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                                            zhenhuaplan

关于不能支持python3的烦恼

希望支持脚本支持Python3.8以上

The locust chart shows that data is still being recorded after the timed run time expires

Good,But this seems to raise new questions,After I refresh the Locust web interface,No data is displayed on the statistics screen

Too slow in macbook with m3Pro cpu，why，just no any result after waiting for very long time. Can anybody tell me why?

> same here on an M2 Pro, i tried the changes from [@kiyokiku](https://github.com/kiyokiku) 's PR locally [#195](https://github.com/microsoft/OmniParser/pull/195) but same result :( Instead of using torch==2.4.0 and its dependencies, you can...

Add support for Apple Silicon (torch.mps)

Has anyone successfully used the GPU of the Apple M1 self-developed chip in the MacBook? I still can't use GPU acceleration properly here

Add support for Apple Silicon (torch.mps)

> @zhenhuaplan > > Could you run the following Python script and let me know the output? > > ``` > import torch > > print("torch.backends.mps:", torch.backends.mps.is_available()) > print("torch.mps:", torch.mps.is_available())...