On Jetson (Tegra) the integrated GPU is enumerated by NVML
(nvidia-l4t-nvml) and reports its name (e.g. "Orin (nvgpu)"), but the
per-metric NVML queries return NVML_ERROR_NOT_SUPPORTED, so the GPU
plugin only ever showed N/A for proc/mem/temperature.
Add a Tegra sysfs backend (glances/plugins/gpu/cards/tegra.py) and wire
it into the NVIDIA card as a per-metric fallback: when NVML returns None
for a device detected as Tegra (name contains "nvgpu", or the Tegra GPU
sysfs node exists), read:
- proc: /sys/devices/platform/gpu.0/load (per-mille -> percent)
- temperature: the gpu-thermal /sys/class/thermal zone (milli-C -> C)
Memory stays N/A by design: the Tegra GPU shares system RAM, already
reported by the MEM plugin. Scales verified against tegrastats
(GR3D_FREQ and gpu@).
Adds unit tests with committed sysfs fixtures, a NEWS.rst entry and a
docs note.
Verified on JetPack 6.2.1 (L4T R36.4.7) and JetPack 7.2 (L4T R39.2):
identical sysfs node layout and gpu-thermal zone selection on both, with
temperature cross-checked against tegrastats on each.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Add [mpp] section to conf/glances.conf with disable=True
- Add docs/aoa/mpp.rst documentation page and index entry
- Add unit test test_026_mpp with Rockchip MPP test fixtures
