Vchitect/VBench
Jan 2025 – Jan 2025
1 Month active
Languages Used
MarkdownPython
Technical Skills
Build ProcessBuild SystemsDependency ManagementPackage ManagementPyTorchPython Development
NattapolChan
PROFILE
Nattapolchan
Worked on the Vchitect/VBench repository to enhance installation reliability and compatibility for users adopting modern PyTorch and CUDA environments. Addressed a device placement issue in PatchEmbed by removing restrictive version constraints, ensuring seamless operation with PyTorch 2.x. Improved the packaging process by introducing explicit CUDA and PyTorch requirement checks, updating the timm dependency, and releasing version 0.1.5 to reflect these changes. Utilized Python and Markdown to clarify documentation and streamline deployment, reducing setup errors and support friction. Focused on build systems, dependency management, and software compatibility to enable smoother installations and broader adoption for the VBench package.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
1
Lines of code
106
Activity Months1
Your Network
9 peopleShared Repositories
9
zhengli1013Member
Huang ZiqiMember
yujiashuoMember
Thanh LeMember
zouMember
Xiaojie XuMember
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zhengdianMember
Work History
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 – VBench (Vchitect) focused on improving compatibility and installation reliability to expand user adoption and reduce support friction. Key deliverables include PyTorch 2.x compatibility fix for PatchEmbed device placement and packaging improvements that clearly specify CUDA/PyTorch requirements, updated timm dependency, and a release bump to 0.1.5. These changes reduce setup errors, improve CUDA runtime compatibility, and streamline deployment for users with modern PyTorch/CUDA stacks.
4 Commits • 1 Features
Jan 1, 2025January 2025 – VBench (Vchitect) focused on improving compatibility and installation reliability to expand user adoption and reduce support friction. Key deliverables include PyTorch 2.x compatibility fix for PatchEmbed device placement and packaging improvements that clearly specify CUDA/PyTorch requirements, updated timm dependency, and a release bump to 0.1.5. These changes reduce setup errors, improve CUDA runtime compatibility, and streamline deployment for users with modern PyTorch/CUDA stacks.
January 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture75.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
Build ProcessBuild SystemsDependency ManagementPackage ManagementPyTorchPython DevelopmentSoftware Compatibility
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