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tokenizer = AutoTokenizer.from_pretrained(model_path)
model.eval()
model.eval().to(device)

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device_map value "auto" can't be used in tensor.to(device) or model.eval().to(device). Valid device values are cpu, cuda, ipu, xpu, mkldnn, opengl, opencl, ideep, hip, ve, fpga, ort, xla, lazy, vulkan, mps, meta, hpu, mtia, privateuseone.

prompt_postfix = "What is the pass key? The pass key is "
prompt = example["input"] + prompt_postfix
input_ids = tokenizer(prompt, return_tensors="pt").input_ids
input_ids = tokenizer(prompt, return_tensors="pt").input_ids.to(device)

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device_map value "auto" can't be used in tensor.to(device) or model.eval().to(device). Valid device values are cpu, cuda, ipu, xpu, mkldnn, opengl, opencl, ideep, hip, ve, fpga, ort, xla, lazy, vulkan, mps, meta, hpu, mtia, privateuseone.

print( "-----------------------------------\n" )

if torch.backends.mps.is_available():
torch.mps.empty_cache()

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Seems like a pytorch issue in pytorch/pytorch#105839 ?

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