move equation attributes to correct device

pina/equation/equation.py

@@ -1,7 +1,7 @@
 """Module for the Equation."""
 
 import inspect
-
+import torch
 from .equation_interface import EquationInterface
 
 
@@ -49,6 +49,10 @@ class Equation(EquationInterface):
         :raises RuntimeError: If the underlying equation signature length is not
             2 (direct problem) or 3 (inverse problem).
         """
+        # Move the equation to the input_ device
+        self.to(input_.device)
+
+        # Call the underlying equation based on its signature length
         if self.__len_sig == 2:
             return self.__equation(input_, output_)
         if self.__len_sig == 3:
@@ -57,3 +61,33 @@ class Equation(EquationInterface):
             f"Unexpected number of arguments in equation: {self.__len_sig}. "
             "Expected either 2 (direct problem) or 3 (inverse problem)."
         )
+
+    def to(self, device):
+        """
+        Move all tensor attributes of the Equation to the specified device.
+
+        :param torch.device device: The target device to move the tensors to.
+        :return: The Equation instance moved to the specified device.
+        :rtype: Equation
+        """
+        # Iterate over all attributes of the Equation
+        for key, val in self.__dict__.items():
+
+            # Move tensors in dictionaries to the specified device
+            if isinstance(val, dict):
+                self.__dict__[key] = {
+                    k: v.to(device) if torch.is_tensor(v) else v
+                    for k, v in val.items()
+                }
+
+            # Move tensors in lists to the specified device
+            elif isinstance(val, list):
+                self.__dict__[key] = [
+                    v.to(device) if torch.is_tensor(v) else v for v in val
+                ]
+
+            # Move tensor attributes to the specified device
+            elif torch.is_tensor(val):
+                self.__dict__[key] = val.to(device)
+
+        return self