diff --git a/pina/label_tensor.py b/pina/label_tensor.py
index 08132a7..e903aa5 100644
--- a/pina/label_tensor.py
+++ b/pina/label_tensor.py
@@ -294,7 +294,7 @@ class LabelTensor(torch.Tensor):
             concatenate
         :param int dim: dimensions on which you want to perform the operation
             (default is 0)
-        :return: A new :class:`LabelTensor' instance obtained by concatenating 
+        :return: A new :class:`LabelTensor' instance obtained by concatenating
             the input instances, with the updated labels.
 
         :rtype: LabelTensor
@@ -346,7 +346,7 @@ class LabelTensor(torch.Tensor):
 
         :param list(LabelTensor) tensors: A list of tensors to stack.
             All tensors must have the same shape.
-        :return: A new :class:`LabelTensor` instance obtained by stacking the 
+        :return: A new :class:`LabelTensor` instance obtained by stacking the
             input tensors, with the updated labels.
         :rtype: LabelTensor
         """
@@ -368,7 +368,7 @@ class LabelTensor(torch.Tensor):
         :param bool mode: A boolean value indicating whether the tensor should
             track gradients.If `True`, the tensor will track gradients;
             if `False`, it will not.
-        :return: The :class:`LabelTensor` itself with the updated 
+        :return: The :class:`LabelTensor` itself with the updated
             `requires_grad` state and retained labels.
         :rtype: LabelTensor
         """
@@ -394,7 +394,7 @@ class LabelTensor(torch.Tensor):
         Performs Tensor dtype and/or device conversion. For more details, see
         :meth:`torch.Tensor.to`.
 
-        :return: A new :class:`LabelTensor` instance with the updated dtype 
+        :return: A new :class:`LabelTensor` instance with the updated dtype
             and/or device and retained labels.
         :rtype: LabelTensor
         """
@@ -408,7 +408,7 @@ class LabelTensor(torch.Tensor):
         Clone the :class:`LabelTensor`. For more details, see
         :meth:`torch.Tensor.clone`.
 
-        :return: A new :class:`LabelTensor` instance with the same data and 
+        :return: A new :class:`LabelTensor` instance with the same data and
             labels but allocated in a different memory location.
         :rtype: LabelTensor
         """
@@ -466,7 +466,7 @@ class LabelTensor(torch.Tensor):
         """
         Stack tensors vertically. For more details, see :meth:`torch.vstack`.
 
-        :param list(LabelTensor) label_tensors: The :class:`LabelTensor` 
+        :param list(LabelTensor) label_tensors: The :class:`LabelTensor`
             instances to stack. They need to have equal labels.
         :return: A new :class:`LabelTensor` instance obtained by stacking the
             input tensors vertically.
@@ -523,7 +523,7 @@ class LabelTensor(torch.Tensor):
 
     def __getitem__(self, index):
         """ "
-        Override the __getitem__ method to handle the labels of the 
+        Override the __getitem__ method to handle the labels of the
         :class:`LabelTensor` instance. It first performs __getitem__ operation
         on the :class:`torch.Tensor` part of the instance, then updates the
         labels based on the index.
@@ -666,7 +666,7 @@ class LabelTensor(torch.Tensor):
     def summation(tensors):
         """
         Computes the summation of a list of :class:`LabelTensor` instances.
-        
+
 
         :param list(LabelTensor) tensors: A list of tensors to sum. All tensors
             must have the same shape and labels.