fix(slurm): request zero GPUs when export falls back to GPU partition#915
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AdamRajfer wants to merge 1 commit into
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fix(slurm): request zero GPUs when export falls back to GPU partition#915AdamRajfer wants to merge 1 commit into
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PR #901 introduced `export_partition = cpu_partition or cfg.execution.partition`. When cpu_partition is null (existing configs), export falls back to execution.partition — typically a GPU partition like 'batch' — with no --gpus-per-node in the sbatch header, and schedulers that enforce GPU specification on non-CPU partitions reject the submission: sbatch: error: Cannot find GPU specification, you may not submit a job not requesting GPUs in a non-CPU partition, partition: batch The existing `--gpus 0` on the inner srun only applies to the step, not to the allocation. Declare `--gpus-per-node=0` at the sbatch level when falling back so the scheduler accepts an allocation with no GPUs. Signed-off-by: Adam Rajfer <arajfer@nvidia.com>
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PR #901 introduced
export_partition = cpu_partition or cfg.execution.partition. When cpu_partition is null (existing configs), export falls back to execution.partition — typically a GPU partition like 'batch' — with no --gpus-per-node in the sbatch header, and schedulers that enforce GPU specification on non-CPU partitions reject the submission:sbatch: error: Cannot find GPU specification, you may not submit a job
not requesting GPUs in a non-CPU partition, partition: batch
The existing
--gpus 0on the inner srun only applies to the step, not to the allocation. Declare--gpus-per-node=0at the sbatch level when falling back so the scheduler accepts an allocation with no GPUs.