Comments (3)
That HTTP error tells you that Caper server IP address (specified by --ip) is not configured correctly. It's localhost
by default. Get a hostname of Caper server and put it into your conf file.
If you qsub
ed Caper server like echo "caper server" | qsub
, then your caper server should be running on a compute node you need to take a hostname of that node.
ip=YOUR_CAPER_SERVER_HOSTNAME
If you ran Caper server on a login node then you don't need to specify --ip
.
Also, I don't think your parallel environment is configured correctly. dper730xd-srcf-d16-17
looks like a hostname of Caper server?
sge-pe=dper730xd-srcf-d16-17
from caper.
Thank you for the response. I understand that I shouldn't be using sge-pe. I will set the ip to the Hostname from my slurm job
from caper.
Yes sge-pe
is for SGE, not for SLURM. We already met in person and fixed this.
from caper.
Related Issues (20)
- caper init slurm not working HOT 6
- Newer cromwell versions HOT 2
- changes to sge_resource_param in config file don't make it through to backend.conf HOT 2
- Missing `engine` in gcs configuration HOT 1
- cromwell works, caper doesn't
- Relative paths to data files are not accessible by Singularity containers HOT 4
- Normalization
- Error when specifying --slurm-leader-job-resource-param HOT 1
- apptainer HOT 1
- LSF job parameter error HOT 3
- .caper_tmp slowly eating up space HOT 1
- caper halted
- Cannot run on lsf system, not sure if exit code 127 is the reason HOT 6
- Consider increasing minimum requirement of PyYAML to 6.0.1 HOT 2
- Caper conda forge
- Caper run with scatter runs out of memory HOT 2
- --slurm-extra-param: expected one argument HOT 1
- Setting $SINGULARITY_TMPDIR environment variable
- using slurm-extra-param and the leader job
- Compatibility Update for Caper with Google Batch Following Deprecation of Cloud Life Sciences
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from caper.