dataset rain ISA

main_custom.py

@@ -11,7 +11,7 @@ from config_common import load_args
 from common_dataset import load_data
 from dataloader import load_data
 from loss import masked_cos_sim, distance, masked_spectral_angle
-from model_custom import Model_Common_Transformer, Model_Common_Transformer_TAPE
+from model_custom import Model_Common_Transformer
 from model import RT_pred_model_self_attention_multi
 
 
@@ -25,7 +25,6 @@ def train(model, data_train, epoch, optimizer, criterion_rt, criterion_intensity
     for param in model.parameters():
         param.requires_grad = True
     if forward == 'both':
-        print(data_train.dataset.data['Sequence'])
         for seq, charge, rt, intensity in data_train:
             rt, intensity = rt.float(), intensity.float()
             if torch.cuda.is_available():
@@ -201,7 +200,7 @@ def main(args):
         data_train, data_val, data_test = common_dataset.load_data(path_train=args.dataset_train,
                                                                    path_val=args.dataset_val,
                                                                    path_test=args.dataset_test,
-                                                                   batch_size=args.batch_size, length=25, pad = False, convert=True, vocab='iapuc')
+                                                                   batch_size=args.batch_size, length=25, pad = True, convert=True, vocab='iapuc')
     elif args.forward == 'rt':
         data_train, data_val, data_test = dataloader.load_data(data_sources=[args.dataset_train,args.dataset_val,args.dataset_test],
                                                                batch_size=args.batch_size, length=25)