add trainers with 500 and 750 epochs

nnunetv2/training/nnUNetTrainer/variants/training_length/nnUNetTrainer_Xepochs.py

@@ -55,6 +55,20 @@ def __init__(self, plans: dict, configuration: str, fold: int, dataset_json: dic
         self.num_epochs = 250
 
 
+class nnUNetTrainer_500epochs(nnUNetTrainer):
+    def __init__(self, plans: dict, configuration: str, fold: int, dataset_json: dict, unpack_dataset: bool = True,
+                 device: torch.device = torch.device('cuda')):
+        super().__init__(plans, configuration, fold, dataset_json, unpack_dataset, device)
+        self.num_epochs = 500
+
+
+class nnUNetTrainer_750epochs(nnUNetTrainer):
+    def __init__(self, plans: dict, configuration: str, fold: int, dataset_json: dict, unpack_dataset: bool = True,
+                 device: torch.device = torch.device('cuda')):
+        super().__init__(plans, configuration, fold, dataset_json, unpack_dataset, device)
+        self.num_epochs = 750
+
+
 class nnUNetTrainer_2000epochs(nnUNetTrainer):
     def __init__(self, plans: dict, configuration: str, fold: int, dataset_json: dict, unpack_dataset: bool = True,
                  device: torch.device = torch.device('cuda')):