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https://github.com/ruvnet/RuVector.git
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16fcfcea01
- Add rotated-domain inner product (skip inverse Hadamard via orthogonal invariance: <Hq,Hk> = <q,k>), ~2x faster for attention computation - Add batch-optimized variant that rotates query once across all keys - Add Criterion benchmark suite: compression, decompression, inner product, KV cache ops, embedding store, dimension scaling, memory efficiency - 5 new tests verifying optimized methods match original results - All 18 TurboQuant tests passing Co-Authored-By: claude-flow <ruv@ruv.net> |
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| .. | ||
| ane_bench.rs | ||
| attention_bench.rs | ||
| e2e_bench.rs | ||
| lora_bench.rs | ||
| matmul_bench.rs | ||
| metal_bench.rs | ||
| moe_bench.rs | ||
| norm_bench.rs | ||
| pi_quant_bench.rs | ||
| rope_bench.rs | ||
| ruvltra_benchmark.rs | ||
| serving_bench.rs | ||
| turbo_quant_bench.rs | ||