* start clang backend
* mostly working
* no group for reduce w clang
* it compiles
* compiles
* a11y
* minor fixups
* formatting
* add a test
* rename test
* mypy fun
* things are just faster
* running fast
* mypy is fast
* compile.sh
* no gpu hack
* refactor ops_cpu and ops_torch to not subclass
* make weak buffer work
* tensor works
* fix test failing
* cpu/torch cleanups
* no or operator on dict in python 3.8
* that was junk
* fix warnings
* comment and touchup
* Some progress on yolov3
* Removed some debugging comments… Also, the forward pass eats all RAM for some reason
* forward pass almost runs
* forward pass runs almost
* forward pass runs, now we gotta load the weights
* loading weights works
* fetches config and weights
* everything kind of works, postprocessing of output still needs to be implemented, temp_process_results kind of works, but its kind of terrible, and not how things should be done
* some changes
* fixed some bugs in the forward pass and load_weights function, now outputs more correct values, however some values are still loaded incorrectly
* Something is wrong with the forward pass, Conv2d tests added
* forward pass almost outputs correct values, gotta fix one more thign
* yolo works
* some final changes
* reverting changes
* removed dataloader
* fixed some indentation
* comment out failing test, somehow it fails CI even though it passes on my computer…
* fixed wrong probabilities
* added webcam option to YOLO, now just need to add bounding boxes and speed it up
* some progress towards adding bounding boxes
* trying to speed up yolo layer on GPU, still faster on CPU but with 30GB ram usage
* Faster inference times, bounding boxes added correctly, webcam works, but is slow, and there is a memory leak when running on CPU... Also added tinygrads output on the classic dog image
* removed some debugging print statements
* updated result image
* something weird is going on, mean op on GPU tensor randomly faults, copying a tensor from GPU->CPU takes 10+ seconds…
* ane query is success
* cite and build instructions
* low level access, need to disable AMFI
* coreml_ane works
* coreml fun
* more work
* compiled example
* progress
* compiler works
* model flow
* TODOs in the readme
* put some real weights in
* we are learning objc
* much progress i think
* signed model still doesn't work
* working example
* there are float16
* clean up: part 1
* h11ane header, more cleanup
* cleanup DeviceController creation
* remove the stupid sleep
* notes
* start a hwx parser
* no tabs
* compare stuff
* hmm, why don't inputs work
* cache doesn't seem to fix it
* hmm, the issue was the compiler
* fix the compiler, guess i didn't put in weights
* logging for compiler
* uselessness in plist
* remove hwx before compile, weights are converted to float16
* better compare
* better compare
* last line in comparE
* opcodes from compiler
* notes
