Some questions about different implementations of the SSD algorithm

[chairman-lu]

There are three versions here, corresponding to mamba2.py, mamba2_simple.py, and ssd_minimal.py. The first two versions require the mamba_ssm library. What are the differences between them? Does this mean that the version in mamba2.py is more suitable for practical applications? Can I directly use the implementation in ssd_minimal.py to build my own model and apply it?Additionally, I tested the accuracy difference between ssd_minimal_discrete and mamba_chunk_scan_combined, and the maximum difference can reach 0.05. Why is this the case?