diff --git a/pina/solver/physics_informed_solver/pinn_interface.py b/pina/solver/physics_informed_solver/pinn_interface.py
index 9155e19ec..cd0e25d23 100644
--- a/pina/solver/physics_informed_solver/pinn_interface.py
+++ b/pina/solver/physics_informed_solver/pinn_interface.py
@@ -71,10 +71,8 @@ def setup(self, stage):
         """
         # Override the compilation, compiling only for torch < 2.8, see
         # related issue at https://github.com/mathLab/PINA/issues/621
-        if torch.__version__ < "2.8":
-            self.trainer.compile = True
-        else:
-            self.trainer.compile = False
+        if torch.__version__ >= "2.8":
+            self.trainer._compile = False
             warnings.warn(
                 "Compilation is disabled for torch >= 2.8. "
                 "Forcing compilation may cause runtime errors or instability.",
diff --git a/pina/solver/solver.py b/pina/solver/solver.py
index 6948ec664..442574224 100644
--- a/pina/solver/solver.py
+++ b/pina/solver/solver.py
@@ -174,11 +174,7 @@ def setup(self, stage):
         :return: The result of the parent class ``setup`` method.
         :rtype: Any
         """
-        if stage == "fit" and self.trainer.compile:
-            self._setup_compile()
-        if stage == "test" and (
-            self.trainer.compile and not self._is_compiled()
-        ):
+        if self.trainer.compile and not self._is_compiled():
             self._setup_compile()
         return super().setup(stage)
 
diff --git a/pina/trainer.py b/pina/trainer.py
index 78dd77adf..bb819905f 100644
--- a/pina/trainer.py
+++ b/pina/trainer.py
@@ -3,10 +3,15 @@
 import sys
 import torch
 import lightning
-from .utils import check_consistency
+import warnings
+from .utils import check_consistency, custom_warning_format
 from .data import PinaDataModule
 from .solver import SolverInterface, PINNInterface
 
+# set the warning for compile options
+warnings.formatwarning = custom_warning_format
+warnings.filterwarnings("always", category=UserWarning)
+
 
 class Trainer(lightning.pytorch.Trainer):
     """
@@ -49,7 +54,8 @@ def __init__(
         :param float val_size: The percentage of elements to include in the
             validation dataset. Default is ``0.0``.
         :param bool compile: If ``True``, the model is compiled before training.
-            Default is ``False``. For Windows users, it is always disabled.
+            Default is ``False``. For Windows users, it is always disabled. Not
+            supported for python version greater or equal than 3.14.
         :param bool repeat: Whether to repeat the dataset data in each
             condition during training. For further details, see the
             :class:`~pina.data.data_module.PinaDataModule` class. Default is
@@ -104,8 +110,20 @@ def __init__(
         super().__init__(**kwargs)
 
         # checking compilation and automatic batching
-        if compile is None or sys.platform == "win32":
-            compile = False
+        # compile disambled for windows and py>=3.14
+        compile = False
+        # if (
+        #     compile is None
+        #     or sys.platform == "win32"
+        #     or sys.version_info >= (3, 14)
+        # ):
+        #     compile = False
+        #     raise KeyError
+        #     warnings.warn(
+        #         "Compilation is disabled for Python 3.14+. "
+        #         "Compilation is also disabled for Windows 3.2.",
+        #         UserWarning,
+        #     )
 
         repeat = repeat if repeat is not None else False
 
@@ -114,7 +132,7 @@ def __init__(
         )
 
         # set attributes
-        self.compile = compile
+        self._compile = compile
         self.solver = solver
         self.batch_size = batch_size
         self._move_to_device()
@@ -325,3 +343,7 @@ def _check_consistency_and_set_defaults(
         if batch_size is not None:
             check_consistency(batch_size, int)
         return pin_memory, num_workers, shuffle, batch_size
+
+    @property
+    def compile(self):
+        return self._compile
\ No newline at end of file