Remove support for random aggregators in LinearUnderScalingProperty

- Remove seed resetting
- Remove LinearUnderScalingProperty from TestPCGrad and TestRGW

Author: ValerianRey

tests/unit/aggregation/_property_testers.py

@@ -102,14 +102,8 @@ def _assert_linear_under_scaling_property(
         alpha = torch.rand([])
         beta = torch.rand([])
 
-        seed = torch.seed()
-
         x1 = aggregator(torch.diag(c1) @ matrix)
-
-        torch.manual_seed(seed)
         x2 = aggregator(torch.diag(c2) @ matrix)
-
-        torch.manual_seed(seed)
         x = aggregator(torch.diag(alpha * c1 + beta * c2) @ matrix)
         expected = alpha * x1 + beta * x2
 

tests/unit/aggregation/test_pcgrad.py

@@ -7,11 +7,11 @@
 from torchjd.aggregation.sum import _SumWeighting
 from torchjd.aggregation.upgrad import _UPGradWrapper
 
-from ._property_testers import ExpectedStructureProperty, LinearUnderScalingProperty
+from ._property_testers import ExpectedStructureProperty
 
 
 @mark.parametrize("aggregator", [PCGrad()])
-class TestPCGrad(ExpectedStructureProperty, LinearUnderScalingProperty):
+class TestPCGrad(ExpectedStructureProperty):
     pass
 
 

tests/unit/aggregation/test_random.py

@@ -2,11 +2,11 @@
 
 from torchjd.aggregation import Random
 
-from ._property_testers import ExpectedStructureProperty, LinearUnderScalingProperty
+from ._property_testers import ExpectedStructureProperty
 
 
 @mark.parametrize("aggregator", [Random()])
-class TestRGW(ExpectedStructureProperty, LinearUnderScalingProperty):
+class TestRGW(ExpectedStructureProperty):
     pass