Incorporate PyTorch 2 forward-mode autograd
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Remove all usage of torch._vmap_internals._vmap
and replace with new tools that came out in PyTorch 2. Specifically, all Jacobian and Hessian computation should now use the torch.func.jacfwd
utility for forward-mode automatic differentiation