new conditions

pina/condition/data_condition.py

@@ -0,0 +1,44 @@
+import torch
+
+from . import ConditionInterface
+from ..label_tensor import LabelTensor
+from ..graph import Graph
+from ..utils import check_consistency
+
+class DataConditionInterface(ConditionInterface):
+    """
+    Condition for data. This condition must be used every
+    time a Unsupervised Loss is needed in the Solver. The conditionalvariable
+    can be passed as extra-input when the model learns a conditional
+    distribution
+    """
+
+    __slots__ = ["data", "conditionalvariable"]
+
+    def __init__(self, data, conditionalvariable=None):
+        """
+        TODO
+        """
+        super().__init__()
+        self.data = data
+        self.conditionalvariable = conditionalvariable
+        self.condition_type = 'unsupervised'
+
+    @property
+    def data(self):
+        return self._data
+    
+    @data.setter
+    def data(self, value):
+        check_consistency(value, (LabelTensor, Graph, torch.Tensor))
+        self._data = value
+
+    @property
+    def conditionalvariable(self):
+        return self._conditionalvariable
+    
+    @data.setter
+    def conditionalvariable(self, value):
+        if value is not None:
+            check_consistency(value, (LabelTensor, Graph, torch.Tensor))
+        self._data = value