supervised working

pina/condition/input_output_condition.py

@@ -1,35 +0,0 @@
-
-from . import ConditionInterface
-
-class InputOutputCondition(ConditionInterface):
-    """
-    Condition for input/output data.
-    """
-
-    __slots__ = ["input_points", "output_points"]
-
-    def __init__(self, input_points, output_points):
-        """
-        Constructor for the `InputOutputCondition` class.
-        """
-        super().__init__()
-        self.input_points = input_points
-        self.output_points = output_points
-
-    def residual(self, model):
-        """
-        Compute the residual of the condition.
-        """
-        return self.batch_residual(model, self.input_points, self.output_points)
-
-    @staticmethod
-    def batch_residual(model, input_points, output_points):
-        """
-        Compute the residual of the condition for a single batch. Input and
-        output points are provided as arguments.
-
-        :param torch.nn.Module model: The model to evaluate the condition.
-        :param torch.Tensor input_points: The input points.
-        :param torch.Tensor output_points: The output points.
-        """
-        return output_points - model(input_points)