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device_mismatch
ai-agents-device-mismatch-when-using-barkprocessor-with-a-voice-preset-and-g-58a0a6ea
IFWhen using BarkProcessor with a voice_preset and generating audio on GPU, the history_prompt tensors remain on CPU causing a RuntimeError: Expected all tensors to be on the same device.
THENManually load the voice_preset from the npz file, create a dictionary with keys 'fine_prompt', 'coarse_prompt', 'semantic_prompt', then before calling inputs.to(device), explicitly move inputs['history_prompt'] to the target device with .to(device). This ensures all tensors are on the same device before generation.
Tier 170%
device_mismatch
infrastructure-device-mismatch-runtimeerror-expected-all-tensors-to-be-on-the-sam-60d04129
IFRuntimeError: 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')).
THENWhen 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).
Tier 170%
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