train_3.2.1.sh

#bash
#0.00001, 0.0001, 0.001,
for id in {1..10..1}
  do
    for Nx in 10 12 14 16 18 20 #25 30 40 50 60 80 100 120 150
      do
        python run_3.2.1.py --Nx_EQs ${Nx}  --net_type "pinn"+$"$id" --epochs_adam 20000
        echo ${name}+$"$g"+"-"+$"$Nx"+" completed!"
      done
  done
#
for id in {1..10..1}
  do
    for g in  0.00001 0.0001 0.001
        do
          python run_3.2.1.py --Nx_EQs 20 --g_weight ${g}  --net_type "gpinn"+$"$g"+$"$id" --epochs_adam 20000
          echo ${name}+$"$g"+"-"+$"$Nx"+" completed!"
        done
  done


for id in {1..10..1}
  do
    for g in  0.01 0.1 1.0
      do
          for Nx in 10 12 14 16 18 20 # 25 30 40 50 60 80 100 120 150
            do
              python run_3.2.1.py --Nx_EQs ${Nx} --g_weight ${g}  --net_type "gpinn"+$"$g"+$"$id" --epochs_adam 20000
              echo ${name}+$"$g"+"-"+$"$Nx"+" completed!"
            done
      done
  done