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I'M Using Tensorboard Summarywriter To Add Scalar Metrics For The Experiment. If Experiment Crashed, And I Want To Continue It From Checkpoint, For Some Reason It Plots Metrics In A Really Weird Way. Even Though I Pass Global_Step=Epoch To The Summarywrit


maybe I should use explicit reporting instead of Tensorboard

It will do just the same 😞

there is no method for setting 

last iteration

, which is used for reporting when continuing the same task. maybe I could somehow change this value for the task?

Let me double check that...

overwriting this value is not ideal though, because for :monitor:gpu and :monitor:machine ...

That is a very good point

but for the metrics, I explicitly pass the number of epoch that my training is currently on...

Yes so the idea it already "knows" where you stopped, so when you are reporting "iteration 1" it knows it's actually 0+previous_last_iteration ...

  
  
Posted 2 years ago
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