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Model-Optimizer/tests/examples
kaix-nv 70ffb6f87c Remove test_llama_eval_sparse_attention (#914)
## What does this PR do?

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

**Overview:** ?
Fix the example test.

## Usage
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```python
# Add a code snippet demonstrating how to use this
```

## Testing
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## Before your PR is "*Ready for review*"
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- **Make sure you read and follow [Contributor
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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/Model-Optimizer/blob/main/CHANGELOG.rst)?**:
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## Additional Information
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

* **Tests**
  * Removed a sparse attention test variant to streamline test coverage.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->

Signed-off-by: Kai Xu <kaix@nvidia.com>
2026-02-21 15:06:50 +05:30
..
2025-10-28 18:03:46 +00:00
2025-10-28 18:03:46 +00:00

Model Optimizer End-to-End Tests

This directory contains end-to-end tests for the Model Optimizer's examples.

Adding new tests

To add a test for a new example, create a new example directory in tests/examples following the existing examples as guidance. Make sure to use as small models and less data as possible to keep the tests fast. Unless needed, have tests finish under 15 minutes.

Running the tests

To run a test, start from the recommended docker image from our installation docs. Then mount your local modelopt directory to /workspace/Model-Optimizer and run this from the root of the repository.

cd /workspace/Model-Optimizer
pip install -e ".[all,dev-test]"
pytest tests/examples/$TEST

Environment variables

The following environment variables can be set to control the behavior of the tests:

  • MODELOPT_LOCAL_MODEL_ROOT: If set, the tests will use the local model directory instead of downloading the model from the internet. Default is not set, which means the model will be downloaded.