bypass add and addRelu that have inputs from non-dq nodes

Summary:
The QuantFusion pass in crashes when an add node's inputs aren't dequantize_per_tensor ops. QAT model produces exactly this pattern.
The dequants_inputs list ends up empty, and get_args_and_kwargs_add() indexes [0].

Differential Revision: D103949573

Author: Reza Sajadiany

backends/cadence/aot/quantizer/fusion_pass.py

@@ -620,6 +620,8 @@ def call(self, graph_module: fx.GraphModule) -> PassResult:  # noqa: C901
                     )
                     kwargs = {}
                     if isinstance(pattern, AddReluPatterns):
+                        if len(dequants_inputs) != 2:
+                            continue
                         # For AddReLU, we are fusing Add+ReLU.
                         # The quantized_add op performs requantization,
                         # so the relu is implicit in the output quant params.
@@ -633,6 +635,8 @@ def call(self, graph_module: fx.GraphModule) -> PassResult:  # noqa: C901
                             quant_node,
                         )
                     elif isinstance(pattern, AddPattern):
+                        if len(dequants_inputs) != 2:
+                            continue
                         args, kwargs = get_args_and_kwargs_add(
                             graph_module,
                             inputs_inputs,