tenstorrent/tt-mlir
Sep 2025 – Oct 2025
2 Months active
Languages Used
JinjaPythonC++
Technical Skills
Code RefactoringMLIRPyTorchSoftware DevelopmentTestingBuilder Pattern
Dev Desai
PROFILE
Dev Desai
During a two-month period, Dhruv Desai enhanced the tenstorrent/tt-mlir repository by building foundational features and improving code maintainability. He implemented constant operation support and multi-return capabilities in the TTIR builder, enabling broader MLIR-based IR construction and more flexible operation returns. Using Python, C++, and MLIR, Dhruv focused on robust testing, adding golden verification and cross-dtype tests to ensure correctness across tensor shapes and data types. He also refactored code to remove redundant implementations and stabilized the test suite by addressing known mismatches, reducing technical debt and regression risk while supporting safer future optimizations and integrations.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
4Total
Bugs
2
Commits
4
Features
2
Lines of code
299
Activity Months2
Your Network
390 people
Work 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
Loading activity data...
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
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline