The paper derives an adjoint-based gradient sharding algorithm for SSMs and claims up to 3X memory reduction, but provides no experimental evidence for the central empirical claims.
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Adjoint sharding for very long context training of state space models
The paper derives an adjoint-based gradient sharding algorithm for SSMs and claims up to 3X memory reduction, but provides no experimental evidence for the central empirical claims.