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* [AI + Manual] TurboQuant quantization * Code spell * [Ai + Manual] Integrate TurboQuantizer * [Ai + Manual] Review tests * Add Todos for unimplemented parts * Fix bench * [manual + ai] Add TqVectorExtras for additional metadata in quantized vectors * Direct get_centroids implementation
67 lines
1.2 KiB
TOML
67 lines
1.2 KiB
TOML
[package]
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name = "quantization"
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version = "0.1.0"
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authors = [
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"Andrey Vasnetsov <vasnetsov93@gmail.com>",
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"Qdrant Team <info@qdrant.tech>",
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]
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license = "Apache-2.0"
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edition = "2024"
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[lints]
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workspace = true
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[features]
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testing = ["common/testing"]
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[build-dependencies]
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cc = { workspace = true }
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[dependencies]
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fs-err = { workspace = true }
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serde = { workspace = true }
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serde_json = { workspace = true }
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permutation_iterator = "0.1.2"
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rand = { workspace = true }
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rayon = { workspace = true }
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num-traits = { workspace = true }
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common = { path = "../common/common" }
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strum = { workspace = true }
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bytemuck = { workspace = true }
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parking_lot = { workspace = true }
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ordered-float = { workspace = true }
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arrayvec = "0.7.6"
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[dev-dependencies]
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fs-err = { workspace = true, features = ["debug"] }
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quantization = { path = ".", features = ["testing"] }
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criterion = { workspace = true }
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num_threads = "0.1.7"
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rand_distr = { workspace = true }
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rstest = { workspace = true }
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tempfile = { workspace = true }
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[[bench]]
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name = "encode"
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harness = false
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[[bench]]
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name = "pq"
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harness = false
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[[bench]]
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name = "binary"
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harness = false
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[[bench]]
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name = "p_square"
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harness = false
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[[bench]]
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name = "hadamard"
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harness = false
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[[bench]]
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name = "turboquant"
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harness = false
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