47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
from pathlib import Path
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def _arch_flags() -> list[str]:
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import torch
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if torch.cuda.is_available():
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cap = torch.cuda.get_device_capability()
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else:
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cap = (8, 0)
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ver = f"{cap[0]}{cap[1]}"
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flags = [f"-gencode=arch=compute_{ver},code=sm_{ver}"]
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# tensor-core mma path (mma.sync.m16n8k16.bf16) requires sm_80+; decide the
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# kernel dispatch at build time via this define rather than at runtime.
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if cap[0] < 8:
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flags.append("-DASTRAI_NO_MMA")
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return flags
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_kernels_dir = Path("csrc/kernels")
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REGISTRY: dict[str, dict] = {}
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CXX_FLAGS = ["-O3", "-march=native", "-funroll-loops"]
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NVCC_FLAGS = [
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"-O3",
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"--expt-relaxed-constexpr",
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"--use_fast_math",
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"--ptxas-options=-O3,-v",
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"--extra-device-vectorization",
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]
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def register(name: str, sources: list[str] | None = None, **kwargs):
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if sources is None:
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sources = [str(_kernels_dir / f"{name}.cu")]
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REGISTRY[name] = {
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"sources": sources,
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"cxx_flags": [*CXX_FLAGS],
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"nvcc_flags": [*NVCC_FLAGS, *_arch_flags()],
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"extra_link_args": kwargs.pop("extra_link_args", []),
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**kwargs,
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}
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register("attn_decode")
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register("attn_prefill")
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