[Jarvis][Nightly] address error in jarvis-nightly-operators-test-aten-leaky-relu-out

Pull Request resolved: #15495

https://docs.google.com/spreadsheets/d/12DsKcvPcGgxnZ8shgn6j8PmoOQUfy5GgUg974g1iO18/edit?gid=0#gid=0
ghstack-source-id: 320280758
@exported-using-ghexport

Differential Revision: [D85364558](https://our.internmc.facebook.com/intern/diff/D85364558/)

Author: Zonglin Peng

backends/cadence/utils/facto_util.py

@@ -392,6 +392,12 @@ def random_size_constraint(deps: object, r: int, d: int) -> int:
                 cp.Value.Le(lambda deps, dtype, struct: 2**2),
                 cp.Size.Le(lambda deps, r, d: 2**3),
             ]
+        case "leaky_relu.default":
+            tensor_constraints.extend(
+                [
+                    cp.Dtype.In(lambda deps: [torch.float32]),
+                ]
+            )
         case "_softmax.default":
             tensor_constraints.extend(
                 [
@@ -444,6 +450,14 @@ def facto_testcase_gen(  # noqa: C901
                 spec.inspec[index].constraints.extend(
                     [cp.Value.Ge(lambda deps, _: deps[1])]
                 )
+            elif in_spec.name == "negative_slope" and op_name == "leaky_relu.default":
+                # For leaky_relu, negative_slope should be in typical range (0, 1]
+                spec.inspec[index].constraints.extend(
+                    [
+                        cp.Value.Gt(lambda deps, dtype: 0),
+                        cp.Value.Le(lambda deps, dtype: 1.0),
+                    ]
+                )
             else:
                 spec.inspec[index].constraints.extend(
                     [