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https://github.com/wassname/pytorch-lightning.git
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William Falcon
07c5d22ae3
* cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos * cleaning up demos
28 lines
565 B
Bash
Executable File
28 lines
565 B
Bash
Executable File
#!/bin/bash -l
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# SLURM SUBMIT SCRIPT
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#SBATCH --nodes=2
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#SBATCH --gres=gpu:2
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#SBATCH --ntasks-per-node=1
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#SBATCH --mem=0
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#SBATCH --time=0-02:00:00
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# activate conda env
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source activate $1
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# -------------------------
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# debugging flags (optional)
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export NCCL_DEBUG=INFO
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export PYTHONFAULTHANDLER=1
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# on your cluster you might need these:
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# set the network interface
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# export NCCL_SOCKET_IFNAME=^docker0,lo
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# might need the latest cuda
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# module load NCCL/2.4.7-1-cuda.10.0
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# -------------------------
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# run script from above
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srun python3 multi_node_ddp2_demo.py
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