runtime error

on3.10/site-packages/torchvision/models/detection/anchor_utils.py:63: UserWarning: Failed to initialize NumPy: _ARRAY_API not found (Triggered internally at ../torch/csrc/utils/tensor_numpy.cpp:68.) device: torch.device = torch.device("cpu"), Loading model from /home/user/.cache/huggingface/hub/models--lambdalabs--image-mixer/snapshots/77827fe0fda49e41e1dd62da4dab5841447afd71/image-mixer-pruned.ckpt Moving 0 files to the new cache system 0it [00:00, ?it/s] 0it [00:00, ?it/s] LatentDiffusion: Running in eps-prediction mode DiffusionWrapper has 859.52 M params. Keeping EMAs of 688. Traceback (most recent call last): File "/home/user/app/app.py", line 23, in <module> model = load_model_from_config(config, ckpt, device=device, verbose=False) File "/home/user/app/src/latent-diffusion/ldm/extras.py", line 67, in load_model_from_config model = instantiate_from_config(config.model) File "/home/user/app/src/latent-diffusion/ldm/util.py", line 79, in instantiate_from_config return get_obj_from_str(config["target"])(**config.get("params", dict())) File "/home/user/app/src/latent-diffusion/ldm/models/diffusion/ddpm.py", line 512, in __init__ super().__init__(conditioning_key=conditioning_key, *args, **kwargs) File "/home/user/app/src/latent-diffusion/ldm/models/diffusion/ddpm.py", line 112, in __init__ self.register_schedule(given_betas=given_betas, beta_schedule=beta_schedule, timesteps=timesteps, File "/home/user/app/src/latent-diffusion/ldm/models/diffusion/ddpm.py", line 561, in register_schedule super().register_schedule(given_betas, beta_schedule, timesteps, linear_start, linear_end, cosine_s) File "/home/user/app/src/latent-diffusion/ldm/models/diffusion/ddpm.py", line 131, in register_schedule betas = make_beta_schedule(beta_schedule, timesteps, linear_start=linear_start, linear_end=linear_end, File "/home/user/app/src/latent-diffusion/ldm/modules/diffusionmodules/util.py", line 43, in make_beta_schedule return betas.numpy() RuntimeError: Numpy is not available

Container logs: