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vllm_omni.platforms.npu.profiler ¶

logger `module-attribute` ¶

logger = init_logger(__name__)

NPUTorchProfilerWrapper ¶

Bases: OmniTorchProfilerWrapper

NPU-specific profiler using torch_npu.profiler.

Key differences from base profiler: - Uses torch_npu.profiler instead of torch.profiler - Different experimental_config options (AiCMetrics, profiler_level, etc.) - Uses tensorboard_trace_handler for trace output - No key_averages() support - requires offline parsing with torch_npu.profiler.profiler.analyse()