root_path_name=./dataset/
data_path_name=ETTh1.csv
model_id_name=ETTh1
data_name=ETTh1

# seq_len=104
# model_name=PatchTST
# model_name=Transformer
# model_name=Decoder_direct
model_name=Prefix_decoder
e_layers=0
d_layers=6

gpu_num=3

random_seed=2021
for seq_len in 336
do
for pred_len in 96
do
    python -u run_longExp.py \
      --random_seed $random_seed \
      --is_training 1 \
      --root_path $root_path_name \
      --data_path $data_path_name \
      --model_id $model_id_name'_'$seq_len'_'$pred_len \
      --model $model_name \
      --data $data_name \
      --features M \
      --seq_len $seq_len \
      --pred_len $pred_len \
      --e_layers $e_layers \
      --d_layers $d_layers \
      --factor 3 \
      --enc_in 7 \
      --dec_in 7 \
      --c_out 7 \
      --d_model 512 \
      --des 'Exp' \
      --itr 1 \
      --learning_rate 0.0003 \
      --train_epochs 20\
      --patch_len 16 \
      --stride 16 \
      --gpu $gpu_num \
      --batch_size 32 \
      --run_train --run_test \
      --norm layer
done
done