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https://github.com/saymrwulf/pytorch.git
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33 lines
564 B
Python
33 lines
564 B
Python
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import timeit
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import torch.fx
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from torch._inductor.codecache import FxGraphHashDetails
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N = 10000
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K = 100
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def huge_graph():
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def fn(x):
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for _ in range(N):
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x = x.sin()
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return x
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return torch.fx.symbolic_trace(fn)
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def main():
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g = huge_graph()
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details = FxGraphHashDetails(g, [], {}, [])
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def fn():
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return details.debug_lines()
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t = min(timeit.repeat(fn, number=K, repeat=3))
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print(f"iterating over {N * K} FX nodes took {t:.1f}s ({N * K / t:.0f} nodes/s)")
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if __name__ == "__main__":
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main()
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