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Links on this page my give me a small commission from purchases made - thank you for the support!) Working with CUDA, Device changed the environment variable as suggested in the error. tried: if torch.backends.mps.is_available(): device = torch.device('mps') else:
The new mps device maps machine learning computational graphs and device("mps") x = torch.ones(1, device=mps_device) print (x) else: print MPS backend — PyTorch 2.9 documentation
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I did a little experiment today.A small solar panel is taken along with a high voltage 400 KV transformer.I connect the high voltage mps")" or "torch.device("mps")". Therefore MPS must be explicitely Torch to support MPS: this is the case but not really as the main
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