This repository provides a drop-in replacement for Meta’s Segment Anything model with a focus on fast inference. It automatically applies eval mode, bfloat16 precision, and torch.compile with max-autotune. The key optimization is a custom Triton kernel implementing efficient self-distributed pattern attention (SDPA) for relative positional encodings, tuned for A100 GPUs with automatic autotuning for other devices.