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Def a separate package, but I think it sounds like a great idea! In principle: tensorboard considers itself associated with tensorflow, but in practice the core reason it is popular is because it is actually fully separable from tensorflow. Maybe more to the point: tinygrad is a library with a focused purpose: to free the ML compute of closed source. Tensorflow falls squarely outside of this because it doesn't run on GPU/acceleration so its not part of the compute problem. That said, I think that the community would greatly benefit if there was a non-corporation-associated alternative to tensorboard. |
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https://www.tensorflow.org/tensorboard, but built specifically for tinygrad? tinyboard
A new dashboard with a similar (or exact same) API to wandb for saving and visualizing metrics, other debugging related stuff, or even visualizing the compiled model all done locally.
Thoughts? Maybe this could be a separate package?
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