pytorch/executorch
Mar 2026 – Apr 2026
2 Months active
Languages Used
C++
Technical Skills
C++algorithm optimizationdeep learningquantizationbackend development
Reza Sajadiany
PROFILE
Reza Sajadiany
Reza Sadeghi focused on backend reliability in the pytorch/executorch repository, addressing critical bugs in Conv1d and quantized 1D convolution operations. Using C++ and deep learning expertise, Reza corrected channel ordering in Conv1d by aligning input and weight dimensions, ensuring accurate output generation and reducing silent mismatches in model workflows. In a subsequent patch, Reza improved quantized convolution by fixing stride, padding, and dilation indexing, enhancing correctness for dynamic input sizes. These targeted bug fixes strengthened model robustness and flexibility, demonstrating depth in algorithm optimization and backend development while contributing to code quality and collaborative review processes within the project.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
48
Activity Months2
Your Network
523 peopleWork History
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary focusing on reliability and correctness for quantized operators in executorch. Delivered a targeted bug fix to quantized 1D convolution indexing, improving correctness and flexibility for varying input sizes; patch linked to PR 18626 and Differential Revision D98941393. This work enhances model reliability when using quantized conv with dynamic shapes.
1 Commits
Apr 1, 2026April 2026 monthly summary focusing on reliability and correctness for quantized operators in executorch. Delivered a targeted bug fix to quantized 1D convolution indexing, improving correctness and flexibility for varying input sizes; patch linked to PR 18626 and Differential Revision D98941393. This work enhances model reliability when using quantized conv with dynamic shapes.
April 2026
March 2026
1 Commits
Mar 1, 2026March 2026 (Month: 2026-03) — pytorch/executorch: Delivered a high-impact bug fix addressing Conv1d channel ordering. The fix aligns input and weight dimensions with the expected format, ensuring correct output generation across Conv1d operations. Implemented via commit 569cf417189303770a6646858f459f0ecaaa896f, associated with PR #18259 and Differential Revision D97009237. This work improves model reliability, reduces downstream debugging, and stabilizes Conv1d-based workflows.
March 2026
1 Commits
Mar 1, 2026March 2026 (Month: 2026-03) — pytorch/executorch: Delivered a high-impact bug fix addressing Conv1d channel ordering. The fix aligns input and weight dimensions with the expected format, ensuring correct output generation across Conv1d operations. Implemented via commit 569cf417189303770a6646858f459f0ecaaa896f, associated with PR #18259 and Differential Revision D97009237. This work improves model reliability, reduces downstream debugging, and stabilizes Conv1d-based workflows.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++algorithm optimizationbackend developmentdeep learningquantization
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