tenstorrent/tt-mlir
Sep 2025 – Oct 2025
2 Months active
Languages Used
JinjaPythonC++
Technical Skills
Code RefactoringMLIRPyTorchSoftware DevelopmentTestingBuilder Pattern
Dev Desai
PROFILE
Dev Desai
Worked on the tenstorrent/tt-mlir repository to enhance foundational builder capabilities and improve code maintainability. Delivered support for constant operations and multi-return functionality in the TTIR builder, enabling broader MLIR-based IR construction and more flexible operation returns. Addressed technical debt by refactoring redundant subtract implementations and propagating the keep_dim parameter correctly in builder max operations, which improved consistency in MLIR-to-TOSA lowering. Strengthened testing coverage with golden verification and cross-dtype tests, and stabilized CI by skipping tests with known mismatches. Utilized C++, Python, and PyTorch, focusing on the builder pattern, code refactoring, tensor operations, and robust software testing.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
299
Activity Months2
Your Network
479 peopleWork History
October 2025
2 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for tenstorrent/tt-mlir, focusing on delivering foundational builder capabilities and strengthening testing coverage to enable broader MLIR-based IR construction and future optimizations.
2 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for tenstorrent/tt-mlir, focusing on delivering foundational builder capabilities and strengthening testing coverage to enable broader MLIR-based IR construction and future optimizations.
October 2025
September 2025
2 Commits
Sep 1, 2025Summary (2025-09): Delivered stability and maintainability improvements in tenstorrent/tt-mlir. Fixed core propagation bug in keep_dim for the builder max operation and removed an unnecessary duplicate subtract implementation in the TTIR builder. Updated test expectations to skip tests that fail due to known mismatches with TOSA lowering, improving CI reliability and focusing effort on root-cause issues. This work enhances MLIR/TTIR integration reliability and reduces technical debt, enabling safer future optimizations and feature work.
September 2025
2 Commits
Sep 1, 2025Summary (2025-09): Delivered stability and maintainability improvements in tenstorrent/tt-mlir. Fixed core propagation bug in keep_dim for the builder max operation and removed an unnecessary duplicate subtract implementation in the TTIR builder. Updated test expectations to skip tests that fail due to known mismatches with TOSA lowering, improving CI reliability and focusing effort on root-cause issues. This work enhances MLIR/TTIR integration reliability and reduces technical debt, enabling safer future optimizations and feature work.
Activity
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Quality Metrics
Correctness92.6%
Maintainability90.0%
Architecture90.0%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JinjaPython
Technical Skills
Builder PatternCode RefactoringMLIRPyTorchPythonSoftware DevelopmentTensor OperationsTesting
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