============================================ Activated conda environment: depth-pro CUDA_HOME: /home/ywan0794/miniconda3/envs/depth-pro ============================================ === GPU Info === Wed May 13 02:11:06 2026 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 550.163.01 Driver Version: 550.163.01 CUDA Version: 12.4 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 NVIDIA H100 NVL Off | 00000000:E1:00.0 Off | 0 | | N/A 35C P0 60W / 400W | 14MiB / 95830MiB | 0% Default | | | | Disabled | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | 0 N/A N/A 4274 G /usr/lib/xorg/Xorg 4MiB | +-----------------------------------------------------------------------------------------+ /home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/cuda/__init__.py:180: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 12040). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at /pytorch/c10/cuda/CUDAFunctions.cpp:119.) return torch._C._cuda_getDeviceCount() > 0 CUDA: False ============================================ Starting MoGe Eval for Depth Pro at Wed May 13 02:11:09 AM AEST 2026 Repo: /home/ywan0794/EvalMDE/ml-depth-pro Checkpoint: /home/ywan0794/EvalMDE/ml-depth-pro/checkpoints/depth_pro.pt Config: /home/ywan0794/MoGe/configs/eval/sanity_benchmarks.json ============================================ Traceback (most recent call last): File "/home/ywan0794/MoGe/moge/scripts/eval_baseline.py", line 165, in main() File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/core.py", line 1514, in __call__ return self.main(*args, **kwargs) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/core.py", line 1435, in main rv = self.invoke(ctx) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/core.py", line 1298, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/core.py", line 853, in invoke return callback(*args, **kwargs) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/decorators.py", line 34, in new_func return f(get_current_context(), *args, **kwargs) File "/home/ywan0794/MoGe/moge/scripts/eval_baseline.py", line 42, in main baseline : MGEBaselineInterface = baseline_cls.load.main(ctx.args, standalone_mode=False) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/core.py", line 1435, in main rv = self.invoke(ctx) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/core.py", line 1298, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/click/core.py", line 853, in invoke return callback(*args, **kwargs) File "/home/ywan0794/MoGe/baselines/depth_pro.py", line 74, in load return Baseline(repo_path, checkpoint_path, precision, device) File "/home/ywan0794/MoGe/baselines/depth_pro.py", line 57, in __init__ model, _ = depth_pro.create_model_and_transforms(config=config, device=device, precision=precision_dtype) File "/home/ywan0794/EvalMDE/ml-depth-pro/src/depth_pro/depth_pro.py", line 120, in create_model_and_transforms ).to(device) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1384, in to return self._apply(convert) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply module._apply(fn) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply module._apply(fn) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/nn/modules/module.py", line 934, in _apply module._apply(fn) [Previous line repeated 1 more time] File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/nn/modules/module.py", line 965, in _apply param_applied = fn(param) File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1370, in convert return t.to( File "/home/ywan0794/miniconda3/envs/depth-pro/lib/python3.10/site-packages/torch/cuda/__init__.py", line 478, in _lazy_init torch._C._cuda_init() RuntimeError: The NVIDIA driver on your system is too old (found version 12040). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. ============================================ Evaluation completed at Wed May 13 02:11:24 AM AEST 2026 ============================================