mirror of
https://github.com/nicolargo/glances.git
synced 2026-07-30 14:56:19 -04:00
3107c6ac51
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>