fixing trunk - autoquant test failure (#2363)

fixing autoquant bug  `

Summary:

tests started failing recently in pytorch nightly: https://github.com/pytorch/ao/actions/runs/15590189942/job/43907010550

There was an old requirement for dynamic quant to have a minimum size
greater than 16 but then after some pytorch changes it was no longer
necessary, now its back

Test Plan: python test/integration/test_integration.py -k
"test_autoquant_compile"

also see CI since i can't repro this error locally hopefully this
resolves the CI error

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Update test_integration.py

more fixes

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Author: HDCharles

test/integration/test_integration.py

@@ -1624,6 +1624,9 @@ def test_autoquant_compile(self, device, dtype, m1, m2, k, n):
         # Skip certain shapes on older PyTorch versions
         if (m1 == 1 or m2 == 1) and not TORCH_VERSION_AT_LEAST_2_5:
             self.skipTest(f"Shape {(m1, m2, k, n)} requires torch version > 2.4")
+        # TODO remove this once https://github.com/pytorch/pytorch/issues/155838 is resolved
+        if m1 == 1 or m2 == 1:
+            self.skipTest(f"Shape {(m1, m2, k, n)} is flaky, skipping")
         model = (
             torch.nn.Sequential(
                 torch.nn.ReLU(),