SAC reinforcement learning error: Segmentation fault (core dumped)

smith1234567 — Mon, 21 Jul 2025 12:51:24 GMT

Hello:

My cpu is Ultra 9 285K and gpu is RTX4090;

This is my conda env :

Package Version Build
-------------------------- ----------------- -----
absl-py 2.3.0
ale-py 0.11.2
astar 0.99
attrs 22.2.0
AutoROM 0.6.1
AutoROM.accept-rom-license 0.6.1
boltons 25.0.0
Brotli 1.1.0
certifi 2025.7.14
cffi 1.17.1
charset-normalizer 3.4.2
click 8.1.8
cloudpickle 2.2.0
cmake 3.25.0
colorama 0.4.6
conda 23.9.1.dev0+dirty
conda-libmamba-solver 25.3.0
conda-package-handling 2.4.0
conda_package_streaming 0.12.0
contourpy 1.0.6
cryptography 45.0.5
cycler 0.11.0
Cython 3.1.2
dpctl 0.20.2 0
dpnp 0.18.1 0
exceptiongroup 1.1.1
Farama-Notifications 0.0.4
filelock 3.13.1
fonttools 4.38.0
fsspec 2024.6.1
grpcio 1.73.1
gym-notices 0.0.8
gymnasium 0.28.1
h2 4.2.0
hpack 4.1.0
hyperframe 6.1.0
idna 3.10
imageio 2.37.0
imageio-ffmpeg 0.4.8
importlib-metadata 4.13.0
importlib_resources 6.5.2
iniconfig 2.0.0
jax-jumpy 1.0.0
Jinja2 3.1.4
joblib 1.5.1
jsonpatch 1.33
jsonpointer 3.0.0
kiwisolver 1.4.4
lazy_loader 0.4
libmambapy 2.3.0
lit 15.0.7
llvmlite 0.44.0
Markdown 3.8.2
markdown-it-py 3.0.0
MarkupSafe 2.1.5
matplotlib 3.9.4
mdurl 0.1.2
mkl_fft 2.0.0
mkl_random 1.2.11
mkl-service 2.5.2
mkl_umath 0.2.0
mpmath 1.3.0
networkx 3.3
numba 0.61.2
numpy 2.2.5
nvidia-cublas-cu12 12.8.3.14
nvidia-cuda-cupti-cu12 12.8.57
nvidia-cuda-nvrtc-cu12 12.8.61
nvidia-cuda-runtime-cu12 12.8.57
nvidia-cudnn-cu12 9.7.1.26
nvidia-cufft-cu12 11.3.3.41
nvidia-cufile-cu12 1.13.0.11
nvidia-curand-cu12 10.3.9.55
nvidia-cusolver-cu12 11.7.2.55
nvidia-cusparse-cu12 12.5.7.53
nvidia-cusparselt-cu12 0.6.3
nvidia-nccl-cu12 2.26.2
nvidia-nvjitlink-cu12 12.8.61
nvidia-nvtx-cu12 12.8.55
opencv-python 4.11.0.86
opencv-python-headless 4.8.1.78
packaging 25.0
pandas 2.3.0
pillow 11.0.0
pip 25.1.1
pluggy 1.6.0
protobuf 6.31.1
psutil 7.0.0
pycosat 0.6.6
pycparser 2.22
pygame 2.6.1
pyglet 1.5.27
Pygments 2.19.2
pyOpenSSL 25.1.0
pyparsing 3.0.9
PySocks 1.7.1
pytest 7.2.2
python-dateutil 2.8.2
pytz 2022.6
PyWavelets 1.6.0
PyYAML 6.0.2
requests 2.32.4
rich 14.0.0
ruamel.yaml 0.17.40
ruamel.yaml.clib 0.2.8
scikit-image 0.24.0
scikit-learn 1.7.1
scipy 1.15.2
setuptools 80.9.0
Shimmy 0.2.1
six 1.16.0
SMP 0.1.4
sortedcontainers 2.4.0
stable-baselines3 2.0.0
sympy 1.13.3
tensorboard 2.19.0
tensorboard-data-server 0.7.2
threadpoolctl 3.6.0
tifffile 2024.8.30
tomli 2.2.1
toolz 1.0.0
torch 2.7.1+cu128
torchaudio 2.7.1+cu128
torchvision 0.22.1+cu128
tqdm 4.67.1
triton 3.3.1
tsp-solver2 0.4.1
typing_extensions 4.14.1
tzdata 2025.2
urllib3 2.5.0
Werkzeug 3.1.3
wheel 0.45.1
wincertstore 0.2
zipp 3.11.0
zstandard 0.23.0

Even though I am using the Intel-released Python 3.12 version, I still get an error. The error is as follows:

(idp) (base) smithadam@admin2024-MS-7E34:/data/smithadam/code/rl-cpp$ gdb /home/smithadam/miniforge3/envs/idp/bin/python3.12 /var/lib/apport/coredump/core._home_smithadam_miniforge3_envs_idp_bin_python3_12.1001.b89cf793-1786-4b5e-b419-f96114ca9547.764471.121848743
GNU gdb (Ubuntu 9.2-0ubuntu1~20.04.2) 9.2
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License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
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Reading symbols from /home/smithadam/miniforge3/envs/idp/bin/python3.12...

warning: core file may not match specified executable file.
[New LWP 764471]
[New LWP 764501]
[New LWP 764499]
[New LWP 764502]
[New LWP 764533]
[New LWP 764500]
[New LWP 764503]
[New LWP 764522]
[New LWP 764523]
[New LWP 764491]
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".

warning: Loadable section ".note.gnu.property" outside of ELF segments

warning: Loadable section ".note.gnu.property" outside of ELF segments
--Type <RET> for more, q to quit, c to continue without paging--
Core was generated by `python ./train_cuda.py --logdir ./result/20250721111'.
Program terminated with signal SIGSEGV, Segmentation fault.
#0 initialize_locals (tstate=<optimized out>, func=<optimized out>, localsplus=<optimized out>, args=<optimized out>, argcount=<optimized out>,
kwnames=<optimized out>) at /usr/local/src/conda/python-3.12.8/Python/ceval.c:1480
1480 /usr/local/src/conda/python-3.12.8/Python/ceval.c: 没有那个文件或目录.
[Current thread is 1 (Thread 0x7f722301d740 (LWP 764471))]
(gdb) bt full
#0 initialize_locals (tstate=<optimized out>, func=<optimized out>, localsplus=<optimized out>, args=<optimized out>, argcount=<optimized out>,
kwnames=<optimized out>) at /usr/local/src/conda/python-3.12.8/Python/ceval.c:1480
defcount = <optimized out>
m = <optimized out>
missing = <optimized out>
co = 0x7f711e39c570
total_args = <optimized out>
kwdict = <error reading variable kwdict (dwarf2_find_location_expression: Corrupted DWARF expression.)>
i = <optimized out>
j = <optimized out>
n = <optimized out>
#1 0x00007ffead59fc70 in ?? ()
No symbol table info available.
#2 0x00007f7125f28b76 in dispatcher_vectorcall ()
from /home/smithadam/miniforge3/envs/idp/lib/python3.12/site-packages/numpy/_core/_multiarray_umath.cpython-312-x86_64-linux-gnu.so
No symbol table info available.
Backtrace stopped: previous frame inner to this frame (corrupt stack?)

Has anyone encountered the same situation? Please give me some help, thank you.

topic SAC reinforcement learning error: Segmentation fault (core dumped) in Intel® oneAPI Math Kernel Library

SAC reinforcement learning error: Segmentation fault (core dumped)