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 streamlining module architecture. They implemented support for scatter_elements, scatter_nd, and masked_scatter operations in the Relax framework, enhancing PyTorch FX/graph translation and enabling broader model compatibility. Using C++ and Python, Archer introduced new opcodes, code generation paths, and improved dataset utilities to ensure accurate translation and execution of scatter-enabled models. Additionally, they refactored the MSC module by deprecating and removing the Relay-based translation path, cleaning up unused code and dependencies. This work reduced maintenance complexity and improved build stability, reflecting a focus on robust, maintainable engineering.
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
69 people
Work 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
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