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SparseDictionaryCache

qualia_core_db::inference::sparse_cache

Struct SparseDictionaryCache 

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pub struct SparseDictionaryCache {
    pub dictionary: Tensor3x3x3,
}
Expand description

Orthogonal Matching Pursuit (OMP) mathematically decomposes dense KV Cache vectors against a pre-loaded symbolic lattice dictionary.

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§dictionary: Tensor3x3x3

The pre-computed symbolic lattice (e.g., CML dictionaries mapped from WordNet). For zero-allocation constraints, we model this as a fixed-size tensor.

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impl SparseDictionaryCache

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pub fn new(dictionary: Tensor3x3x3) -> Self

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pub fn compress_kv_block( &self, dense_block: &Tensor3x3x3, ) -> SolverResult<Tensor3x3x3>

Decomposes a dense KV cache block into a sparse representation using Orthogonal Matching Pursuit (OMP) via constant tensor contraction.

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