google/heir
Mar 2025 – Mar 2025
1 Month active
Languages Used
C++MLIRPython
Technical Skills
Build Systems (CMake/Bazel)C++Code GenerationCompiler DevelopmentDomain-Specific Languages (DSLs)MLIR
Jianming Tong
PROFILE
Jianming Tong
During March 2025, Jianming Tang developed Python code generation capabilities for the JaxiteWord library within the google/heir repository, focusing on bridging MLIR and Python for seamless integration. He designed and implemented the JaxiteWord dialect, introducing new types such as ciphertext and modulus_list, and added a ciphertext addition operation. Using C++, MLIR, and Python, Jianming built an emitter to translate MLIR operations into Python code, updated the build system with CMake and Bazel to support these changes, and created basic tests using the Lit framework. This work established a foundational pipeline for Python-based workflows leveraging the JaxiteWord API.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
834
Activity Months1
Your Network
4212 people
Work History
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 focused on delivering the JaxiteWord Python code generation capabilities for the google/heir project, establishing the core bridge between MLIR and Python and laying the groundwork for seamless Python usage of the JaxiteWord library API. Key features and integration work completed in this period include a new JaxiteWord Dialect and its emitter, enabling Python code generation for the dialect, as well as updates to the build system and basic tests to validate functionality.
2 Commits • 1 Features
Mar 1, 2025March 2025 focused on delivering the JaxiteWord Python code generation capabilities for the google/heir project, establishing the core bridge between MLIR and Python and laying the groundwork for seamless Python usage of the JaxiteWord library API. Key features and integration work completed in this period include a new JaxiteWord Dialect and its emitter, enabling Python code generation for the dialect, as well as updates to the build system and basic tests to validate functionality.
March 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MLIRPython
Technical Skills
Build Systems (CMake/Bazel)C++Code GenerationCompiler DevelopmentDomain-Specific Languages (DSLs)MLIRPythonTesting Frameworks (Lit)
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