python3-jetson-stats (jtop): upgrade 4.3.1 -> 7.2.0 - #211
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Python bindings for NVML (import name pynvml). Needed by jetson-stats 7.2.0. RRECOMMENDS tegra-libraries-nvml for the Jetson C library. Signed-off-by: Victor <victor.florea.jr@gmail.com>
JetPack 7 / L4T R39 support: Python 3.14 fork start-method fix,
3d_scaling handling for JP7 Orin, and R39.2 JetPack mapping.
Switch to python_setuptools_build_meta, PEP 625 sdist name, and
${datadir} install paths. Replace the old OE patches with a setup.py
strip that avoids host systemctl/groupadd during the build.
RDEPENDS on python3-nvidia-ml-py.
Signed-off-by: Victor <victor.florea.jr@gmail.com>
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yocto-check-layer runs world against qemux86, where tegra recipes are skipped. An ungated RRECOMMENDS made python3-nvidia-ml-py unbuildable there. Move the recommend to python3-jetson-stats, which already has COMPATIBLE_MACHINE = "(tegra)". Signed-off-by: Victor <victor.florea.jr@gmail.com>
madisongh
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Jul 31, 2026
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Thanks for this. See in-line for a different way to solve the layer check failure that should be more correct.
| inherit pypi setuptools3 | ||
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| RDEPENDS:${PN} += "python3-ctypes" | ||
| RRECOMMENDS:${PN} += "tegra-libraries-nvml" |
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This is likely to be a hard requirement, rather than a recommendation. Just make the additional dependency tegra-specific, and set a tegra-specific PACKAGE_ARCH:
RDEPENDS:${PN}:append:tegra = " tegra-libraries-nvml"
PACKAGE_ARCH:tegra = "${TEGRA_PKGARCH}"
| nv-tegra-release \ | ||
| " | ||
| RRECOMMENDS:${PN} += "kernel-module-nvgpu" | ||
| RRECOMMENDS:${PN} += "kernel-module-nvgpu tegra-libraries-nvml" |
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Updates jetson-stats for JetPack 7 / L4T R39, and adds the nvidia-ml-py
recipe it needs.
4.3.1 breaks in a few ways on L4T R39.2:
lambdas aren't picklable, so jtop.service crash-loops
JetPack field
7.2.0 already has the fork start-method fix, defaults/guards 3d_scaling
(and maps it to the devfreq governor on JP7 Orin), and knows R39.2 →
7.2 GA. On Orin it still uses the sysfs/devfreq path; NVML is mainly for
Thor.
Also adds python3-nvidia-ml-py 13.610.43 (pynvml). There is no OE recipe for it
yet. I kept it in this layer rather than meta-python so we don't grow a
cross-repo dependency for a package whose useful runtime on Jetson is
tegra-libraries-nvml. Happy to relocate later if preferred.
Tested on Jetson Orin Nano L4T R39.2