Clad as a First-Class Gradient Engine in LibTorch: GSoC 2026 Final Report
• Nov 05, 2026
Integrating Clad-generated derivatives with LibTorch, training an MNIST model, and investigating where compile-time differentiation saves time and where Tensor memory still remains live.
Kacent Huang
Salvador de la Torre Gonzalez
Ezzeldin Ibrahim
Abdelrhman Elrawy
Hristiyan Shterev
Georgi Runtolev
Sahil Patidar
Jeffrey Zhang
Vedant Goyal
Aditya Medhane
Peiqi Li
Ayokunle Amodu
Muhammad Bassiouni
Georgi Haralanov
Vassil Vassilev
Ivan Velev
Anton Dekov
Iva Fezova
Luciana Melina Luque
Aditya Pandey
Abhinav Kumar
Jiayang Li
Maksym Andriichuk
Aditi Milind Joshi
Rohan Timmaraju
Galin Bistrev
Petro Zarytskyi
Petro Mozil
Pavlo Svirin
Christina Koutsou
Chaitanya Shahare
Atell Yehor Krasnopolski
Tharun Anandh
Isaac Morales Santana
Mihail Mihov
Riya Bisht
Yuquan (Fred) Fu
Anubhab Ghosh
Jun Zhang
Purva Chaudhari
Matheus Izvekov