Pytorch has 9 transitive dependencies for cpu-only execution, or 29 to bring in cuda.

candle, the most popular rust ml library I found in a cursory search, has 119 for cpu only, and 150 to bring in CUDA.

I guess it's taste whether that's comparable

this would have been a way more satisfying dunk if nvidia hadn't split the cuda functionality needed by pytorch into 19 (!) packages on pypi but such is life.