whisperx.DiarizationPipeline load long time

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Recently, I used whisperx.DiarizationPipeline(use_auth_token=hf_token, device='cuda') , and it took a long time to load, longer than you can imagine. At the same time, I used the speaker-diarization-3.1 example on huggingface: Pipeline.from_pretrained("pyannote/speaker-diarization-3.1",use_auth_token="TOKEN"), and found the same problem, 8 cores cpu use 800%, this is the problem I ran on the RTX4090 server, the CPU uses AuthenticAMD.
I checked related issues and didn't know if it was a CPU compatibility issue or a pyannote version issue. Finally, after upgrading pyannote.audio==3.1.1 to pyannote.audio==3.3.2, the loading time became normal, but it still felt longer than the previous test. The CPU usage was still very high, but the previous warning reports were almost gone.