* fixed xmx demo
* i think i'm invoking the DPAS but it's slow
* compiler build arg to stop register spilling, indicated where to fix flop counter
* don't mind this
* do NOT mind me
* do not mind me
* do not view
* i will add bf16 later
* in process of figuring out tc fields
* we figured out the fields!!!
* added check for cl device vendor, added seperate IntelRenderer
* remove tc thread_local_aliases
* cleaning debris before draft pr
* edits for linter
* deduping and checking device extensions
* i will find more line reductions in other places
* before merge upstream
* double grf size in compiler to fix register spilling (bandaid), device checking changes
* tc python emulation
* fixed emulation
* tests for emulated intel tensor core
* TC=0, 1 working on upstream, fixed perf
* test
* debris
* check for specialized cl device when we canonicalize device
* bf16 support, tc=3 test added
* address tests
* revert half2 loads on intel tc, cleanup
* linter
* fold_expanded revert
* lint, whitespace fix
* cuda bf16 (only one with bf16) is skipped in test tensor cores, so i will skip for intel bf16 too
* make line shorter, no need for noqa E501
* removed device intel
* fix python emulation
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
as pointed out by #4877, need to add `__init__.py` to trigger pylint. fixed some errors except ops_python (will do in a separate pr, it has a lot of errors), and sub-folders in runtime
* compile raise CompileError and skip only RuntimeError in multiprocess beam
renderer error with multiprocess should not be skipped by beam
* use `==` for dtype to dtype comparison
* that needs to be is
* typo
* refactor ops_gpu ctypes
- remove redundant byref as ctypes automatically handles passing `type` as
`POINTER(type)`
- use walrus operator instead of init_c_var when possible
* clSetKernelArg argtype is POINTER(None)
* generic rendering of half and bf16
hotfix
* fix uops + regression test
* fix the test for metal's half4
* uop.uop fixup
* mypy with --strict-equality, fix ops_gpu
* move gpuctypes in tree
* fix mypy
* regex exclude
* autogen sh
* mypy exclude
* does that fix it
* fix mypy
* add hip confirm
* verify all autogens
* build clang2py
* opencl headers
* gpu on 22.04
* compile cache for several devices
* ops_gpu uses hash to not care about sql
* hip rdna test with device
* linter happy
* no device passed where possible
* arch is optional to compile_{hip|cuda}
* use device from LinearizerOptions in kernel search
removed all Device.DEFAULT in search.py
* pass device string for parallel pickle
* device for interpreted backends in LinearizerOptions
* ops_gpu is go
* fix size 0
* fix image, and add more tests
* nerf openpilot test, doesn't test thneed
* run the schedule
* better
* oops, new inputs
* delete pyopencl
* Update ops_gpu.py
