# this was run on server to generate the C so you don't have to # CLANG=1 GPU=1 python3 examples/compile_efficientnet.py | gzip > recognize.c.gz

# this runs an EfficientNet-B0 trained on ImageNet to classify the 1000 default categories. try it at home! curl https://tinygrad.org/recognize.c.gz | gunzip | clang -O2 -lm -x c - -o recognize && curl https://media.istockphoto.com/photos/hen-picture-id831791190 | DEBUG=1 ./recognize