Comments (4)
For instance, tree_l2_norm would currently give incorrect results on complex parameters.
jaxopt/jaxopt/_src/tree_util.py
Line 84 in eb6e75d
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+1 on fixing this, thanks for catching
from jaxopt.
I think this is an issue we should tackle soon because as you said this could fail silently. Do you want to tackle it?
from jaxopt.
Hey! Sorry, I was interning this summer and off of github. I'll start checking this out!
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Related Issues (20)
- OSQP solvers with fun set and no init_params have misleading error message HOT 8
- BoxOSQP does not work without equality constraints HOT 5
- Type precision issue in BoxOSQP HOT 10
- Garbage collection issues HOT 1
- Wrong failure diagnostic print outs from `ZoomLineSearch` under `vmap` HOT 3
- Attempted boolean conversion of traced array - for hager-zhang HOT 2
- Expression tree API like CVXPY HOT 3
- Unnecessary recompilation of _while_loop_lax HOT 8
- Add type annotations
- Consider switching to pyproject.toml
- OSQP crashing on unexpected params HOT 3
- `verbose=False` is not working as expected for `NonlinearCG` HOT 1
- Stochastic L-BFGS algorithm implementation
- Stopping condition 'madsen-nielsen' incorrect
- unit test failures on aarch64 linux with scipy 1.12
- `LevenbergMarquardt` implementation does not accept PyTree parameters
- diag(JTJ) can be more efficient
- JAXOPT Projected Gradient
- "invalid escape sequence" warning in `BoxOSQP` docstring
- Error when taking gradient wrt parameters in BoxOSQP
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