Fix tests for GPUs lacking memory info from nvidia-smi

[drivanov]

The nvidia-smi does not report memory usage on certain newer GPU cards, likely due to changes in driver or hardware support:

+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 580.10.07              Driver Version: 580.10.07      CUDA Version: 13.0     |
+-----------------------------------------+------------------------+----------------------+
| 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 Graphics Device         On  |   0000000F:01:00.0 Off |                  N/A |
| N/A   29C    P8              2W /  N/A  | Not Supported          |      0%      Default |
|                                         |                        |                  N/A |
+-----------------------------------------+------------------------+----------------------+

+-----------------------------------------------------------------------------------------+
| Processes:                                                                              |
|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
|        ID   ID                                                               Usage      |
|=========================================================================================|
|  No running processes found                                                             |
+-----------------------------------------------------------------------------------------+

As a result, two PyG tests are now failing:

2025-07-29 10:39:11,273 - INFO - FAILED test/profile/test_profile.py::test_profileit_cuda - ValueError: invalid literal for int() with base 10: '[N/A]'
2025-07-29 10:39:11,273 - INFO - FAILED test/profile/test_profile_utils.py::test_get_gpu_memory_from_nvidia_smi - ValueError: invalid literal for int() with base 10: '[N/A]'

This PR addresses and fixes the issue.

[puririshi98]

please test that this work on A100, H100, and B100 and attach the logs. also please make ci green

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 85.83%. Comparing base (c211214) to head (f3e6c7e).
⚠️ Report is 79 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master   #10391      +/-   ##
==========================================
- Coverage   86.11%   85.83%   -0.28%     
==========================================
  Files         496      501       +5     
  Lines       33655    34454     +799     
==========================================
+ Hits        28981    29574     +593     
- Misses       4674     4880     +206     

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[drivanov]

Providing log files per @puririshi98’s request:
GeForce_RTX_5080.log.TXT
A100.log.TXT
digit.log.TXT
H100.log.TXT
B200.log.TXT

[drivanov]

Additionally, I fixed the following CI issues as requested by @puririshi98:

Run uv run --no-project mypy --cache-dir=/dev/null
error: --install-types failed (an error blocked analysis of which types to install)
torch_geometric/utils/smiles.py:151: error: Module has no attribute "DisableLog"  [attr-defined]
torch_geometric/datasets/qm9.py:205: error: Module has no attribute "DisableLog"  [attr-defined]
torch_geometric/datasets/git_mol_dataset.py:105: error: Module has no attribute "DisableLog"  [attr-defined]
Found 3 errors in 3 files (checked 642 source files)

[puririshi98]

lgtm thnx