pytorch/executorch
Oct 2024 – Oct 2024
1 Month active
Languages Used
C++Python
Technical Skills
Python programmingdeep learningmachine learningmodel optimizationquantization
haowhsu-quic
PROFILE
Haowhsu-quic
Worked on enabling the OSS FastViT model within the Qualcomm AI Engine for the pytorch/executorch repository, focusing on robust integration and model optimization. Developed a new transformation pass to address tensor shape mismatches during layout changes, ensuring compatibility across different model configurations. Introduced a ParamObserver mechanism to monitor and manage outlier parameters, enhancing model robustness and reliability. The work involved targeted refactoring and bug fixes to stabilize the OSS model enablement, with an emphasis on maintainability and integration quality. Utilized Python and C++ alongside deep learning and quantization techniques to deliver a well-structured, production-ready feature within one month.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,118
Activity Months1
Your Network
547 peopleWork History
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 highlights the delivery of OSS model enablement for FastViT in the Qualcomm AI Engine for the pytorch/executorch repo. Key work includes a new pass to handle tensor shape mismatches during layout transformations, a ParamObserver to track outlier parameters, and targeted refactoring plus bug fixes to stabilize the OSS enablement and integration.
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 highlights the delivery of OSS model enablement for FastViT in the Qualcomm AI Engine for the pytorch/executorch repo. Key work includes a new pass to handle tensor shape mismatches during layout transformations, a ParamObserver to track outlier parameters, and targeted refactoring plus bug fixes to stabilize the OSS enablement and integration.
October 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Python programmingdeep learningmachine learningmodel optimizationquantization
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