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I've noticed that in tensorboard instead of having measurements (loss, energy, time, variance, etc.) correspond to number of iterations, it's currently correspond to number of samples, which is confusing and makes it difficult comparing the affect of different batch sizes.
As a workaround I can use relative time, but that makes sense only when I use the exact same machine.
The text was updated successfully, but these errors were encountered:
I now see that it's an option in the Tensorboard callback (update_freq). I suggest changing this attribute to 'batch' instead of update_freq=1 as it's currently set in the examples.
I've noticed that in tensorboard instead of having measurements (loss, energy, time, variance, etc.) correspond to number of iterations, it's currently correspond to number of samples, which is confusing and makes it difficult comparing the affect of different batch sizes.
As a workaround I can use relative time, but that makes sense only when I use the exact same machine.
The text was updated successfully, but these errors were encountered: