Related Issues (20)
- Support >2d model outputs for KFAC with type-2 Fisher
- Add `KFACInverseLinearOperator` class
- Unnecessary device transfer in `_postprocess` method HOT 3
- Verify that the order of the mini-batches is deterministic where it matters
- [BUG | KFAC] Changing device invalidates parameter mapping
- KFAC factors are twice as large as BackPACK's and ASDL's HOT 1
- Improve efficiency of MC Fisher
- Make less/no assumption about the data HOT 3
- [OPT] Remove `for` loop to compute `grad_outputs` in EF
- Support `BCEWithLogitsLoss`
- Add option for heuristic and exact damping to `KFACInverseLinearOperator`
- Potentially switch to or add option to use `cholesky_solve` instead of `cholesky_inverse` in `KFACInverseLinearOperator`
- Add `trace`, `det`, `logdet`, and `frobenius_norm` properties to `KFACLinearOperator`
- Numerical stability of `cholesky` in `KFACInverseLinearOperator`
- [ADD] `LSMRInverseLinearOperator`
- [BUG] Scaling of (KFAC) empirical/MC Fisher broken in some cases when using mean reduction for loss
- [BUG] `FisherMCLinearOperator` is off by a factor of `C` when using `MSELoss` or `BCEWithLogitsLoss` with mean reduction
- Add `state_dict` functionality to `KFACLinearOperator` and `KFACInverseLinearOperator`
- Implement EKFAC
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