diff --git a/src/graphnet/models/task/task.py b/src/graphnet/models/task/task.py
index 604fc601b..b09f8fb93 100644
--- a/src/graphnet/models/task/task.py
+++ b/src/graphnet/models/task/task.py
@@ -8,7 +8,7 @@
 
 import torch
 from torch import Tensor
-from torch.nn import Linear
+from torch.nn import Linear, Identity
 from torch_geometric.data import Data
 
 if TYPE_CHECKING:
@@ -235,6 +235,7 @@ def __init__(
         self,
         hidden_size: int,
         loss_function: "LossFunction",
+        disable_affine: bool = False,
         **task_kwargs: Any,
     ):
         """Construct `LearnedTask`.
@@ -244,18 +245,23 @@ def __init__(
                          the last latent layer of `Model` using this Task.
                          Available through `Model.nb_outputs`
             loss_function: Loss function appropriate to the task.
+            disable_affine: Disable linear layer mapping from hidden layer size
+                            to number of inputs.
         """
         # Base class constructor
         super().__init__(**task_kwargs)
 
         # Mapping from last hidden layer to required size of input
         self._loss_function = loss_function
-        self._affine = Linear(hidden_size, self.nb_inputs)
+        self._disable_affine = disable_affine
+
+        if self._disable_affine:
+            self._affine = Identity()
+        else:
+            self._affine = Linear(hidden_size, self.nb_inputs)
 
     @abstractmethod
-    def _forward(  # type: ignore
-        self, x: Union[Tensor, Data]
-    ) -> Union[Tensor, Data]:
+    def _forward(self, x: Union[Tensor, Data]) -> Union[Tensor, Data]:
         """Syntax like `.forward`, for implentation in inheriting classes."""
         raise NotImplementedError
 
@@ -272,9 +278,7 @@ def nb_inputs(self) -> int:
         """Return number of inputs assumed by task."""
 
     @final
-    def forward(  # type: ignore
-        self, x: Union[Tensor, Data]
-    ) -> Union[Tensor, Data]:
+    def forward(self, x: Union[Tensor, Data]) -> Union[Tensor, Data]:
         """Forward call for `LearnedTask`.
 
         The learned embedding transforms last latent layer of Model to meet