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Fix missing multiproc in example training script

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This commit is contained in:
Andrzej Sulecki 2021-03-22 11:42:01 +01:00
parent 957ec5f622
commit b946389828
28 changed files with 28 additions and 28 deletions
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2
PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP/DGX1V_resnet50_AMP_250E.sh
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python ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP/DGX1V_resnet50_AMP_90E.sh
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python ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP/DGX2V_resnet50_AMP_250E.sh
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python ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX2V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX2V /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP/DGX2V_resnet50_AMP_90E.sh
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python ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX2V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGX2V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP/DGXA100_resnet50_AMP_250E.sh
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python ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/AMP/DGXA100_resnet50_AMP_90E.sh
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python ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision AMP --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/FP32/DGX1V_resnet50_FP32_250E.sh
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python ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/FP32/DGX1V_resnet50_FP32_90E.sh
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python ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/FP32/DGX2V_resnet50_FP32_250E.sh
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python ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX2V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX2V /imagenet --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/FP32/DGX2V_resnet50_FP32_90E.sh
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python ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX2V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision FP32 --mode convergence --platform DGX2V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/TF32/DGXA100_resnet50_TF32_250E.sh
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python ./launch.py --model resnet50 --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnet50v1.5/training/TF32/DGXA100_resnet50_TF32_90E.sh
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python ./launch.py --model resnet50 --precision TF32 --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnet50 --precision TF32 --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/resnext101-32x4d/training/AMP/DGX1V_resnext101-32x4d_AMP_250E.sh
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python ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnext101-32x4d/training/AMP/DGX1V_resnext101-32x4d_AMP_90E.sh
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python ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnext101-32x4d/training/AMP/DGXA100_resnext101-32x4d_AMP_250E.sh
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python ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnext101-32x4d/training/AMP/DGXA100_resnext101-32x4d_AMP_90E.sh
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python ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnext101-32x4d/training/FP32/DGX1V_resnext101-32x4d_FP32_250E.sh
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python ./launch.py --model resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnext101-32x4d/training/FP32/DGX1V_resnext101-32x4d_FP32_90E.sh
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python ./launch.py --model resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnext101-32x4d/training/TF32/DGXA100_resnext101-32x4d_TF32_250E.sh
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python ./launch.py --model resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/resnext101-32x4d/training/TF32/DGXA100_resnext101-32x4d_TF32_90E.sh
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python ./launch.py --model resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/AMP/DGX1V_se-resnext101-32x4d_AMP_250E.sh
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python ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/AMP/DGX1V_se-resnext101-32x4d_AMP_90E.sh
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python ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/AMP/DGXA100_se-resnext101-32x4d_AMP_250E.sh
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python ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/AMP/DGXA100_se-resnext101-32x4d_AMP_90E.sh
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python ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision AMP --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/FP32/DGX1V_se-resnext101-32x4d_FP32_250E.sh
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python ./launch.py --model se-resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --workspace ${1:-./} --raport-file raport.json

2
PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/FP32/DGX1V_se-resnext101-32x4d_FP32_90E.sh
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python ./launch.py --model se-resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision FP32 --mode convergence --platform DGX1V /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/TF32/DGXA100_se-resnext101-32x4d_TF32_250E.sh
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python ./launch.py --model se-resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --workspace ${1:-./} --raport-file raport.json

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PyTorch/Classification/ConvNets/se-resnext101-32x4d/training/TF32/DGXA100_se-resnext101-32x4d_TF32_90E.sh
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python ./launch.py --model se-resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json
python ./multiproc.py --nproc_per_node 8 ./launch.py --model se-resnext101-32x4d --precision TF32 --mode convergence --platform DGXA100 /imagenet --epochs 90 --mixup 0.0 --workspace ${1:-./} --raport-file raport.json