quant params from static inputs

Differential Revision: https://internalfb.com/D49850149

fbshipit-source-id: 7add20e4367df6f51226975114ca22e57b9d4be5

Author: mcr229

backends/xnnpack/operators/quant_params.py

@@ -11,8 +11,9 @@
 import torch
 from executorch.backends.xnnpack.passes.tag_implicit_q_dq_pass import TagImplicitQDqPass
 from executorch.backends.xnnpack.utils.quant_utils import is_dequant, is_quant
-from executorch.backends.xnnpack.utils.utils import check_or_raise
+from executorch.backends.xnnpack.utils.utils import check_or_raise, is_param_node
 from executorch.exir.dialects._ops import ops as exir_ops
+from torch.export import ExportedProgram
 
 
 class QuantParams:
@@ -183,6 +184,11 @@ def from_inputs(cls, tensor_node: torch.fx.Node) -> Optional[QuantParams]:
         if is_dequant(tensor_node) and TagImplicitQDqPass.is_tagged_as_implicit_q_dq(
             tensor_node
         ):
+            dq_input = cast(torch.fx.Node, tensor_node.args[0])
+            if is_quant(dq_input):
+                q_input = cast(torch.fx.Node, dq_input.args[0])
+                if q_input.op == "placeholder":
+                    return cls.from_q_dq_node(dq_input)
             return cls.from_q_dq_node(tensor_node)
 
         return None