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Commit 7320f48d authored by Xuan Gu's avatar Xuan Gu
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Update 2 files

- /README.md
- /scripts/benchmark_single_node.sbatch
parent 78d00bdf
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...@@ -68,7 +68,7 @@ The input arguments are: ...@@ -68,7 +68,7 @@ The input arguments are:
We will average the benchmark performance over the iterations. The maximum usable (without a OOM error) batch size is 256 and 128 for single and multi-node, respectively. We will average the benchmark performance over the iterations. The maximum usable (without a OOM error) batch size is 256 and 128 for single and multi-node, respectively.
``` ```
cd cd Berzelius-nnU-Net-Benchmark && mkdir -p sbatch_out cd cd Berzelius-nnU-Net-Benchmark && mkdir -p sbatch_out
bash scripts/benchmark_sbatch_submit.sh 2 1 8 10 128 bash scripts/benchmark_sbatch_submit.sh 2 1 8 1 128
``` ```
### Results ### Results
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...@@ -10,10 +10,10 @@ ...@@ -10,10 +10,10 @@
# This version does not run on multi-node # This version does not run on multi-node
# For apptainer # For apptainer
rm -f results/benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_tf32_iteration${5}.json rm -f results/benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_tf32_iteration${5}.json
apptainer exec --nv -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_tf32_iteration${5}.json'" apptainer exec --nv --no-home -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_tf32_iteration${5}.json'"
rm -f results/benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_amp_iteration${5}.json rm -f results/benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_amp_iteration${5}.json
apptainer exec --nv -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --amp --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_amp_iteration${5}.json'" apptainer exec --nv --no-home -B ${PWD}/data:/data -B ${PWD}/results:/results nvidia_nnu-net_for_pytorch.sif bash -c "cd /workspace/nnunet_pyt && python scripts/benchmark.py --mode train --gpus ${3} --dim ${1} --batch_size ${4} --amp --logname='benchmark_dim${1}_nodes${2}_gpus${3}_batchsize${4}_amp_iteration${5}.json'"
###################22.11.0 ###################22.11.0
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