runtime error

Exit code: 1. Reason: modules/__init__.py", line 35, in <module> from .transformer import TransformerEncoder, TransformerDecoder, \ File "/home/user/.pyenv/versions/3.9.21/lib/python3.9/site-packages/torch/nn/modules/transformer.py", line 20, in <module> device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), /home/user/.pyenv/versions/3.9.21/lib/python3.9/site-packages/torch/nn/modules/transformer.py:20: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:84.) device: torch.device = torch.device(torch._C._get_default_device()), # torch.device('cpu'), cudnn benchmark: True cudnn deterministic: False Base3DGenerator initialization. [Base3DGenerator] Expected input dimensions: 232 [Base3DGenerator] Expected viewdir input dimensions: 0 [Base3DGenerator] Expected sky input dimensions: 33 SceneDreamer[Hash] on ALL Scenes generator initialization. [ReducedLabelMapper] Loading from /home/user/app/imaginaire/model_utils/gancraft ['0: ignore', '1: sky', '2: tree', '3: dirt', '4: flower', '5: grass', '6: gravel', '7: water', '8: rock', '9: stone', '10: sand', '11: snow'] [ReducedLabelMapper] #Reduced Labels: 12 Traceback (most recent call last): File "/home/user/app/app.py", line 60, in <module> net_G = lib_G.Generator(cfg.gen, cfg.data) File "/home/user/app/imaginaire/generators/scenedreamer.py", line 51, in __init__ self.hash_encoder, self.hash_in_dim = get_encoder(encoding='hashgrid', input_dim=5, desired_resolution=2048 * 1, level_dim=8) File "/home/user/app/encoding.py", line 56, in get_encoder encoder = GridEncoder(input_dim=input_dim, num_levels=num_levels, level_dim=level_dim, base_resolution=base_resolution, log2_hashmap_size=log2_hashmap_size, desired_resolution=desired_resolution, gridtype='hash', align_corners=align_corners) File "/home/user/app/gridencoder/grid.py", line 123, in __init__ offsets = torch.from_numpy(np.array(offsets, dtype=np.int32)) RuntimeError: Numpy is not available

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