Validity-Aware Multi-Level Autotuning for Efficient Tensor Program Generation

The growing complexity of deep learning models necessitates specialized hardware and software optimizations, across diverse computing platforms, spanning from general-purpose CPUs and GPUs to domain-specific accelerators. While machine learning-based autotuning methods have emerged as a promising so... View More