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run_dense.sh
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run_dense.sh
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#nohup python3 -u main_ts.py --config=configs/dense_ts_ettm1_forecast.yaml --gpu=0 --dmodel=16 > ~/results_forecasting_dense/1.txt 2>&1 &
nohup python3 -u main_ts.py --config=configs/dense_ts_elect_forecast.yaml --gpu=1 --dmodel=16 > ~/results_forecasting_dense/2.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_wth_forecast.yaml --gpu=2 --dmodel=16 > ~/results_forecasting_dense/3.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_ettm1_forecast.yaml --gpu=3 --dmodel=32 > ~/results_forecasting_dense/4.txt 2>&1 &
nohup python3 -u main_ts.py --config=configs/dense_ts_elect_forecast.yaml --gpu=4 --dmodel=32 > ~/results_forecasting_dense/5.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_wth_forecast.yaml --gpu=5 --dmodel=32 > ~/results_forecasting_dense/6.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_wth_forecast.yaml --gpu=6 --dmodel=64 > ~/results_forecasting_dense/7.txt 2>&1 &
nohup python3 -u main_ts.py --config=configs/dense_ts_elect_forecast.yaml --gpu=7 --dmodel=64 > ~/results_forecasting_dense/8.txt 2>&1 &
nohup python3 -u main_ts.py --config=configs/dense_ts_elect_forecast.yaml --gpu=0 --dmodel=128 > ~/results_forecasting_dense/9.txt 2>&1 &
nohup python3 -u main_ts.py --config=configs/dense_ts_elect_forecast.yaml --gpu=1 --dmodel=256 > ~/results_forecasting_dense/10.txt 2>&1 &
nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_insect.yaml --gpu=5 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=128 --evaluate > ~/evaluate/25.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_ettm1_forecast.yaml --gpu=3 --dmodel=128 > ~/results_forecasting_dense/11.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_elect_forecast.yaml --gpu=4 --dmodel=400 > ~/results_forecasting_dense/12.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_elect_forecast.yaml --gpu=5 --dmodel=450 > ~/results_forecasting_dense/13.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_wth_forecast.yaml --gpu=6 --dmodel=128 > ~/results_forecasting_dense/14.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/dense_ts_wth_forecast.yaml --gpu=7 --dmodel=256 > ~/results_forecasting_dense/15.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_arabic.yaml --gpu=2 --dmodel=8> ~/results_classification_dense/1.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_arabic.yaml --gpu=3 --dmodel=16> ~/results_classification_dense/2.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_arabic.yaml --gpu=4 --dmodel=32> ~/results_classification_dense/3.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_arabic.yaml --gpu=5 --dmodel=128> ~/results_classification_dense/20.txt 2>&1 &
These are done
nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_fd.yaml --gpu=5 --dmodel=16> ~/results_classification_dense/4.txt 2>&1 &
nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_fd.yaml --gpu=6 --dmodel=64> ~/results_classification_dense/5.txt 2>&1 &
nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_fd.yaml --gpu=0 --dmodel=32> ~/results_classification_dense/6.txt 2>&1 &
nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_fd.yaml --gpu=0 --dmodel=128> ~/results_classification_dense/6_new.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_japan.yaml --gpu=6 --dmodel=8> ~/results_classification_dense/25.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_japan.yaml --gpu=7 --dmodel=16> ~/results_classification_dense/26.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_japan.yaml --gpu=0 --dmodel=64> ~/results_classification_dense/27.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_hb.yaml --gpu=1 --epochs=64 --dmodel=8 --epochs=50> ~/results_classification_dense/7.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_hb.yaml --gpu=2 --epochs=64 --dmodel=16 --epochs=50> ~/results_classification_dense/8.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_hb.yaml --gpu=3 --epochs=64 --dmodel=32 --epochs=50> ~/results_classification_dense/9.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_hb.yaml --gpu=4 --epochs=64 --dmodel=64 --epochs=50> ~/results_classification_dense/21.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_hb.yaml --gpu=5 --epochs=64 --dmodel=128 --epochs=50> ~/results_classification_dense/22.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_insect.yaml --gpu=4 --dmodel=64> ~/results_classification_dense/10.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_insect.yaml --gpu=7 --dmodel=128> ~/results_classification_dense/11.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_insect.yaml --gpu=7 --dmodel=32> ~/results_classification_dense/12.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_insect.yaml --gpu=0 --dmodel=200> ~/results_classification_dense/23.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/dense_ts_classification_insect.yaml --gpu=1 --dmodel=400> ~/results_classification_dense/24.txt 2>&1 &
all sparse runs 1/30
ecl=350
weather=100
ett 64
