onnx/onnx-mlir
May 2025 – Jul 2025
3 Months active
Languages Used
C++MLIRPythonShell
Technical Skills
C++Compiler DevelopmentMLIRONNXONNX RuntimeLow-Level Optimization
Jagadeesh V
PROFILE
Jagadeesh V
Jagadeesh Vijayendran contributed to the onnx/onnx-mlir repository by developing and integrating core operator support, including Hann Window, Mish, LpNormalization, Binarizer, BitShift, and RandomUniformLike, expanding the compiler’s backend capabilities. He implemented lowering patterns from ONNX to the Krnl dialect, updated operator definitions, and enhanced test coverage and documentation to ensure correctness and maintainability. His work involved C++, MLIR, and Python, focusing on low-level optimization and build system management. By updating dependencies and aligning with stable LLVM and StableHLO revisions, Jagadeesh improved build stability and reproducibility, addressing both feature delivery and long-term maintainability within the ONNX-MLIR pipeline.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
7
Lines of code
1,476
Activity Months3
Your Network
117 people
Work History
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025 Monthly Summary – onnx/onnx-mlir Overview: This month focused on delivering core operator support in the Krnl/ONNX-MLIR path, expanding runtime capabilities for signal processing and random number generation, and tightening the build surface with dependency updates. The work advances ONNX-MLIR’s practical usability in production pipelines, improves reproducibility, and reduces maintenance risk by aligning with known-good LLVM/StableHLO revisions.
4 Commits • 2 Features
Jul 1, 2025July 2025 Monthly Summary – onnx/onnx-mlir Overview: This month focused on delivering core operator support in the Krnl/ONNX-MLIR path, expanding runtime capabilities for signal processing and random number generation, and tightening the build surface with dependency updates. The work advances ONNX-MLIR’s practical usability in production pipelines, improves reproducibility, and reduces maintenance risk by aligning with known-good LLVM/StableHLO revisions.
July 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for onnx/onnx-mlir focusing on feature delivery and technical impact.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for onnx/onnx-mlir focusing on feature delivery and technical impact.
May 2025
4 Commits • 4 Features
May 1, 2025May 2025 monthly summary focusing on feature delivery and test coverage across ONNX-MLIR projects. Key achievements include lowering support for Shrink, Mish, and LpNormalization to Krnl, plus backend tests and docs updates. No explicit bug fixes recorded in the provided data. Impact includes expanded operator support, improved cross-dialect conversion, and stronger validation through tests and docs.
4 Commits • 4 Features
May 1, 2025May 2025 monthly summary focusing on feature delivery and test coverage across ONNX-MLIR projects. Key achievements include lowering support for Shrink, Mish, and LpNormalization to Krnl, plus backend tests and docs updates. No explicit bug fixes recorded in the provided data. Impact includes expanded operator support, improved cross-dialect conversion, and stronger validation through tests and docs.
May 2025
Activity
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Quality Metrics
Correctness98.0%
Maintainability94.0%
Architecture94.0%
Performance86.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MLIRPythonShellprotobuf
Technical Skills
Backend DevelopmentBuild System ManagementBuild SystemsC++Compiler DevelopmentDependency ManagementDocumentationLow-Level OptimizationMLIRONNXONNX RuntimeTesting
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
Xilinx/onnx-mlir
May 2025 – May 2025
1 Month active
Languages Used
C++MLIRPython
Technical Skills
Compiler DevelopmentLow-Level OptimizationMLIRONNX
onnx/onnx
May 2025 – May 2025
1 Month active
Languages Used
Pythonprotobuf
Technical Skills
Backend DevelopmentDocumentationONNX RuntimeTesting