/use-policy-trainer-with-tensorboard/4097 "2021-11-11T00:38:34Z")\
**Posts on this page:** 1\
**Showing post:** 33

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**Author:** ![Lars\_Simon\_Zehnder](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/lars_simon_zehnder/32/1185_2.png) [@Lars\_Simon\_Zehnder](https://discuss.ray.io/u/Lars_Simon_Zehnder)\
**Post date:** [November 12, 2021, 9:47pm UTC](https://discuss.ray.io/t/use-policy-trainer-with-tensorboard/4097/33 "2021-11-12T21:47:27Z")

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This is simply a mechanical thing every couple of seconds `tune` prints. If it takes longer, you get more prints (all identical in the most cases), if it is faster you get less. See [this answer](https://discuss.ray.io/t/read-tune-console-output-from-simple-q/3845/4) to my question for more infos.

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