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: 5686325a49a965cc61723f8c626a9fd6ae89af2f

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