reset dynamo in for lops

Author: mcr229

backends/xnnpack/test/ops/test_check_quant_params.py

@@ -49,6 +49,7 @@ def inject_invalid_scale_in_per_tensor(aten):
         return inject_invalid_scale_in_per_tensor
 
     def _test_check_quant_message(self, ep_modifier, expected_message):
+        torch._dynamo.reset()
         mod = torch.nn.Linear(10, 10)
         quantizer = XNNPACKQuantizer()
         captured = export_for_training(mod, (torch.randn(1, 10),)).module()

backends/xnnpack/test/passes/test_convert_to_linear.py

@@ -24,6 +24,7 @@ def test_fp32_convert_to_linear(self):
         bias_vals = [True, True, False]
 
         for i, _ in enumerate(in_sizes):
+            torch._dynamo.reset()
             in_size = int(in_sizes[i])
             input_size = int(input_sizes[i])
             output_size = int(output_sizes[i])