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PyTorch 1.13 introduced a subclassed Tensor formatting issue. A potential workaround is pytorch/pytorch#82766 which I use for the fastai
TensorBase
compatibility patch intorch_core
.PyTorch 1.13 also adds "differentiable" as another
optim
hyperparameter and it looks like PyTorch 1.14 will add "fused" for at least a subset of optimizers. Since I modifiedOptimWrapper
not to error out in #3821, I changed theOptimWrapper
tests to only check for the subset of hyperparameters fastai cares about.Tested locally running the cuda and slow flags without issue.