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eb7305e6a4
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com> Co-authored-by: George Hotz <geohot@gmail.com> Co-authored-by: wozeparrot <wozeparrot@gmail.com>
21 lines
727 B
Python
21 lines
727 B
Python
from tinygrad import Tensor, dtypes
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from tinygrad.engine.jit import TinyJit
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from tinygrad.helpers import Timing, getenv
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if __name__ == "__main__":
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BS = getenv("BS", 2**14)
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BLOCKSIZE = getenv("BLOCKSIZE", 4096)
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HASHFN = getenv("HASHFN", "shake_128")
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NRUNS = getenv("NRUNS", 5)
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@TinyJit
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def hasher(data: Tensor): return data.keccak(HASHFN)
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t = Tensor.randn(BS, BLOCKSIZE, dtype=dtypes.uint8).realize()
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ds_mib = t.nbytes() / 1024**2
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print(f"--- benchmarking (hash: {HASHFN}, data size: {ds_mib} MiB, block size: {BLOCKSIZE} B, batch size: {BS})")
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for i in range(NRUNS):
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with Timing(f"run: {i+1}, elapsed time: ", (lambda et: f", throughput: {ds_mib / (et*1e-9):.2f} MiB/s")):
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hasher(t).realize()
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