pytorch/executorch
Feb 2026 – May 2026
4 Months active
Languages Used
C++PythonYAML
Technical Skills
C++Memory ManagementUnit Testingback end developmentPythonbackend development
khazaei
PROFILE
Khazaei
Worked on the pytorch/executorch repository over four months, delivering core features and critical bug fixes in quantized neural network workflows and backend optimization. Addressed correctness issues in portable batch normalization and quantized convolution, improving reliability across device types by fixing memory initialization and output format handling using C++ and unit testing. Enhanced graph optimization passes by expanding ReplacePowWithMulPass to support whole-number float exponents, updating Python-based tests for broader coverage. Developed a flexible quantized Conv1D workflow by adding an optional offset parameter with AOT precomputation, leveraging Python and tensor operations to improve performance and compatibility in quantized model deployment.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
100
Activity Months4
Your Network
392 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05 focused on delivering a core feature in pytorch/executorch that enhances quantized Conv1D workflows. Implemented an optional offset parameter for quantized_conv1d_nlc with AOT precomputation support and extended compatibility by registering the new argument across multiple files.
1 Commits • 1 Features
May 1, 2026Month: 2026-05 focused on delivering a core feature in pytorch/executorch that enhances quantized Conv1D workflows. Implemented an optional offset parameter for quantized_conv1d_nlc with AOT precomputation support and extended compatibility by registering the new argument across multiple files.
May 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: pytorch/executorch — Key feature delivered: ReplacePowWithMulPass now supports whole-number float exponents, expanding exponent handling in the graph rewrite pass. Tests updated to cover integer and float exponents, enhancing robustness. Related commit: a14c946dcff0c4460f916d81d825c9e07b83ed3a; PR 18851; Differential Revision D100695654. Impact: more reliable exponent rewriting in optimization passes, enabling models with mixed exponent types and reducing edge-case failures. Technologies demonstrated: graph optimization passes, test-driven development, and PR-based collaboration.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: pytorch/executorch — Key feature delivered: ReplacePowWithMulPass now supports whole-number float exponents, expanding exponent handling in the graph rewrite pass. Tests updated to cover integer and float exponents, enhancing robustness. Related commit: a14c946dcff0c4460f916d81d825c9e07b83ed3a; PR 18851; Differential Revision D100695654. Impact: more reliable exponent rewriting in optimization passes, enabling models with mixed exponent types and reducing edge-case failures. Technologies demonstrated: graph optimization passes, test-driven development, and PR-based collaboration.
March 2026
1 Commits
Mar 1, 2026March 2026: PyTorch Executorch - Fixed Quantized Convolution NHWC Output Format to restore correct functionality in the quantized conv2d path. Completed via commit 45a97175fadad7aa660a5666a94a6627445ee86d and merged through PR #18303 (D97172717). This fix improves reliability and correctness of NHWC quantized inference, reducing downstream errors for models relying on NHWC layout.
1 Commits
Mar 1, 2026March 2026: PyTorch Executorch - Fixed Quantized Convolution NHWC Output Format to restore correct functionality in the quantized conv2d path. Completed via commit 45a97175fadad7aa660a5666a94a6627445ee86d and merged through PR #18303 (D97172717). This fix improves reliability and correctness of NHWC quantized inference, reducing downstream errors for models relying on NHWC layout.
March 2026
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for pytorch/executorch focusing on correctness and regression testing of portable batch normalization path. Implemented fix for uninitialized accumulator and added regression test; landed through differential revision D93119990 and PR 17503.
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for pytorch/executorch focusing on correctness and regression testing of portable batch normalization path. Implemented fix for uninitialized accumulator and added regression test; landed through differential revision D93119990 and PR 17503.
Activity
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Quality Metrics
Correctness95.0%
Maintainability85.0%
Architecture85.0%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++PythonYAML
Technical Skills
C++Memory ManagementPythonPython programmingUnit Testingback end developmentbackend developmentquantized neural networkstensor operationsunit testing
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