diff --git a/CHANGELOG.md b/CHANGELOG.md
index 1c6262225b2f4..a1c0551703af2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -278,6 +278,10 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 -
 
 
+- Avoid the deprecated `onnx.export(example_outputs=...)` in torch 1.10 ([#11116](https://github.com/PyTorchLightning/pytorch-lightning/pull/11116))
+
+
+
 - Fixed an issue when torch-scripting a `LightningModule` after training with `Trainer(sync_batchnorm=True)` ([#11078](https://github.com/PyTorchLightning/pytorch-lightning/pull/11078))
 
 
diff --git a/pytorch_lightning/core/lightning.py b/pytorch_lightning/core/lightning.py
index 38010f7acf0a1..fd285f7139953 100644
--- a/pytorch_lightning/core/lightning.py
+++ b/pytorch_lightning/core/lightning.py
@@ -1807,7 +1807,7 @@ def to_onnx(self, file_path: Union[str, Path], input_sample: Optional[Any] = Non
 
         input_sample = self._apply_batch_transfer_handler(input_sample)
 
-        if "example_outputs" not in kwargs:
+        if not _TORCH_GREATER_EQUAL_1_10 and "example_outputs" not in kwargs:
             self.eval()
             if isinstance(input_sample, Tuple):
                 kwargs["example_outputs"] = self(*input_sample)
diff --git a/tests/models/test_onnx.py b/tests/models/test_onnx.py
index 7ab425dd12ea6..d111b266fb115 100644
--- a/tests/models/test_onnx.py
+++ b/tests/models/test_onnx.py
@@ -53,6 +53,7 @@ def test_model_saves_on_gpu(tmpdir):
     assert os.path.getsize(file_path) > 4e2
 
 
+@RunIf(max_torch="1.10")
 def test_model_saves_with_example_output(tmpdir):
     """Test that ONNX model saves when provided with example output."""
     model = BoringModel()