Added experiment files for IID vs non-IID figures

results/mnist/fully-connected/iid/experiments.sh

+#!/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 10 --seed 1 --nodes-per-class 100 100 100 100 100 100 100 100 100 100 --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 --metric random --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
+    done;
+done;
+

results/mnist/grid/iid/experiments.sh

+#!/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 10 --seed 1 --nodes-per-class 100 100 100 100 100 100 100 100 100 100 --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 grid --metric random --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
+    done;
+done;
+

results/mnist/grid/non-iid/experiments.sh

+#!/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 grid --metric random --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
+    done;
+done;
+

results/mnist/ring/iid/experiments.sh

+#!/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 10 --seed 1 --nodes-per-class 100 100 100 100 100 100 100 100 100 100 --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 ring --metric random --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
+    done;
+done;
+

results/mnist/ring/non-iid/experiments.sh

+#!/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 ring --metric random --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
+    done;
+done;
+