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Re: [HTCondor-users] CUDA_VISIBLE_DEVICES not in the environment
- Date: Thu, 12 Dec 2019 16:20:03 +0000
- From: John M Knoeller <johnkn@xxxxxxxxxxx>
- Subject: Re: [HTCondor-users] CUDA_VISIBLE_DEVICES not in the environment
What GPUs are getting assigned to the slot?
condor_status -af Name AssignedGPUs
Does CUDA_VISIABLE_DEVICES get set in the environment when you don't use the job wrapper?
-tj
-----Original Message-----
From: HTCondor-users <htcondor-users-bounces@xxxxxxxxxxx> On Behalf Of Beyer, Christoph
Sent: Thursday, December 12, 2019 6:58 AM
To: htcondor-users <htcondor-users@xxxxxxxxxxx>
Subject: [HTCondor-users] CUDA_VISIBLE_DEVICES not in the environment
Hi,
I am struggling a bit with the parallel usage of GPUs as I mentioned earlier. As a matter of fact part of my problems result from
CUDA_VISIBLE_DEVICES not being set in the job environment
I use the gpu-feature which expands as expected to:
[root@batchg010 condor]# condor_config_val use feature:gpus
use FEATURE:GPUs is
MACHINE_RESOURCE_INVENTORY_GPUs=$(LIBEXEC)/condor_gpu_discovery -properties $(GPU_DISCOVERY_EXTRA)
ENVIRONMENT_FOR_AssignedGPUs=GPU_DEVICE_ORDINAL=/(CUDA|OCL)// CUDA_VISIBLE_DEVICES
ENVIRONMENT_VALUE_FOR_UnAssignedGPUs=10000
I am running a jobwrapper but also in the jobwrapper environment I do not see a sign of CUDA_VISIBLE_DEVICES being set, same thing in the environment once the job is running.
Subsequently I get all 4 GPUs in a single gpu-slot:
/usr/libexec/condor/condor_gpu_discovery
DetectedGPUs="CUDA0, CUDA1, CUDA2, CUDA3"
Is there an additional trick that I missed ?
This on
$CondorVersion: 8.9.1 Apr 17 2019 BuildID: 466671 PackageID: 8.9.1-1 $
--
Christoph Beyer
DESY Hamburg
IT-Department
Notkestr. 85
Building 02b, Room 009
22607 Hamburg
phone:+49-(0)40-8998-2317
mail: christoph.beyer@xxxxxxx
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