_run_benchmark() — pytorch Function Reference
Architecture documentation for the _run_benchmark() function in benchmark.py from the pytorch codebase.
Entity Profile
Dependency Diagram
graph TD 3c2a3e40_c658_76b5_064a_c0466a2cbf0c["_run_benchmark()"] e6249888_6b0d_225b_6d21_91a095fe832b["run_benchmark()"] e6249888_6b0d_225b_6d21_91a095fe832b -->|calls| 3c2a3e40_c658_76b5_064a_c0466a2cbf0c 7720c5f4_4d99_dc08_206e_db4b625e9915["run_all_benchmarks()"] 7720c5f4_4d99_dc08_206e_db4b625e9915 -->|calls| 3c2a3e40_c658_76b5_064a_c0466a2cbf0c style 3c2a3e40_c658_76b5_064a_c0466a2cbf0c fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
benchmarks/dynamo/genai_layers/benchmark.py lines 59–70
def _run_benchmark(
benchmark_cls,
script_args,
):
benchmark = benchmark_cls(script_args)
benchmark.benchmark()
benchmark.report_geomean_speedup()
if script_args.print_benchmark_result:
print(f"Benchmarking results {benchmark.name}:")
print(benchmark.profiling_results)
if script_args.visualize:
benchmark.visualize()
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Frequently Asked Questions
What does _run_benchmark() do?
_run_benchmark() is a function in the pytorch codebase.
What calls _run_benchmark()?
_run_benchmark() is called by 2 function(s): run_all_benchmarks, run_benchmark.
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