llvm/torch-mlir
Jul 2025 – Sep 2025
2 Months active
Languages Used
PythonC++
Technical Skills
Machine LearningModel ExportingPyTorchSoftware TestingC++ DevelopmentMLIR
Alaa Ali
PROFILE
Alaa Ali
Alaa Leithy contributed to the llvm/torch-mlir repository by developing two core features focused on model export and tensor manipulation. He implemented ConstantArgument support in the fx_import module, enhancing the reliability of exported PyTorch models by ensuring constant values are correctly handled, particularly for layers like MultiheadAttention. Additionally, he added a lowering path for the torch.aten.pixel_unshuffle operation to the Linalg dialect, enabling robust tensor downscaling workflows in neural network architectures. His work involved C++ and Python development, careful integration with MLIR, and thorough validation of tensor dimensions, reflecting a strong understanding of both model exporting and compiler infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
786
Activity Months2
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09; Key feature delivered: Lowering of torch.aten.pixel_unshuffle to the Linalg dialect to enable downscaling in neural networks. Implemented lowering path with dimension checks and validation of the downscale factor to support tensor downscaling workflows in NN architectures. Commit: b8f742b2aa0fafa065d37198f574c4d23aabd886 ([TorchToLinalg] Add lowering of torch.aten.pixel_unshuffle op (#4278)).
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09; Key feature delivered: Lowering of torch.aten.pixel_unshuffle to the Linalg dialect to enable downscaling in neural networks. Implemented lowering path with dimension checks and validation of the downscale factor to support tensor downscaling workflows in NN architectures. Commit: b8f742b2aa0fafa065d37198f574c4d23aabd886 ([TorchToLinalg] Add lowering of torch.aten.pixel_unshuffle op (#4278)).
September 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Implemented ConstantArgument support in fx_import for exported models in llvm/torch-mlir, addressing edge cases where weights are not returned from layers like MultiheadAttention. This enhancement improves export reliability and model deployment readiness by ensuring constant values are properly handled during the FX import/export pipeline.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Implemented ConstantArgument support in fx_import for exported models in llvm/torch-mlir, addressing edge cases where weights are not returned from layers like MultiheadAttention. This enhancement improves export reliability and model deployment readiness by ensuring constant values are properly handled during the FX import/export pipeline.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
C++ DevelopmentMLIRMachine LearningModel ExportingPyTorchPython DevelopmentSoftware TestingTensor Manipulation
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