### What does this PR do?
- Add Security related coding practices in `SECURITY.md` and merge with
`2_security.rst`
- Update `CONTRIBUTING.md` for instructions to follow if copying code
from other repositories
- Update PR template
- Cleanup dependency files
- New API `mto.load_modelopt_state` doing the insecure `torch.load(f,
weights_only=False)` instead of doing it separately everywhere. This
also allows us to later improve the input validation for
`modelopt_state_path` or use safer alternatives to `torch.load`
### Testing
<!-- Mention how have you tested your change if applicable. -->
N/A
### Before your PR is "*Ready for review*"
Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)
and your commits are signed (`git commit -s -S`).
Make sure you read and follow the [Security Best
Practices](https://github.com/NVIDIA/Model-Optimizer/blob/main/SECURITY.md#security-coding-practices-for-contributors)
(e.g. hardcoded `trust_remote_code=True`, `torch.load(...,
weights_only=True)`, `pickle`, etc.).
- Is this change backward compatible?: ✅ <!--- If ❌, explain why. -->
- If you copied code from any other source, did you follow IP policy in
[CONTRIBUTING.md](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md#-copying-code-from-other-sources)?:
✅ <!--- Mandatory -->
- Did you write any new necessary tests?: NA <!--- Mandatory for new
features or examples. -->
- Did you add or update any necessary documentation and update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?:
NA <!--- Only for new features, API changes, critical bug fixes or
backward incompatible changes. -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
* **Documentation**
* Expanded and reorganized security guidance and contributor procedures;
updated PR template and several READMEs with clearer security,
submission, and installation instructions
* Replaced an older security document with an enhanced, centralized
security guidance
* **Chores**
* Adjusted example dependency lists and optional extras (adds, removals,
and version constraints)
* Enabled automated incremental reviews, added pre-merge security
checks, and introduced a knowledge-base of coding/security guidelines
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>
## What does this PR do?
**Type of change:** new example <!-- Use one of the following: Bug fix,
new feature, new example, new tests, documentation. -->
**Overview:**
Adding LTX-2 distillation trainer.
## Usage
<!-- You can potentially add a usage example below. -->
```bash
accelerate launch \
--config_file configs/accelerate/fsdp.yaml \
--num_processes 8 \
distillation_trainer.py --config configs/distillation_example.yaml
```
See readme for more details.
## Testing
Run training with single/multiple nodes.
## Before your PR is "*Ready for review*"
<!-- If you haven't finished some of the above items you can still open
`Draft` PR. -->
- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: Yes <!--- If No, explain why.
-->
- **Did you write any new necessary tests?**: NA
- **Did you add or update any necessary documentation?**: Yes
- **Did you update
[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?**:
Yes <!--- Only for new features, API changes, critical bug fixes or bw
breaking changes. -->
## Additional Information
<!-- E.g. related issue. -->
<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit
## New Features
* Added distillation training support for LTX-2 models with quantization
integration.
* Introduced comprehensive documentation and example configurations for
distillation workflows.
* Includes multi-GPU and multi-node training setup with distributed
training support and customizable configuration templates.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
---------
Signed-off-by: Meng Xin <mxin@nvidia.com>
Keval Morabia