[BE] [3/3] Rewrite super() calls in test (#94592)

Rewrite Python built-in class `super()` calls. Only non-semantic changes should be applied.

- #94587
- #94588
- #94592

Also, methods with only a `super()` call are removed:

```diff
class MyModule(nn.Module):
-   def __init__(self):
-       super().__init__()
-
    def forward(self, ...):
        ...
```

Some cases that change the semantics should be kept unchanged. E.g.:

f152a79be9/caffe2/python/net_printer.py (L184-L190)

f152a79be9/test/test_jit_fuser_te.py (L2628-L2635)

Pull Request resolved: https://github.com/pytorch/pytorch/pull/94592
Approved by: https://github.com/ezyang, https://github.com/seemethere

test/test_throughput_benchmark.py

@@ -7,7 +7,7 @@ from torch.testing._internal.common_utils import run_tests, TestCase, TemporaryF
 
 class TwoLayerNet(torch.jit.ScriptModule):
     def __init__(self, D_in, H, D_out):
-        super(TwoLayerNet, self).__init__()
+        super().__init__()
         self.linear1 = torch.nn.Linear(D_in, H)
         self.linear2 = torch.nn.Linear(2 * H, D_out)
 
@@ -21,7 +21,7 @@ class TwoLayerNet(torch.jit.ScriptModule):
 
 class TwoLayerNetModule(torch.nn.Module):
     def __init__(self, D_in, H, D_out):
-        super(TwoLayerNetModule, self).__init__()
+        super().__init__()
         self.linear1 = torch.nn.Linear(D_in, H)
         self.linear2 = torch.nn.Linear(2 * H, D_out)