unified partitione for qs8 mv2

Differential Revision: D49116827

fbshipit-source-id: 81d0f8ee7761a083e961ca67598e8590d768692d

Author: mcr229

backends/xnnpack/test/models/mobilenet_v2.py

@@ -8,10 +8,7 @@
 
 import torch
 import torchvision.models as models
-from executorch.backends.xnnpack.partition.xnnpack_partitioner import (
-    XnnpackQuantizedPartitioner,
-)
-from executorch.backends.xnnpack.test.tester import Export, Partition, Tester
+from executorch.backends.xnnpack.test.tester import Export, Tester
 from executorch.exir import CaptureConfig
 from torchvision.models.mobilenetv2 import MobileNet_V2_Weights
 
@@ -59,7 +56,7 @@ def test_qs8_mv2(self):
             .export(Export(CaptureConfig(enable_aot=True)))
             .to_edge()
             .check(list(ops_after_quantization))
-            .partition(Partition(partitioner=XnnpackQuantizedPartitioner))
+            .partition()
             .check(["torch.ops.executorch_call_delegate"])
             .check_not(list(ops_after_quantization))
             .to_executorch()