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Filippo Arcadu

PROFILE

Filippo Arcadu

Worked on backend stability for the facebookresearch/momentum repository, focusing on improving compile and export workflows using PyTorch and Python. Addressed a critical bug by implementing a fallback mechanism to the Torch backend during compilation and export, ensuring correct kernel selection and traceability. Introduced a conditional check with torch.compiler.is_compiling() before accessing context variables, which prevented Dynamo capture errors and stabilized backend resolution paths. This solution reduced failures in export tests and aligned the workflow with CARMM ExecuTorch export requirements. The work demonstrated strong backend development and unit testing skills, contributing to more reliable and maintainable export and compile processes.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
18
Activity Months1

Your Network

3186 people

Work History

June 2026

1 Commits

Jun 1, 2026

June 2026 monthly summary for facebookresearch/momentum focused on backend stability during compile/export and Dynamo trace resilience. Implemented a robust fallback to the Torch backend during compilation/export flows to ensure traceability and correct kernel selection in export scenarios. Added a gate using torch.compiler.is_compiling() before reading the _FORCED_BACKEND ContextVar to avoid Dynamo capture errors. This fix stabilizes the backend resolution path for Torch export/compile, reducing failures in export tests and aligning with CARMM ExecuTorch export requirements.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

PyTorchbackend developmentunit testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

facebookresearch/momentum

Jun 2026 Jun 2026
1 Month active

Languages Used

Python

Technical Skills

PyTorchbackend developmentunit testing