* runs one metal kernel
* conv2d works
* ops tests are passing
* const folding
* all ops work
* pre commit always passes
* torch works
* working still
* fix graph test
* tests passing
* image almost works
* image conv works
* most images
* fix custom
* fix assignment
* fix compile enet
* clean up comments
* fix realize return value
* include shapetracker in LB repr
* copy should make a copy
* reenable method cache
* fix lna
* dtypes in graph
* forward only for IMAGE=2
* simple realize
* getting close
* fixup new api, it's good except the kernel count
* back to 197 kernels
* tests should pass
* go to a real float
* no type_on_cpu
* fix the docs
* put shapetracker back in it's proper place
* ops_risk
* risk sim
* guessing is for winners
* minor
* better
* matmal with risk
* conv doesn't work
* closer
* conv2d works
* ops_risk
* opt2 works
* opt1 may not be possible
* opt1 is a mulacc
* arty
* attosoc example building on mac
* minor
* riscv assembler
* gucci gang
* we got C code
* not a scam
* hello
* make risk mergeable into master
* unop support
* 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…
