Comments (2)
@patrick-kidger Everything works once I updated the necessary libraries. My bad!
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Which version of JAX are you using? This was added in one of the more recent JAX releases. (It's possible we need to bump the minimum version required by Optimistix.)
from optimistix.
Related Issues (20)
- Pytree inputs for `rtol` and `atol` or custom termination condition? HOT 7
- Can't use Optimistix solvers with `eqx.Module`s and filtered transformations HOT 2
- BestSoFarMinimiser behavior HOT 1
- correct name of the exception class that Equinox uses for runtime errors HOT 1
- Error in "optimistix/docs/examples /optimise_diffeq.ipynb" HOT 1
- Issue with vmap `optx.least_squares`. HOT 2
- grad of vmap of function which wraps an optax solver occasionally fails HOT 2
- `BestSoFar...` wanted behavior ? HOT 1
- Classical newton methods HOT 6
- Non-finite values in the root function are not handled well HOT 2
- Will constrained optimization be supported? HOT 4
- Behavior of BFGS HOT 2
- pytree output structure mismatch error in backprop during vmap HOT 9
- Incompatibility of least_squares and custom_vjp HOT 2
- Extracting intermediate function values/ losses from the solve HOT 4
- Zero implicit gradients when using `ImplicitAdjoint` with CG solver HOT 4
- Would an exhaustive grid search have a place in `optimistix`? HOT 2
- Using `optimistix` with an `equinox` model HOT 2
- Incompatibility with jax 0.4.27 HOT 1
- Possibly of interest HOT 1
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