add convert scalars to attrs pass in quantize tester stage

Summary: We are adding the pass to convert scalars to attrs into our quantize testing stage. This allows us to test end to end flow of models with quantized scalars

Reviewed By: jerryzh168

Differential Revision: D49850601

fbshipit-source-id: 450ad8c2654895589d4719efeebc5fe2805aef87

Author: mcr229

backends/xnnpack/test/tester/tester.py

@@ -36,7 +36,10 @@
     get_symmetric_quantization_config,
     XNNPACKQuantizer,
 )
-from torch.ao.quantization.quantizer.xnnpack_quantizer_utils import QuantizationConfig
+from torch.ao.quantization.quantizer.xnnpack_quantizer_utils import (
+    convert_scalars_to_attrs,
+    QuantizationConfig,
+)
 from torch.testing import FileCheck
 from torch.utils._pytree import tree_flatten
 
@@ -105,6 +108,7 @@ def run(
         self, artifact: torch.nn.Module, inputs: Optional[Tuple[torch.Tensor]]
     ) -> None:
         captured_graph = export.capture_pre_autograd_graph(artifact, inputs)
+        captured_graph = convert_scalars_to_attrs(captured_graph)
         prepared = prepare_pt2e(captured_graph, self.quantizer)
         converted = convert_pt2e(prepared)
         self.converted_graph = converted