Increase the computational performances of an AI model with custom-generated matrix multiplication algorithm fine-tuned for your specific hardware.
The OpenAlphaTensor module is a powerful tool to optimize deep learning models leveraging the open source implementation of AlphaTensor. It leverages custom-generated algorithms for matrix multiplications to provide significant acceleration for transformer architectures across all hardware devices. With OpenAlphaTensor, users can improve their models’ performance without sacrificing accuracy.
The module is easy to use: simply input your model and let OpenAlphaTensor do the rest. The module analyzes the matrix multiplications and fine-tune itself for your hardware, returning an optimized version of the algorithms that can be integrated into a standard DL optimization framework. The resulting model is packed into a self-contained module that can be deployed without any extra dependencies.
Overall, OpenAlphaTensor is the go-to tool for deep learning professionals who want to get the most out of their models without sacrificing accuracy. Try it out today, and reach out if you have any feedback!