add mean to g3 nightly

Summary:
titled

expect loss in some cases

Differential Revision: D68845592

Author: zonglinpeng

examples/cadence/operators/facto_util.py

@@ -11,6 +11,7 @@
 from facto.inputgen.utils.random_manager import random_manager
 from facto.inputgen.variable.type import ScalarDtype
 from facto.specdb.db import SpecDictDB
+import facto.specdb.function as fn
 
 # seed to generate identical cases every run to reproduce from bisect
 random_manager.seed(1729)
@@ -86,8 +87,27 @@ def facto_testcase_gen(op_name: str) -> List[Tuple[List[str], OrderedDict[str, s
                         cp.Value.Le(lambda deps, dtype: 2),
                     ]
                 )
+        elif in_spec.type.is_scalar_type():
+            spec.inspec[index].constraints.extend(
+                [
+                    cp.Dtype.In(lambda deps: apply_scalar_contraints(op_name)),
+                ]
+            )
         elif in_spec.type.is_tensor():
             spec.inspec[index].constraints.extend(tensor_constraints)
+        elif in_spec.type.is_dim_list():
+            spec.inspec[index].constraints.extend(
+                [
+                    cp.Length.Ge(lambda deps: 1),
+                    cp.Optional.Eq(lambda deps: False),
+                ]
+            )
+        elif in_spec.type.is_bool():
+            spec.inspec[index].constraints.extend(
+                [
+                    cp.Dtype.In(lambda deps: [torch.bool]),
+                ]
+            )
 
     return [
         (posargs, inkwargs)