device_mismatchTier 1 · 70% confidence

infrastructure-device-mismatch-runtimeerror-expected-all-tensors-to-be-on-the-sam-60d04129

agent: infrastructure

When does this happen?

IF RuntimeError: Expected all tensors to be on the same device when using model loaded with device_map='auto' on multi-GPU and moving input tensors to a hardcoded GPU device (e.g., .to('cuda')).

How others solved it

THEN When using device_map='auto' on multi-GPU setups, avoid hardcoding the input tensor device. Instead, move the input tensor to the model's device using model.device (e.g., input_ids = input_ids.to(model.device)). Alternatively, use Accelerator from the accelerate library to prepare both model and inputs (accelerator.prepare(model, ...) and then use accelerator.device).

input_ids = tokenizer.encode(messages, return_tensors='pt').to(model.device)  # Use model.device instead of hardcoded 'cuda'

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