message: [oncall] fix flaky test (test_quant_dequant_not_fold)
  Summary:
  Pull Request resolved:
  Test `deeplearning.trt.fx2trt_oss.test.quant.test_quant_trt.TestQuantizeFxTRTOps` always fails due to incorrect sample inputs type. Fix it here.
  See the task for more details.
diff: @@ -752,7 +752,7 @@ class TestQuantizeFxTRTOps(QuantizationTestCase):
  return self.relu(self.linear(x))
  model = LinearModule().eval()
  - inputs = torch.rand(8, 5)
  + inputs = [torch.rand(8, 5)]
  prepared = prepare_fx(model, {"": self.qconfig}, backend_config_dict=self.trt_backend_config_dict)
  quantized = convert_fx(
  