Tensor of zeros as the jacobian for said inputs, which is the
        expected mathematical value. Defaults to "False".
  * **vectorize** (*bool**, **optional*) -- This feature is
    experimental. Please consider using "torch.func.jacrev()" or
    "torch.func.jacfwd()" instead if you are looking for something
    less experimental and more performant. When computing the
    jacobian, usually we invoke "autograd.grad" once per row of
    the jacobian. If this flag is "True", we perform only a single
    "autograd.grad" call with "batched_grad=True" which uses the
    vmap prototype feature. Though this should lead to performance
    improvements in many cases, because this feature is still
    experimental, there may be performance cliffs. See
    "torch.autograd.grad()"'s "batched_grad" parameter for more
    information.

  * **strategy** (*str**, **optional*) -- Set to ""forward-mode""
