Commit 1119dd9f by zlj

change for test_all.sh

parent 63967227
......@@ -6,20 +6,20 @@ addr="192.168.1.107"
partition_params=("ours" )
#"metis" "ldg" "random")
#("ours" "metis" "ldg" "random")
partitions="12"
partitions="8"
node_per="4"
nnodes="3"
nnodes="2"
node_rank="0"
probability_params=("0.1")
sample_type_params=("boundery_recent_decay")
sample_type_params=("recent")
#sample_type_params=("recent" "boundery_recent_decay") #"boundery_recent_uniform")
#memory_type=("all_update" "p2p" "all_reduce" "historical" "local")
memory_type=("historical")
memory_type=("all_update")
#"historical")
#memory_type=("local" "all_update" "historical" "all_reduce")
shared_memory_ssim=("0.3")
#data_param=("WIKI" "REDDIT" "LASTFM" "WikiTalk")
data_param=("WIKI" "LASTFM" "WikiTalk")
data_param=("LASTFM" "WikiTalk" "StackOverflow" "GDELT")
#"GDELT")
#data_param=("WIKI" "REDDIT" "LASTFM" "DGraphFin" "WikiTalk" "StackOverflow")
#data_param=("WIKI" "REDDIT" "LASTFM" "WikiTalk" "StackOverflow")
......@@ -61,10 +61,10 @@ for data in "${data_param[@]}"; do
else
torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-"$partition"-0-"$mem"-"$sample".out &
wait
if [ "$partition" = "ours" ] && [ "$mem" != "all_local" ]; then
torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0.1 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-ours_shared-0.01-"$mem"-"$sample".out &
#if [ "$partition" = "ours" ] && [ "$mem" != "all_local" ]; then
# torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0.1 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-ours_shared-0.01-"$mem"-"$sample".out &
wait
fi
#fi
fi
done
else
......@@ -128,10 +128,10 @@ for data in "${data_param[@]}"; do
else
torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-"$partition"-0-"$mem"-"$sample".out &
wait
if [ "$partition" = "ours" ] && [ "$mem" != "all_local" ]; then
torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0.1 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-ours_shared-0.01-"$mem"-"$sample".out &
wait
fi
# if [ "$partition" = "ours" ] && [ "$mem" != "all_local" ]; then
# torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0.1 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-ours_shared-0.01-"$mem"-"$sample".out &
# wait
# fi
fi
done
else
......@@ -195,10 +195,10 @@ for data in "${data_param[@]}"; do
else
torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-"$partition"-0-"$mem"-"$sample".out &
wait
if [ "$partition" = "ours" ] && [ "$mem" != "all_local" ]; then
torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0.1 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-ours_shared-0.01-"$mem"-"$sample".out &
wait
fi
# if [ "$partition" = "ours" ] && [ "$mem" != "all_local" ]; then
# torchrun --nnodes "$nnodes" --node_rank "$node_rank" --nproc-per-node "$node_per" --master-addr "$addr" --master-port 9445 train_boundery.py --dataname "$data" --mode "$model" --partition "$partition" --topk 0.1 --sample_type "$sample" --memory_type "$mem" --seed "$seed" > all_"$seed"/"$data"/"$model"/"$partitions"-ours_shared-0.01-"$mem"-"$sample".out &
# wait
# fi
fi
done
else
......
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment