[Streamline] cover NN resampling for MoveScalarLinearPastInvariants

src/finn/transformation/streamline/reorder.py

@@ -594,11 +594,17 @@ class MoveScalarLinearPastInvariants(Transformation):
         nodes = [n for n in graph.node]
         for n in nodes:
             node_ind += 1
+            is_nearest_neighbor_resample = False
+            if n.op_type == "Upsample" or n.op_type == "Resize":
+                # Extract mode and scales and input shape
+                mode = get_by_name(n.attribute, "mode").s.decode("ascii")
+                is_nearest_neighbor_resample = mode == "nearest"
             if (
                 n.op_type == "GlobalAveragePool"
                 or n.op_type == "Reshape"
                 or n.op_type == "Transpose"
                 or n.op_type == "Flatten"
+                or is_nearest_neighbor_resample
             ):
                 in0 = n.input[0]
                 if in0 is None: