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Option 1 - factor out all tf code currently in TensorBoardCallback to pfl.internal.ops or pfl.internal.bridge, but there is a lot of tf code so Option 2 may be better and simpler.
Option 2 - Make a new callback (named e.g. TensorBoardWithPyTorch) specifically for PyTorch.
(102061658)
The text was updated successfully, but these errors were encountered:
We currently have
TensorBoardCallback
for tensorflow https://apple.github.io/pfl-research/reference/callback.html#pfl.callback.TensorBoardCallback.We should also have a callback for TensorBoard to use with pytorch models.
Option 1 - factor out all tf code currently in
TensorBoardCallback
topfl.internal.ops
orpfl.internal.bridge
, but there is a lot of tf code so Option 2 may be better and simpler.Option 2 - Make a new callback (named e.g.
TensorBoardWithPyTorch
) specifically for PyTorch.(102061658)
The text was updated successfully, but these errors were encountered: