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Stefan Djordjevic

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Stefan Djordjevic

In September 2025, Srdjan Djordjevic enhanced the tenstorrent/tt-metal repository by implementing flexible tensor shape support within the Pybind module for ttnn.Tensor. He removed the previous hard-coded 4D shape constraint, introducing a vector-based shape representation at the Python-C++ interface. This approach allowed dynamic tensor shapes, improving integration with diverse models and pipelines while reducing shape-related errors. Srdjan’s work focused on bindings development using C++ and Python, resulting in a more usable and adaptable API for tensor construction. The depth of the change addressed a core limitation, enabling broader downstream compatibility without introducing new bugs during the release period.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
6
Activity Months1

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 monthly summary for tenstorrent/tt-metal: Focused on delivering flexible tensor shape support in the Pybind module for ttnn.Tensor, enabling dynamic shapes and broader integration with models and pipelines. The change removes the hard-coded 4D shape constraint by adopting a vector-based shape representation in the Python-C++ boundary, improving usability and reducing shape-related errors across downstream components.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage80.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

Bindings DevelopmentC++Python

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

tenstorrent/tt-metal

Sep 2025 Sep 2025
1 Month active

Languages Used

C++

Technical Skills

Bindings DevelopmentC++Python