pytorch/executorch
May 2025 – Jun 2026
2 Months active
Languages Used
C++Python
Technical Skills
C++ developmentKernel developmentQuantization techniquesperformance optimizationquantizationbackend development
wl1026sun
PROFILE
Wl1026sun
Worked on the pytorch/executorch repository, focusing on enhancing quantized operator compatibility and backend correctness over a two-month period. Delivered fallback mechanisms for TIE quantized linear and convolution operators, enabling them to use alternative kernels when unsupported shapes are encountered, which improved performance and reduced reliance on CPU fallbacks. In a separate feature, corrected the HiFi backend’s im2row output layout for NHWC workloads to match the channel-major format, updating both the C++ implementation and associated unit tests for alignment with PyTorch references. Leveraged C++ and Python, with emphasis on kernel development, quantization techniques, backend optimization, and robust unit testing practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
222
Activity Months2
Your Network
3459 peopleSame Organization
@meta.com3078
Peter RongMember
Zain RizviMember
Aaditya NairMember
Aahan AggarwalMember
Aliaksei AndreyeuMember
Arjun ChaturvediMember
Aaron FarberMember
Aaron PollackMember
Aaryaman SagarMember
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 focused on delivering a critical fix in the HiFi backend for NHWC workloads within the executorch repository, with corresponding test updates and cross-repo alignment to PyTorch references. The work enhances correctness and positions NHWC data paths for better performance and reliability in production pipelines.
1 Commits • 1 Features
Jun 1, 2026June 2026 focused on delivering a critical fix in the HiFi backend for NHWC workloads within the executorch repository, with corresponding test updates and cross-repo alignment to PyTorch references. The work enhances correctness and positions NHWC data paths for better performance and reliability in production pipelines.
June 2026
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for developer work focused on pytorch/executorch. Delivered a critical enhancement to TIE Quantized Operators by introducing fallback kernel support for shapes not covered by the TIE kernel, improving compatibility and performance in edge cases.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 monthly summary for developer work focused on pytorch/executorch. Delivered a critical enhancement to TIE Quantized Operators by introducing fallback kernel support for shapes not covered by the TIE kernel, improving compatibility and performance in edge cases.
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ developmentKernel developmentQuantization techniquesbackend developmentperformance optimizationquantizationunit testing
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