apache/tvm
Nov 2024 – Mar 2025
2 Months active
Languages Used
C++Python
Technical Skills
Compiler DevelopmentDeep Learning FrameworksFrontend DevelopmentGraph OptimizationGraph TranslationOperator Implementation
Archermmt
PROFILE
Archermmt
Worked on the apache/tvm repository to expand Relax operator coverage and streamline module architecture. Developed support for scatter_elements, scatter_nd, and masked_scatter operations in Relax, enhancing PyTorch FX/graph translation and enabling broader model compatibility. This involved implementing new opcodes, updating code generation paths, and refining dataset utilities and graph builder logic for accurate model translation and execution. Later, focused on the MSC module by deprecating and removing the Relay-based translation path, cleaning up unused code, updating dependencies, and eliminating obsolete tests. Utilized C++, Python, and deep learning frameworks, emphasizing code refactoring, compiler development, and dependency management throughout the work.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
4,664
Activity Months2
Your Network
104 peopleWork History
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for apache/tvm focusing on the MSC module. Delivered deprecation and removal of the Relay-based translation path in MSC, streamlining module responsibilities and reducing maintenance burden. The work removed the Relay frontend and related functionalities, cleaned up unused code, updated dependencies, and eliminated dynamic tests tied to the Relay integration. This reduces complexity, lowers future risk, and improves build stability.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for apache/tvm focusing on the MSC module. Delivered deprecation and removal of the Relay-based translation path in MSC, streamlining module responsibilities and reducing maintenance burden. The work removed the Relay frontend and related functionalities, cleaned up unused code, updated dependencies, and eliminated dynamic tests tied to the Relay integration. This reduces complexity, lowers future risk, and improves build stability.
March 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — This month focused on expanding Relax operator coverage and translation capabilities for PyTorch-based models in TVM, enabling broader deployment scenarios and improved translation accuracy.
November 2024
2 Commits • 1 Features
Nov 1, 2024Month: 2024-11 — This month focused on expanding Relax operator coverage and translation capabilities for PyTorch-based models in TVM, enabling broader deployment scenarios and improved translation accuracy.
Activity
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Quality Metrics
Correctness93.4%
Maintainability86.6%
Architecture93.4%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++Code RefactoringCompiler DevelopmentDeep Learning FrameworksDependency ManagementFrontend DevelopmentGraph OptimizationGraph TranslationOperator ImplementationPythonTesting
Repositories Contributed To
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