Transformer에서 자주 쓰이는 LayerNorm + GELU(tanh 근사) forward 연산을 하나의 Triton 커널로 융합하고, PyTorch Eager / torch.compile / 직접 작성한 Triton 융합 커널의 속도·메모리를 비교 분석하는 프로젝트.
For NVIDIA GPUs, install the CUDA-enabled PyTorch wheel that matches your system from the PyTorch install page, then run: segcraft validate segcraft predict --preset cityscapes_video --local ...
Is Linux Kernel 7.2 really 43 million lines? We verified the count with wc, cloc, tokei, and scc tools and explain why the ...
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