runtime error

Exit code: 1. Reason: [SPARSE] Backend: spconv, Attention: flash_attn [SPARSE][CONV] spconv algo: native [ATTENTION] Using backend: flash_attn Traceback (most recent call last): File "/home/user/app/app.py", line 235, in <module> pipeline = TrellisImageTo3DPipeline.from_pretrained("Stable-X/trellis-normal-v0-1") File "/home/user/app/trellis/pipelines/trellis_image_to_3d.py", line 56, in from_pretrained pipeline = super(TrellisImageTo3DPipeline, TrellisImageTo3DPipeline).from_pretrained(path) File "/home/user/app/trellis/pipelines/base.py", line 39, in from_pretrained _models = { File "/home/user/app/trellis/pipelines/base.py", line 40, in <dictcomp> k: models.from_pretrained(f"{path}/{v}") File "/home/user/app/trellis/models/__init__.py", line 59, in from_pretrained model = __getattr__(config['name'])(**config['args'], **kwargs) File "/home/user/app/trellis/models/structured_latent_vae/decoder_mesh.py", line 105, in __init__ self.mesh_extractor = SparseFeatures2Mesh(res=self.resolution*4, use_color=self.rep_config.get('use_color', False)) File "/home/user/app/trellis/representations/mesh/cube2mesh.py", line 100, in __init__ self.mesh_extractor = FlexiCubes(device=device) File "/home/user/app/trellis/representations/mesh/flexicube.py", line 21, in __init__ self.dmc_table = torch.tensor(dmc_table, dtype=torch.long, device=device, requires_grad=False) File "/usr/local/lib/python3.10/site-packages/torch/cuda/__init__.py", line 314, in _lazy_init torch._C._cuda_init() RuntimeError: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx

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