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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,35 @@ | ||
| #!/bin/bash | ||
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| for set in 1 2; | ||
| do | ||
| for o in SGD Adam; | ||
| do | ||
| for mo in base large; | ||
| do | ||
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| echo '##############################################################################################################' | ||
| echo ' NEW TRAINING' | ||
| echo '##############################################################################################################' | ||
| echo 'set ' $set , 'Opt' $o , batch 6, modeltype $mo | ||
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| rm -Rf wandb/ | ||
| rm -Rf /home/isajim/.local/share/wandb/ | ||
| rm -Rf /tmp/wandb/ | ||
| wandb artifact cache cleanup 1GB | ||
| TF_CPP_MIN_LOG_LEVEL=2 TF_ENABLE_ONEDNN_OPTS=0 WANDB_CACHE_DIR="/tmp/" python3 base_model_main_convNext.py --datasetDIR /opt/data/isa/proxemics/dataset/ --outModelsDIR /opt/data/isa/proxemics/models/ --modeltype $mo --b 6 --o $o --set $set --lr 0.01 | ||
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| rm -Rf wandb/ | ||
| rm -Rf /home/isajim/.local/share/wandb/ | ||
| rm -Rf /tmp/wandb/ | ||
| wandb artifact cache cleanup 1GB | ||
| TF_CPP_MIN_LOG_LEVEL=2 TF_ENABLE_ONEDNN_OPTS=0 WANDB_CACHE_DIR="/tmp/" python3 base_model_main_convNext.py --datasetDIR /opt/data/isa/proxemics/dataset/ --outModelsDIR /opt/data/isa/proxemics/models/ --modeltype $mo --b 6 --o $o --set $set --lr 0.01 --onlyPairRGB | ||
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| rm -Rf wandb/ | ||
| rm -Rf /home/isajim/.local/share/wandb/ | ||
| rm -Rf /tmp/wandb/ | ||
| wandb artifact cache cleanup 1GB | ||
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| done | ||
| done | ||
| done | ||
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,36 @@ | ||
| #!/bin/bash | ||
|
|
||
| for set in 1 2; | ||
| do | ||
| for o in Adam SGD; | ||
| do | ||
| for b in 6 8; | ||
| do | ||
| echo '##############################################################################################################' | ||
| echo ' NEW TRAINING' | ||
| echo '##############################################################################################################' | ||
| echo 'set ' $set , 'Opt' $o , batch $b | ||
|
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||
| rm -Rf wandb/ | ||
| rm -Rf /home/isajim/.local/share/wandb/ | ||
| rm -Rf /tmp/wandb/ | ||
| wandb artifact cache cleanup 1GB | ||
| TF_CPP_MIN_LOG_LEVEL=2 python3 base_model_main_ViT.py --datasetDIR /opt/data/isa/proxemics/dataset/ --outModelsDIR /pub/experiments/isajim/proxemics/models/ --b $b --o $o --set $set --lr 0.01 | ||
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| rm -Rf wandb/ | ||
| rm -Rf /home/isajim/.local/share/wandb/ | ||
| rm -Rf /tmp/wandb/ | ||
| wandb artifact cache cleanup 1GB | ||
| TF_CPP_MIN_LOG_LEVEL=2 python3 base_model_main_ViT.py --datasetDIR /opt/data/isa/proxemics/dataset/ --outModelsDIR /pub/experiments/isajim/proxemics/models/ --b $b --o $o --set $set --lr 0.01 --onlyPairRGB | ||
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| rm -Rf wandb/ | ||
| rm -Rf /home/isajim/.local/share/wandb/ | ||
| rm -Rf /tmp/wandb/ | ||
| wandb artifact cache cleanup 1GB | ||
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| done | ||
| done | ||
| done |
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