Fixed the cache diffusion ci/cd (#620)

## What does this PR do?

**Type of change:** Bug fix <!-- Use one of the following: Bug fix, new
feature, new example, new tests, documentation. -->

**Overview:** Fixed the cache diffusion CI/CD issue related to Torch
2.9.

## Usage
<!-- You can potentially add a usage example below. -->

```bash
pytest tests/examples/diffusers/test_cache_diffusion.py::test_sdxl_benchmarks -v -s
```

## Testing
<!-- Mention how have you tested your change if applicable. -->

## Before your PR is "*Ready for review*"
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`Draft` PR. -->

- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: Yes/No <!--- If No, explain
why. -->
- **Did you write any new necessary tests?**: Yes/No
- **Did you add or update any necessary documentation?**: Yes/No
- **Did you update
[Changelog](https://github.com/NVIDIA/TensorRT-Model-Optimizer/blob/main/CHANGELOG.rst)?**:
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## Additional Information
<!-- E.g. related issue. -->

Signed-off-by: Jingyu Xin <[email protected]>

Author: jingyu-ml

examples/diffusers/cache_diffusion/pipeline/deploy.py

@@ -169,13 +169,16 @@ def export_onnx(backbone, onnx_path: Path):
                 output_names = ONNX_CONFIG[backbone.__class__][f"{name}"]["output_names"]
                 onnx_export(
                     module,
-                    args=dummy_input,
+                    args=tuple(dummy_input.values())
+                    if isinstance(dummy_input, dict)
+                    else dummy_input,
                     f=_onnx_file.as_posix(),
                     input_names=input_names,
                     output_names=output_names,
                     dynamic_axes=ONNX_CONFIG[backbone.__class__][f"{name}"]["dynamic_axes"],
                     do_constant_folding=True,
                     opset_version=17,
+                    dynamo=False,
                 )
             else:
                 print(f"{_onnx_file!s} already exists!")