Update limb_wavefield.py

limb_wavefield.py

@@ -14,23 +14,14 @@ import argparse
 torch.set_float32_matmul_precision("medium")
 def main(model_name):
     
-    if model_name == 'S2NO_big':
-        from S2NO_pretrain import S2NO_pretrain
-        model = S2NO_pretrain().cuda()
-        PATH = './S2NO/big/600k.ckpt'
-    if model_name == 'S2NO_small':
+    if model_name == 'S2NO':
         from S2NO_pretrain import S2NO_pretrain
         model = S2NO_pretrain(width = 20).cuda()
-        PATH = './S2NO/small/600k.ckpt'
-        # PATH = '/gpfs/share/home/2401112587/neuralFWI/NCBSO_ckpt/NCBSO_20width_mq_lr01_final/600k_model-epoch=007-val_loss=0.0856-val_loss_breast=0.0772-val_loss_arm=0.0773-val_loss_limb=0.1391.ckpt'
-    if model_name == 'FNO_big':
-        from FNO_pretrain import FNO_pretrain
-        model = FNO_pretrain(features_ = 40).cuda()
-        PATH = './FNO/big/600k.ckpt'
-    if model_name == 'FNO_small':
+        PATH = './S2NO/600k.ckpt'
+    if model_name == 'FNO':
         from FNO_pretrain import FNO_pretrain
         model = FNO_pretrain(features_ = 20).cuda()
-        PATH = './FNO/small/600k.ckpt'
+        PATH = './FNO/600k.ckpt'
     if model_name == 'UNet':
         from UNet_pretrain import UNet_pretrain
         model =UNet_pretrain().cuda()
@@ -147,8 +138,8 @@ if __name__ == '__main__':
     # 解析命令行参数
     parser = argparse.ArgumentParser(description='Run model inference with specified model.')
     parser.add_argument('--model_name', type=str, required=True, 
-                        choices=['S2NO_big', 'S2NO_small', 'FNO_big', 'FNO_small','UNet'],
-                        help='Name of the model to use (e.g., S2NO_small)')
+                        choices=['S2NO','FNO','UNet'],
+                        help='Name of the model to use (e.g., S2NO)')
     args = parser.parse_args()
     # 调用主函数
     main(args.model_name)