Hello Ding,
Please see my reply here: viewtopic.php?f=7&t=71&start=10
Best,
Search found 20 matches
- Thu Aug 20, 2020 9:28 am
- Forum: Support
- Topic: How to process landsat 8 data with POLYMER-v4.13?
- Replies: 1
- Views: 2548
- Thu Aug 20, 2020 9:27 am
- Forum: Support
- Topic: how to run the polymer
- Replies: 13
- Views: 11658
Re: how to run the polymer
Dear Ding, It looks like the code was killed by the system because of a lack of available RAM. Please check with top the amount of RAM and swap consumed when you run Polymer. Try to close every possible running app too. If it’s still a no-go, you will probably need to use a more powerful computer (o...
- Fri Jul 17, 2020 1:48 pm
- Forum: Support
- Topic: install error linux centos7
- Replies: 30
- Views: 18834
Re: install error linux centos7
I must admit I’m a bit at loss here. I suppose your conda env was installed with the non standard gcc previously used.
Could you please try to create another conda env with CC=/usr/bin/gcc instead of a /opt one and then try to build polymer again in that new env ?
Thanks,
Could you please try to create another conda env with CC=/usr/bin/gcc instead of a /opt one and then try to build polymer again in that new env ?
Thanks,
- Thu Jul 16, 2020 9:01 am
- Forum: Support
- Topic: install error linux centos7
- Replies: 30
- Views: 18834
Re: install error linux centos7
It would probably work better if you were in the good path
According to your prompt, you’re at the root of your home ( ~ ), you should before
Best,
According to your prompt, you’re at the root of your home ( ~ ), you should
Code: Select all
cd ~/software/pythondepen/polymer-v4.13
Code: Select all
export CC=/usr/bin/gcc; make rebuild
- Wed Jul 15, 2020 9:39 am
- Forum: Support
- Topic: NVIDIA Quadro T2000 and SMARTG
- Replies: 2
- Views: 22853
Re: NVIDIA Quadro T2000 and SMARTG
Hello Jerome,
We do not use ray tracing cores that appeared in RTX 2k family. So your T2000 (GTX 1k family) should work without any problem.
Best,
We do not use ray tracing cores that appeared in RTX 2k family. So your T2000 (GTX 1k family) should work without any problem.
Best,
- Wed Jul 15, 2020 8:07 am
- Forum: Support
- Topic: install error linux centos7
- Replies: 30
- Views: 18834
Re: install error linux centos7
OK, some unusual configuration on your system it seems.
Can you please try:
Best,
Can you please try:
Code: Select all
export CC=/usr/bin/gcc; make rebuild
- Thu Jul 09, 2020 2:21 pm
- Forum: Support
- Topic: install error linux centos7
- Replies: 30
- Views: 18834
Re: install error linux centos7
Could you please give me the output of ll /usr/bin/gcc If it is a symlink pointing to /opt/modules/centos7/gcc/7.3.0/bin/gcc and you don’t have root access, please ask your system administrator to change default gcc so that system uses by default the system one (not one provided by devtoolset reposi...
- Wed Jul 08, 2020 9:01 am
- Forum: Support
- Topic: install error linux centos7
- Replies: 30
- Views: 18834
Re: install error linux centos7
Dear Binbin, Things I asked were not meant to solve the problem yet ;) Anyway, it looks like you’re using a non default gcc: /opt/modules/centos7/gcc/7.3.0/bin/gcc (coming from devtoolset probably ?) That may well be the cause. You probably lack of a glibc package corresponding to that particular ve...
- Fri Jul 03, 2020 7:04 am
- Forum: Support
- Topic: install error linux centos7
- Replies: 30
- Views: 18834
Re: install error linux centos7
Hello, It’s likely that you have something wrong when it comes to glibc. I would say you have glibc installed, but i686 version only. And code is being compiled as x86_64. What is strange is that you should have glibc x86_64 installed by default (which provides /lib64/libpthread.so.0). Unless of cou...
- Thu Feb 06, 2020 1:42 pm
- Forum: Support
- Topic: Compiling error having two nvidia cuda compatible graphic cards
- Replies: 3
- Views: 29362
Re: Compiling error having two nvidia cuda compatible graphic cards
Hi,
We will update README when next version is to be released. lukepfister pycuda version is indeed old. You can easy replace it with (you may have to uninstall lukepfister version first) which should do the trick.
HTH,
We will update README when next version is to be released. lukepfister pycuda version is indeed old. You can easy replace it with
Code: Select all
pip install pycuda
HTH,