#nohup python3 -u main_ts.py --config=configs/sparse_ts_ettm1_forecast.yaml --gpu=0 --dmodel=16 > ~/results_forecasting/1.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_elect_forecast.yaml --gpu=1 --dmodel=16 > ~/results_forecasting/2.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_wth_forecast.yaml --gpu=2 --dmodel=16 > ~/results_forecasting/3.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_ettm1_forecast.yaml --gpu=3 --dmodel=32 > ~/results_forecasting/4.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_elect_forecast.yaml --gpu=4 --dmodel=32 > ~/results_forecasting/5.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_wth_forecast.yaml --gpu=5 --dmodel=32 > ~/results_forecasting/6.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_wth_forecast.yaml --gpu=6 --dmodel=64 > ~/results_forecasting/7.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_elect_forecast.yaml --gpu=7 --dmodel=64 > ~/results_forecasting/8.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_elect_forecast.yaml --gpu=0 --dmodel=128 > ~/results_forecasting/9.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_elect_forecast.yaml --gpu=1 --dmodel=256 > ~/results_forecasting/10.txt 2>&1 &
These are running, along with all dense
#nohup python3 -u main_ts.py --config=configs/sparse_ts_ettm1_forecast.yaml --gpu=3 --dmodel=128 > ~/results_forecasting/11.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_elect_forecast.yaml --gpu=4 --dmodel=400 > ~/results_forecasting/12.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_elect_forecast.yaml --gpu=5 --dmodel=450 > ~/results_forecasting/13.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_arabic.yaml --gpu=3 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=16> ~/results_classification/2.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_wth_forecast.yaml --gpu=6 --dmodel=128 > ~/results_forecasting/14.txt 2>&1 &
#nohup python3 -u main_ts.py --config=configs/sparse_ts_wth_forecast.yaml --gpu=7 --dmodel=256 > ~/results_forecasting/15.txt 2>&1 &
arabic 64
fd 128
hb 64
insect 256
japan 32
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_arabic.yaml --gpu=2 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=8> ~/results_classification/1.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_arabic.yaml --gpu=3 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=16> ~/results_classification/2.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_arabic.yaml --gpu=4 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=32> ~/results_classification/3.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_arabic.yaml --gpu=5 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=128> ~/results_classification/1.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_fd.yaml --gpu=5 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=16> ~/results_classification/4.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_fd.yaml --gpu=6 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=64> ~/results_classification/5.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_fd.yaml --gpu=0 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=32> ~/results_classification/6.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_fd.yaml --gpu=0 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=128> ~/results_classification/6_new.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_hb.yaml --gpu=1 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --epochs=64 --dmodel=8 --epochs=50> ~/results_classification/7.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_hb.yaml --gpu=2 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --epochs=64 --dmodel=16 --epochs=50> ~/results_classification/8.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_hb.yaml --gpu=3 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --epochs=64 --dmodel=32 --epochs=50> ~/results_classification/9.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_hb.yaml --gpu=2 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --epochs=64 --dmodel=64 --epochs=50> ~/results_classification/9.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_hb.yaml --gpu=3 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --epochs=64 --dmodel=128 --epochs=50> ~/results_classification/7.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_insect.yaml --gpu=4 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=64> ~/results_classification/10.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_insect.yaml --gpu=7 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=128> ~/results_classification/11.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_insect.yaml --gpu=7 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=32> ~/results_classification/12.txt 2>&1 &
nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_insect.yaml --gpu=5 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=200> ~/results_classification/12.txt 2>&1 &
nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_insect.yaml --gpu=6 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=400> ~/results_classification/11.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_japan.yaml --gpu=6 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=8> ~/results_classification/13.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_japan.yaml --gpu=6 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=16> ~/results_classification/14.txt 2>&1 &
#nohup python3 -u main_ts_classification.py --config=configs/sparse_ts_classification_japan.yaml --gpu=6 --lin_prune_rate=0.5 --attention_prune_rate=0.5 --dmodel=64> ~/results_classification/14.txt 2>&1 &