Remove padding value and padding token parameters from training configuration

Closes #96 (closed)

dan/manager/dataset.py

@@ -18,7 +18,6 @@ class DatasetManager:
     def __init__(self, params, device: str):
         self.params = params
         self.dataset_class = None
-        self.img_padding_value = params["config"]["padding_value"]
 
         self.my_collate_function = None
         # Whether data should be copied on GPU via https://pytorch.org/docs/stable/generated/torch.Tensor.pin_memory.html
@@ -224,13 +223,6 @@ class GenericDataset(Dataset):
         if self.load_in_memory:
             self.apply_preprocessing(params["config"]["preprocessings"])
 
-        self.padding_value = params["config"]["padding_value"]
-        if self.padding_value == "mean":
-            if self.mean is None:
-                _, _ = self.compute_std_mean()
-            self.padding_value = self.mean
-            self.params["config"]["padding_value"] = self.padding_value
-
         self.curriculum_config = None
 
     def __len__(self):