dragonpilot - 基於 openpilot 的開源駕駛輔助系統
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from tinygrad import Tensor, dtypes
from tinygrad.engine.jit import TinyJit
from tinygrad.helpers import Timing, getenv
if __name__ == "__main__":
BS = getenv("BS", 2**14)
BLOCKSIZE = getenv("BLOCKSIZE", 4096)
HASHFN = getenv("HASHFN", "shake_128")
NRUNS = getenv("NRUNS", 5)
@TinyJit
def hasher(data: Tensor): return data.keccak(HASHFN)
t = Tensor.randn(BS, BLOCKSIZE, dtype=dtypes.uint8).realize()
ds_mib = t.nbytes() / 1024**2
print(f"--- benchmarking (hash: {HASHFN}, data size: {ds_mib} MiB, block size: {BLOCKSIZE} B, batch size: {BS})")
for i in range(NRUNS):
with Timing(f"run: {i+1}, elapsed time: ", (lambda et: f", throughput: {ds_mib / (et*1e-9):.2f} MiB/s")):
hasher(t).realize()