Add error checking to quickTuningGen solver.

Author: mirza-halilcevic

mlir/utils/performance/analysis/quickTuningGen.py

@@ -318,6 +318,8 @@ def find(self):
                 prob += pulp.lpSum([a[i][j] * x[j] for j in range(m)]) >= 1, f"Cover_problem_{i}"
 
             prob.solve(pulp.PULP_CBC_CMD(msg=0))
+            if prob.status != pulp.LpStatusOptimal:
+                raise ValueError(f"No optimal solution found for data type {data_type}")
 
             selected_configs = [perfconfigs[j] for j in range(m) if x[j].varValue == 1]