* applying st
* tests pass
* minor cleanups
* torch too
* hack
* contiguous
* move mops
* contig in BN
* tests should pass
* make torch fast
* make zeros and ones contig by default
* no contig there
* fix padding with expanding
* might fix tests
* still doesn't fix bug, but should be there
* Revert "still doesn't fix bug, but should be there"
This reverts commit 8ea92f3e07.
* minor cleanups
* valid hacks
* valid hacks
* valid hacks
* new method
* new method
* handtune
* is gate load breaking?
* lint
ruff
less junk
new approach?
maybe this?
* Make it more clear
* Make it more clear
* Will deal with the linter later
* hack for linter
* subs the idx but dont touch the valid
* Updated the mod rules
* lint hack
* I believe bug fix lets see
* Mod Node left
* revert
* Maybe this wont break?
* revert
* implemented "handtuned garbage"
* revert and use VALIDHACKS
* Lets see the CI
* still broken?
* currently its jungle
* maybe this jungle ?
* This works for everything somehow
* Added test for symbolic
* lint
* final touch
* This still works
* lint
* midway clean
* less garbage
* lint
* final form
* Slow but working way
* lint and other stuff
* lint
* mypy
* Make sure CI test Openpilot valid checks
* test if CI break
* Convert back
* refactor
* refactor
* Managed to reduce openpilot time from 30 secs to 5 secs
* Refactor
* Substitute a node with variable
* flake8
* Comment and refactor
* More comprehensive mod
* refactor
* bug fix
* More shave off
* remove not sure part
* small helps
* got something working
* faster?
* faster yes
* cleanup
* cleanup
* cleanup
* Fix non jit
* Fix fp16 and some cleanup
* Fix fp16 and some cleanup
* cleanup
* similar to master
* cleanup
* add some contiguous
* remove second contig
* Revert "remove second contig"
This reverts commit fc164f7dca1ad75b1e466e4e45a05eca58b7e0e0.
* shm on osx
* can repro bug
* don't contig zeros and ones
* change reduceop heruistics
* add model ema and jit hack
* add ema eval
* have to create a duplicate eval function for jit
* remove manual seed
* 94% achieveable with normal eval
* ema is outputting the same results as normal
* fix ema bug
* ema achieves 94% with fix seed
* multigpu tested
* constant fold decay, fix jit, adjust message for multigpu
* pull SpeedyResNet out of train_cifar()
* patch to remove hack from stable_diffusion.py
* sorry linter
* realize after assign?
* float16 broken in llvmlite use float64 for now
* int32
* idiot forgot to change test array dtype
