add convert scalars to attrs pass in quantize tester stage (#576)

Summary:
Pull Request resolved: #576

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: digantdesai, jerryzh168

Differential Revision: D49850601

fbshipit-source-id: f87be7e690a26828a1fb541600e2008c94912158

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