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maybe_mark_step() — pytorch Function Reference

Architecture documentation for the maybe_mark_step() function in common.py from the pytorch codebase.

Function python DynamoBenchmarks Microbenchmarking called by 2

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Dependency Diagram

graph TD
  cea445e5_003e_b07a_0de9_43b0801fe53a["maybe_mark_step()"]
  f5d4c5a3_21f5_4ed1_f582_7d73c454a4d7["latency_experiment()"]
  f5d4c5a3_21f5_4ed1_f582_7d73c454a4d7 -->|calls| cea445e5_003e_b07a_0de9_43b0801fe53a
  04a3a4a6_8db3_854d_a893_02c9542bf9dd["speedup_experiment()"]
  04a3a4a6_8db3_854d_a893_02c9542bf9dd -->|calls| cea445e5_003e_b07a_0de9_43b0801fe53a
  style cea445e5_003e_b07a_0de9_43b0801fe53a fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

benchmarks/dynamo/common.py lines 890–892

def maybe_mark_step(args):
    if args.trace_on_xla:
        xm.mark_step()

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Frequently Asked Questions

What does maybe_mark_step() do?
maybe_mark_step() is a function in the pytorch codebase.
What calls maybe_mark_step()?
maybe_mark_step() is called by 2 function(s): latency_experiment, speedup_experiment.

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