MoGe / sanity_depth_pro_12091.log
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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
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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 <module>
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.
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Evaluation completed at Wed May 13 02:11:24 AM AEST 2026
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