pytorch/executorch
Jun 2026 – Jun 2026
1 Month active
Languages Used
C++GLSLPython
Technical Skills
Graphics ProgrammingMachine LearningTensor OperationsVulkan
youxie
PROFILE
Youxie
Developed and integrated Vulkan backend support for 2D grid sampling in the pytorch/executorch repository, focusing on the aten.grid_sampler_2d.default operator. The work enabled bilinear interpolation with border padding and corner alignment, allowing PyTorch models to leverage hardware-accelerated 2D grid sampling on Vulkan devices. This reduced reliance on CPU fallbacks and improved throughput for machine learning workloads involving grid sampling. The implementation required expertise in graphics programming, tensor operations, and Vulkan, and involved close collaboration through the pull request workflow. The feature was delivered using C++ and GLSL, expanding the backend’s capabilities and enhancing performance for relevant PyTorch operations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
391
Activity Months1
Your Network
381 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 (pytorch/executorch): Key feature delivered and impact focused on Vulkan backend. Key features delivered: - Vulkan backend support for 2D grid sampler with bilinear interpolation (border padding and corner alignment) for aten.grid_sampler_2d.default, enabling Vulkan-accelerated 2D grid sampling in PyTorch. Major bugs fixed: - No major bugs fixed reported for this module in June 2026. Overall impact and accomplishments: - Expands Vulkan backend coverage in executorch, enabling hardware-accelerated 2D grid sampling, reducing CPU fallbacks, and improving throughput for models using grid sampling on Vulkan devices. Technologies/skills demonstrated: - Vulkan backend development, PyTorch operator integration, bilinear interpolation logic with border handling, PR workflow and cross-repo collaboration (commit 5af1d7bd9bb7c4d2ca97df82a4a3133f6867d271; PR #19982; D106866109).
1 Commits • 1 Features
Jun 1, 2026June 2026 (pytorch/executorch): Key feature delivered and impact focused on Vulkan backend. Key features delivered: - Vulkan backend support for 2D grid sampler with bilinear interpolation (border padding and corner alignment) for aten.grid_sampler_2d.default, enabling Vulkan-accelerated 2D grid sampling in PyTorch. Major bugs fixed: - No major bugs fixed reported for this module in June 2026. Overall impact and accomplishments: - Expands Vulkan backend coverage in executorch, enabling hardware-accelerated 2D grid sampling, reducing CPU fallbacks, and improving throughput for models using grid sampling on Vulkan devices. Technologies/skills demonstrated: - Vulkan backend development, PyTorch operator integration, bilinear interpolation logic with border handling, PR workflow and cross-repo collaboration (commit 5af1d7bd9bb7c4d2ca97df82a4a3133f6867d271; PR #19982; D106866109).
June 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++GLSLPython
Technical Skills
Graphics ProgrammingMachine LearningTensor OperationsVulkan
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