fix quantized ic3/ic4/edsr examples

Summary:
The fix for quantized ic3/ic4/edsr requires runnign the pass

`convert_scalars_to_attrs` after capturing_pre_autograd_graph and before preparing and converting

We add using this pass in the examples to fix the quantized ic3/ic4/edsr

Differential Revision: D49850155

fbshipit-source-id: 7de6ddae4c702ce157963cd70fad898235afdbf8

Author: mcr229

examples/backend/xnnpack_examples.py

@@ -14,6 +14,9 @@
 from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
 from executorch.exir import EdgeCompileConfig
 from executorch.exir.backend.backend_api import to_backend
+from torch.ao.quantization.quantizer.xnnpack_quantizer_utils import (
+    convert_scalars_to_attrs,
+)
 
 from ..export.utils import export_to_edge, save_pte_program
 
@@ -77,6 +80,7 @@
 
     if args.quantize:
         logging.info("Quantizing Model...")
+        model = convert_scalars_to_attrs(model)
         model = quantize(model, example_inputs)
 
     edge = export_to_edge(