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Before: ``` iterating over 100000000 FX nodes took 5.9s (16830686 nodes/s) ``` After: ``` iterating over 100000000 FX nodes took 5.0s (19937698 nodes/s) ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/121611 Approved by: https://github.com/oulgen
31 lines
466 B
Python
31 lines
466 B
Python
import timeit
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import torch.fx
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N = 100000
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K = 1000
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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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def fn():
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for n in g.graph.nodes:
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pass
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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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