Jetson Orin Nano
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks, March 28, 2024
jaxlib._jax.XlaRuntimeError: INTERNAL: jaxlib/gpu/linalg_kernels.cc:113: operation gpuGetLastError() failed: no kernel image is available for execution on the device
failed no kernel image is available jaxlib/gpu/linalg_kernels.cc:113 jetson orin nano
jetson-containers build failed jax 0.5.2
jay@jetson-ai:~$ history | grep “jetson-containers build”
1962 jetson-containers build python:3.12 cuda-python onnx cmake rust numpy pycuda jupyterlab llvm jax
opened 04:05PM - 12 Dec 25 UTC
closed 05:34PM - 04 Jan 26 UTC
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autobnn requirements.txt
https://github.com/tensorflow/probability/tree/main/spinoffs/autobnn
absl-py==2.2.2
arviz==0.21.0
asttokens==3.0.0
attrs==25.3.0
autobnn==0.0.2.dev0
bayeux-ml==0.1.15
blackjax==1.2.5
cachetools==5.5.2
chex==0.1.89
cloudpickle==3.1.1
colorama==0.4.6
comm==0.2.2
cons==0.4.6
contourpy==1.3.2
corner==2.2.3
cycler==0.12.1
debugpy==1.8.14
decorator==5.2.1
dm-tree==0.1.9
dotmap==1.3.30
equinox==0.12.1
etils==1.12.2
etuples==0.3.9
evosax==0.2.0
executing==2.2.0
fastprogress==1.0.3
filelock==3.18.0
flax==0.10.6
flowMC==0.3.4
fonttools==4.58.0
fsspec==2025.3.2
gast==0.6.0
h5netcdf==1.6.1
h5py==3.13.0
humanize==4.12.3
importlib_resources==6.5.2
ipykernel==6.29.5
ipython==8.37.0
ipython_pygments_lexers==1.1.1
jaxlib==0.5.1
jaxopt==0.8.5
jaxtyping==0.3.2
jedi==0.19.2
joblib==1.5.0
jupyter_client==8.6.3
jupyter_core==5.7.2
kiwisolver==1.4.8
lineax==0.0.8
logical-unification==0.4.6
markdown-it-py==3.0.0
matplotlib==3.10.3
matplotlib-inline==0.1.7
mdurl==0.1.2
miniKanren==1.0.3
ml_dtypes==0.5.1
msgpack==1.1.0
multipledispatch==1.0.0
nest-asyncio==1.6.0
numpy==2.2.5
numpyro==0.18.0
nutpie==0.14.3
opt_einsum==3.4.0
optax==0.2.4
optimistix==0.0.10
orbax-checkpoint==0.11.13
oryx==0.2.9
packaging==25.0
pandas==2.2.3
parso==0.8.4
pillow==11.2.1
platformdirs==4.3.8
prompt_toolkit==3.0.51
protobuf==6.30.2
psutil==7.0.0
pure_eval==0.2.3
pyarrow==20.0.0
Pygments==2.19.1
pymc==5.22.0
pytensor==2.30.3
python-dateutil==2.9.0.post0
pytz==2025.2
PyYAML==6.0.2
pyzmq==26.4.0
rich==14.0.0
scikit-learn==1.6.1
scipy==1.15.3
simplejson==3.20.1
six==1.17.0
stack-data==0.6.3
tensorflow-probability==0.25.0
tensorstore==0.1.74
threadpoolctl==3.6.0
toolz==1.0.0
tornado==6.4.2
tqdm==4.67.1
traitlets==5.14.3
treescope==0.1.9
typing_extensions==4.13.2
tzdata==2025.2
wadler_lindig==0.1.5
wcwidth==0.2.13
wrapt==1.17.2
xarray==2025.4.0
xarray-einstats==0.8.0
zipp==3.21.0
