Update on "Skip annotate boolean input"

Differential Revision: [D55946526](https://our.internmc.facebook.com/intern/diff/D55946526/)

[ghstack-poisoned]

Author: cccclai

backends/qualcomm/quantizer/utils.py

@@ -46,7 +46,11 @@ def _is_input_float_tensor(node: Node):
     """Check if the input is not a float tensor, so that we can skip quantization for the node
     since observers only works with float Tensors
     """
-    if not isinstance(node, Node) or "val" not in node.meta or not isinstance(node.meta["val"], FakeTensor):
+    if (
+        not isinstance(node, Node)
+        or "val" not in node.meta
+        or not isinstance(node.meta["val"], FakeTensor)
+    ):
         return False
     return node.meta["val"].dtype == torch.float32