runtime error

Exit code: 1. Reason: B_64l8m256c_fp16.json: 100%|██████████| 372/372 [00:00<00:00, 2.60MB/s] ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp(…): 0%| | 0.00/182M [00:00<?, ?B/s] ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp(…): 63%|██████▎ | 115M/182M [00:01<00:00, 95.8MB/s] ckpts/slat_dec_mesh_swin8_B_64l8m256c_fp(…): 100%|██████████| 182M/182M [00:01<00:00, 136MB/s] Traceback (most recent call last): File "/home/user/app/app.py", line 433, in <module> pipeline = TrellisVGGTTo3DPipeline.from_pretrained("esther11/trellis-vggt-v0-2") File "/home/user/app/trellis/pipelines/trellis_image_to_3d.py", line 1039, in from_pretrained pipeline = super(TrellisVGGTTo3DPipeline, TrellisVGGTTo3DPipeline).from_pretrained(path) File "/home/user/app/trellis/pipelines/trellis_image_to_3d.py", line 185, in from_pretrained pipeline = super(TrellisImageTo3DPipeline, TrellisImageTo3DPipeline).from_pretrained(path) File "/home/user/app/trellis/pipelines/base.py", line 48, in from_pretrained _models = { File "/home/user/app/trellis/pipelines/base.py", line 49, in <dictcomp> k: models.from_pretrained(f"{path}/{v}") File "/home/user/app/trellis/models/__init__.py", line 60, in from_pretrained model = __getattr__(config['name'])(**config['args'], **kwargs) File "/home/user/app/trellis/models/structured_latent_vae/decoder_mesh.py", line 115, 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 191, 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: No CUDA GPUs are available

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