Move aot-autograd opt after model metadata used to setup data config in benchmark.py

benchmark.py

@@ -229,14 +229,14 @@ class BenchmarkRunner:
         if torchscript:
             self.model = torch.jit.script(self.model)
             self.scripted = True
-        if aot_autograd:
-            assert has_functorch, "functorch is needed for --aot-autograd"
-            self.model = memory_efficient_fusion(self.model)
-
         data_config = resolve_data_config(kwargs, model=self.model, use_test_size=not use_train_size)
         self.input_size = data_config['input_size']
         self.batch_size = kwargs.pop('batch_size', 256)
 
+        if aot_autograd:
+            assert has_functorch, "functorch is needed for --aot-autograd"
+            self.model = memory_efficient_fusion(self.model)
+
         self.example_inputs = None
         self.num_warm_iter = num_warm_iter
         self.num_bench_iter = num_bench_iter