Fix CPU-only import - #4504
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Aug 18, 2026
| @@ -96,4 +96,6 @@ | |||
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| def default_device() -> Device: | |||
| if not torch.cuda.is_available(): | |||
| return Device(gpu_id=0) | |||
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why is it gpu_id=0 instead of cpu?
| @@ -145,7 +145,7 @@ def _from_torch_device(cls, torch_dev: torch.device) -> Device: | |||
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| @classmethod | |||
| def _current_device(cls) -> Device: | |||
| dev_id = torch.cuda.current_device() | |||
| dev_id = torch.cuda.current_device() if torch.cuda.is_available() else 0 | |||
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Description
import torch_tensorrt currently fails on hosts without an NVIDIA driver because several CUDA queries run at import / def time with no torch.cuda.is_available() guard.
Guard is_tegra_platform(), default_device(), and Device._current_device() so the package imports cleanly on CPU-only machines. GPU paths are unchanged once a driver is present.
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