I recently had the opportunity to implement einsum using torch operations, and I must say it was an incredible learning experience. Not only did I gain a deeper understanding of the underlying concepts, but I also had a lot of fun doing it. I wanted to share my experience with the community, hoping it might inspire others to take on similar projects.
The process of implementing einsum was a great way to improve my skills in machine learning and PyTorch. It required me to think creatively and overcome various challenges, which ultimately made me a better programmer.
If you’re interested in learning more about my implementation, I’ve written a detailed blog post about it. You can find it at the link below.
I’d love to hear about your own experiences with implementing einsum or other machine learning projects. What did you learn from them, and what challenges did you face?