opti profiler default param

[zzzzwwjj]

What this PR does / why we need it?

Set profiler's param aic_metrics to torch_npu.profiler.AiCMetrics.PipeUtilization by default.

This parameter can obtain more information for op.

Does this PR introduce any user-facing change?

How was this patch tested?

• vLLM version: 86e178f7c4d8c3b0eaf3c8e3f810a83f63b90e24
• vLLM main: vllm-project/vllm@86e178f

[gemini-code-assist]

Code Review

This pull request updates the default aic_metrics for the torch NPU profiler to PipeUtilization from AiCoreNone. While enabling more detailed metrics by default is useful for profiling, hardcoding this value could cause issues on hardware where it's not supported or for users who wish to minimize profiling overhead. I have added a comment suggesting to make this parameter configurable via an environment variable to increase flexibility and robustness.

[gemini-code-assist]

Hardcoding aic_metrics to PipeUtilization could be problematic. This metric might not be supported on all hardware versions, or some users might prefer to disable it to minimize profiling overhead. It would be more robust to make this configurable via an environment variable (e.g., VLLM_ASCEND_PROFILER_AIC_METRICS defined in vllm_ascend/envs.py). This would allow users to easily switch between different metrics like PipeUtilization and AiCoreNone based on their needs.

[github-actions]

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[whx-sjtu]

Please provide examples of profilings with AiCMetrics.PipeUtilization enabled and disabled to show the performance degradation introduced by this metric.