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
Archer Mmt contributed to the apache/tvm repository by expanding Relax operator coverage and improving translation capabilities for PyTorch-based models, focusing on scatter operations such as scatter_elements, scatter_nd, and masked_scatter. Using C++ and Python, Archer implemented new opcodes and code generation paths, enhancing the accuracy and reliability of model translation and execution within the Relax framework. In addition, Archer streamlined the MSC module by deprecating and removing the Relay-based translation path, cleaning up unused code, updating dependencies, and eliminating obsolete tests. This work demonstrated depth in compiler development, code refactoring, and dependency management, resulting in improved maintainability and build stability.
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
79 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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