On the issue of pyFluent suddenly stopping in Linux environments.
Our customer faced one problem that pyFluent on Linux stopped suddenly.
But they can finish same data on Windows.
They checked followinfgs;
- AMD and Intel CPU & Intel-MPI(2012&2018)-> same
- 1 core and multi-cores -> same
- Checking with Top, the status is "S". (usually R).
I have no idea what is causing this and would like advice on where to start.
Could anyone advise me?
Their environment of Linux;
- [***1 PyF_Test]$ cat /etc/os-release
- NAME="Red Hat Enterprise Linux"
- VERSION="9.0 (Plow)"
- ID="rhel"
- ID_LIKE="fedora"
- VERSION_ID="9.0"
- PLATFORM_ID="platform:el9"
- PRETTY_NAME="Red Hat Enterprise Linux 9.0 (Plow)"
- ANSI_COLOR="0;31"
- LOGO="fedora-logo-icon"
- CPE_NAME="cpe:/o:redhat:enterprise_linux:9::baseos"
- HOME_URL="https://www.redhat.com/"
- DOCUMENTATION_URL="https://access.redhat.com/documentation/red_hat_enterprise_linux/9/"
- BUG_REPORT_URL="https://bugzilla.redhat.com/"
- REDHAT_BUGZILLA_PRODUCT="Red Hat Enterprise Linux 9"
- REDHAT_BUGZILLA_PRODUCT_VERSION=9.0
- REDHAT_SUPPORT_PRODUCT="Red Hat Enterprise Linux"
- REDHAT_SUPPORT_PRODUCT_VERSION="9.0"
Their installed pyAnsys packages;* [*** PyF_Test]$ /home/t130044/python/python3918_2/bin/python3.9 -V
- Python 3.9.18
- [*** PyF_Test]$ /home/t130044/python/python3918_2/bin/pip3.9 list
- Package Version
- ------------------------------------- ------------
- ansys-api-fluent 0.3.18
- ansys-api-platform-instancemanagement 1.0.0
- ansys-fluent-core 0.17.1
- ansys-fluent-parametric 0.8.1
- ansys-platform-instancemanagement 1.1.2
- certifi 2023.11.17
- charset-normalizer 3.3.2
- docker 6.1.3
- grpcio 1.59.3
- grpcio-health-checking 1.48.2
- h5py 3.10.0
- idna 3.4
- importlib-metadata 6.8.0
- lxml 4.9.3
- numpy 1.26.2
- packaging 23.2
- pandas 2.1.3
- pip 23.3.1
- platformdirs 4.0.0
- protobuf 3.20.3
- psutil 5.9.6
- PySocks 1.7.1
- python-dateutil 2.8.2
- pytz 2023.3.post1
- PyYAML 6.0.1
- requests 2.31.0
- setuptools 58.1.0
- six 1.16.0
- tzdata 2023.3
- urllib3 2.1.0
- websocket-client 1.6.4
- zipp 3.17.0
Answers
-
@Ryan OConnor or @Sean Pearson might have some light to shed here?
0 -
Thanks @Chris Harrold
There was some email correspondence on this topic with the submitter:
The issue looks to be similar to https://github.com/ansys/pyfluent/issues/1628 for which a potential fix was merged in the latest PyFluent release v0.19.2. Can you please test this with the latest PyFluent release?
0 -
Thanks experts,
I have send your suggestion that our customer try to test release 0.19.2 once.
Best regards,
Isao Arimoto0