Xilinx/onnx-mlir
Jan 2025 – Aug 2025
3 Months active
Languages Used
C++
Technical Skills
Compiler DevelopmentMachine Learning OperationsCommand-Line InterfaceONNX RuntimeBuild SystemCMake
Liam Fitzpatrick
PROFILE
Liam Fitzpatrick
Liam Fitzpatrick contributed to the Xilinx/onnx-mlir repository by developing GELU shape inference for the FrontendDialectTransformer, improving output element type accuracy during model compilation and execution. He extended the MLIR-based frontend to align GELU inference with existing DequantizeLinear and QuantizeLinear paths, supporting reliable model deployment. Liam also enhanced deployment workflows by adding a command-line interface option in C++ to decouple ONNX initializer files from model directories, streamlining asset management. Additionally, he stabilized continuous integration by removing unstable ONNX MLIR rewriters from the CMake build system, demonstrating depth in compiler development, build systems, and machine learning operations within a production environment.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
79
Activity Months3
Your Network
1333 people
Work History
August 2025
1 Commits
Aug 1, 2025August 2025 monthly summary for Xilinx/onnx-mlir focused on CI stabilization by removing unstable ONNX MLIR rewriters from the build. This change reduces flakiness and accelerates integration cycles. Commit 8547acb2a48626d2e9a4386f27789a774af5d511 implements the fix by removing rewriter configurations in the CMake build system.
1 Commits
Aug 1, 2025August 2025 monthly summary for Xilinx/onnx-mlir focused on CI stabilization by removing unstable ONNX MLIR rewriters from the build. This change reduces flakiness and accelerates integration cycles. Commit 8547acb2a48626d2e9a4386f27789a774af5d511 implements the fix by removing rewriter configurations in the CMake build system.
August 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a new CLI option to specify the directory for ONNX initializer files in Xilinx/onnx-mlir, decoupling initializer assets from the model directory to improve asset management and deployment reproducibility. The change simplifies asset organization for downstream users and aligns with our ongoing efficiency initiatives.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a new CLI option to specify the directory for ONNX initializer files in Xilinx/onnx-mlir, decoupling initializer assets from the model directory to improve asset management and deployment reproducibility. The change simplifies asset organization for downstream users and aligns with our ongoing efficiency initiatives.
January 2025
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focused on delivering GELU shape inference for FrontendDialectTransformer in Xilinx/onnx-mlir, improving accuracy of output element types during model compilation and execution, and aligning GELU inference with existing paths for DequantizeLinear and QuantizeLinear. The work supports reliable model deployment and reduces runtime type errors for GELU-enabled models.
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focused on delivering GELU shape inference for FrontendDialectTransformer in Xilinx/onnx-mlir, improving accuracy of output element types during model compilation and execution, and aligning GELU inference with existing paths for DequantizeLinear and QuantizeLinear. The work supports reliable model deployment and reduces runtime type errors for GELU-enabled models.
January 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture80.0%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Build SystemCMakeCommand-Line InterfaceCompiler DevelopmentMachine Learning OperationsONNX Runtime
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