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Thibaut Goetghebuer-Planchon

PROFILE

Thibaut Goetghebuer-planchon

Developed a TOSA backend legalization path for PyTorch’s bilinear upsampling within the llvm/torch-mlir repository, focusing on translating torch.aten.upsample_bilinear2d operations into TOSA-compatible tensor operations. The work involved designing a dedicated conversion pattern and implementing parameter-handling utilities to ensure accurate mapping of resizing parameters, enabling reliable end-to-end model conversion from PyTorch to TOSA-backed execution. Leveraging expertise in C++, MLIR, and tensor operations, the developer addressed compatibility challenges between PyTorch and TOSA, facilitating seamless integration for model deployment. The contribution centered on feature development, with an emphasis on correctness and maintainability in the codebase, without addressing bug fixes.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
376
Activity Months1

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026: Focused feature work delivering a TOSA backend legalization path for PyTorch's bilinear upsampling. Delivered a dedicated conversion pattern and parameter-handling utilities to translate torch.aten.upsample_bilinear2d into TOSA-compatible tensor operations. This enables a reliable, end-to-end path from PyTorch models to TOSA-backed execution within llvm/torch-mlir.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++MLIRTensor Operations

Repositories Contributed To

1 repo

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

llvm/torch-mlir

Mar 2026 Mar 2026
1 Month active

Languages Used

C++

Technical Skills

C++MLIRTensor Operations