fix(utils): add GPU warm-up for profiling#62
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Motivation
The initial execution of
measure_modelcaptures significant overhead from CUDA context initialization and lazy kernel loading, resulting in heavily skewed profiling data, such asEmblayer metrics (e.g., observed 35000ms vs stable 550ms). This leads to inaccurate inputs for the AIOB simulator.Changes
utils/utils.pyto ensure the GPU is fully initialized before profiling.Impact
Eliminates cold-start outliers and improves profiling accuracy.
Verification (Environment: NVIDIA RTX 4090):