pytorch/torchrec
Nov 2024 – Jul 2025
2 Months active
Languages Used
PythonreStructuredText
Technical Skills
Pythondata structuresdocumentationtechnical writing
Rodrigo de Salvo Braz
PROFILE
Rodrigo De Salvo Braz
Rodrigo Braz enhanced the PyTorch TorchRec repository by focusing on documentation quality and developer experience. He improved the EmbeddingBagCollection documentation, clarifying mathematical definitions and standardizing the use of sparse data structures to ensure consistency and reduce ambiguity for contributors. Using Python and reStructuredText, Rodrigo also addressed a documentation bug in KeyedJaggedTensor, correcting the explanation of batch size semantics to align with the underlying data model. His work emphasized technical writing and data structure expertise, resulting in clearer onboarding materials and reduced support overhead. These targeted improvements contributed to more maintainable, precise, and user-friendly documentation within TorchRec.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
249
Activity Months2
Your Network
2445 people
Work History
July 2025
1 Commits
Jul 1, 2025July 2025 (2025-07): TorchRec repository (pytorch/torchrec) documentation improvement for KeyedJaggedTensor batch size semantics. The batch size is clarified as the length of the lengths tensor divided by the number of keys, not the number of features divided by the lengths tensor. This aligns API guidance with the underlying data model and supported workflows. Implemented as a documentation-only change tied to commit a65363eeb6bd0f52a6ca3c33145b6926438a4120 (Correction of documentation on KeyjaggedTensor implied batch size (#3197)). The fix reduces user confusion and support overhead without introducing code changes.
1 Commits
Jul 1, 2025July 2025 (2025-07): TorchRec repository (pytorch/torchrec) documentation improvement for KeyedJaggedTensor batch size semantics. The batch size is clarified as the length of the lengths tensor divided by the number of keys, not the number of features divided by the lengths tensor. This aligns API guidance with the underlying data model and supported workflows. Implemented as a documentation-only change tied to commit a65363eeb6bd0f52a6ca3c33145b6926438a4120 (Correction of documentation on KeyjaggedTensor implied batch size (#3197)). The fix reduces user confusion and support overhead without introducing code changes.
July 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024: Focused on improving developer experience and maintainability for PyTorch TorchRec by delivering comprehensive EmbeddingBagCollection documentation improvements. This included clarifying mathematical definitions, updating examples, and ensuring consistency in sparse data structure usage. The work enhances onboarding, reduces support load, and aligns with TorchRec documentation standards across the repository.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024: Focused on improving developer experience and maintainability for PyTorch TorchRec by delivering comprehensive EmbeddingBagCollection documentation improvements. This included clarifying mathematical definitions, updating examples, and ensuring consistency in sparse data structure usage. The work enhances onboarding, reduces support load, and aligns with TorchRec documentation standards across the repository.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonreStructuredText
Technical Skills
Pythondata structuresdocumentationtechnical writing
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