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Commit 003526ad authored by Erick Lavoie's avatar Erick Lavoie
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Added experiments

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results/cifar10/rm-1-edge-unbiased-grad/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
20
'
LRS='
0.002
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --accuracy-logging-interval 10 --validation-set-ratio 0.5 --remove-clique-edges 1 --unbiased-gradient
done;
done;
results/cifar10/rm-1-edge/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
20
'
LRS='
0.002
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --accuracy-logging-interval 10 --validation-set-ratio 0.5 --remove-clique-edges 1
done;
done;
results/cifar10/rm-5-edges-unbiased-grad/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
20
'
LRS='
0.002
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --accuracy-logging-interval 10 --validation-set-ratio 0.5 --remove-clique-edges 5 --unbiased-gradient
done;
done;
results/cifar10/rm-5-edges/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
20
'
LRS='
0.002
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 1 1 1 1 1 1 1 1 1 1 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0.9 --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --single-process --nb-logging-processes 10 --dataset cifar10 --model gn-lenet --accuracy-logging-interval 10 --validation-set-ratio 0.5 --remove-clique-edges 5
done;
done;
results/mnist/rm-1-edge-unbiased-grad/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
128
'
LRS='
0.1
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0. --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --parallel-training --nb-workers 10 --dataset mnist --model linear --remove-clique-edges 1 --unbiased-gradient
done;
done;
results/mnist/rm-1-edge/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
128
'
LRS='
0.1
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0. --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --parallel-training --nb-workers 10 --dataset mnist --model linear --remove-clique-edges 1
done;
done;
results/mnist/rm-5-edges-unbiased-grad/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
128
'
LRS='
0.1
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0. --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --parallel-training --nb-workers 10 --dataset mnist --model linear --remove-clique-edges 5 --unbiased-gradient
done;
done;
results/mnist/rm-5-edges/experiments.sh 0 → 100755
+ 14
− 0
View file @ 003526ad
#!/usr/bin/env bash
TOOLS=../../../../learn-topology/tools; CWD="$(pwd)"; cd $TOOLS
BSZS='
128
'
LRS='
0.1
'
for BSZ in $BSZS;
do for LR in $LRS;
do python sgp-mnist.py --nb-nodes 100 --nb-epochs 100 --local-classes 1 --seed 1 --nodes-per-class 10 10 10 10 10 10 10 10 10 10 --global-train-ratios 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 0.802568 --dist-optimization d-psgd --topology fully-connected-cliques --metric dissimilarity --learning-momentum 0. --sync-per-mini-batch 1 --results-directory $CWD/all --learning-rate $LR --batch-size $BSZ "$@" --parallel-training --nb-workers 10 --dataset mnist --model linear --remove-clique-edges 5
done;
done;
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