tinygrad/.gitignore

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__pycache__
.venv/
.vscode
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notebooks
.*.swp
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.*.swo
[WIP] YOLO working on tinygrad! (#245) * 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…
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*.pyc
*.so
build
dist
*.egg-info
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/env
a.out
2021-10-31 10:40:44 +08:00
boxes.jpg
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weights/*
2023-02-18 04:31:05 +08:00
pandecode.dump
vertex.bin
recognize*
.idea
2023-03-06 03:21:12 +08:00
disassemblers/applegpu
disassemblers/cuda_ioctl_sniffer
*.prof
2023-03-29 16:25:42 +08:00
datasets/cifar-10-python.tar.gz