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clawhdf5/crates/clawhdf5-format/Cargo.toml
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osobhandClaude Opus 5.5 d0db83812b
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feat(agent): MemoryConfig::float16 stores half-precision embeddings
The setting was persisted in /meta and otherwise ignored: embeddings
were always written as f32. It now does what it says.

clawhdf5-format:
- `DatasetBuilder::with_f16_data` writes IEEE binary16 (numpy float16),
  rounding to nearest-even, and `make_f16_type`.
- `clawhdf5_format::float16` holds the f32 <-> f16 conversions, the one
  implementation the writer, the reader and the agent all use. Checked
  against the `half` crate on 16.7M f32 values and round-trips all 65536
  half values; the h5py interop tests confirm the rounding matches
  numpy's bit for bit (4020 values incl. ties, subnormals, overflow).
- Reading little-endian float16 as f32 has a fast path.

clawhdf5-agent:
- A float16 store writes /memory/embeddings as half precision, and
  `MemoryCache::half_precision` rounds each embedding as it enters the
  cache (save, update, WAL replay, and on load of a store still f32 on
  disk), so memory and file agree bit for bit and a store searches the
  same before and after a reopen (tested).
- Values beyond +-65504 are refused with the new
  `MemoryError::InvalidEntry` rather than stored as infinity, on every
  save path; batches are all or nothing, and a rejected ephemeral entry
  stays in the ephemeral tier. Breaking for exhaustive matches.
- CLI: `create --float16`. Off by default.

Measured on tank, 384-dim, six runs alternating order, medians
(search_harness --float16-study --full): at 100K the file goes from
154.0 to 80.8 MiB (-48%), checkpoint 752 -> 512 ms, open 300 -> 252 ms;
vector recall@10 against an exact scan and hybrid_search latency do not
change. At 10K open is 3 ms slower. Also a test that h5py opens a whole
agent store, f32 and float16, and decodes every dataset.

Docs: README, BENCHMARKS.md ("float16 embedding storage"), CHANGELOG
(including the h5py interop fixes in the previous commit), CLAUDE.md.

Co-Authored-By: Claude Opus 5.5 (1M context) <[email protected]>
2026-09-24 12:00:38 -05:00

64 lines
2.2 KiB
TOML

[package]
name = "clawhdf5-format"
version = "2.7.0"
edition = "2024"
rust-version.workspace = true
description = "Pure-Rust HDF5 binary format parsing and writing — no C dependencies"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "science", "data", "binary", "no-std"]
categories = ["parser-implementations", "science", "encoding", "no-std"]
[dependencies]
byteorder = { version = "1", default-features = false }
portable-atomic = { version = "1" }
flate2 = { version = "1", default-features = false, features = ["rust_backend"], optional = true }
sha2 = { version = "0.10", default-features = false, optional = true }
rayon = { version = "1", optional = true }
crc32fast = { version = "1", optional = true }
lz4_flex = { version = "0.11", optional = true }
zstd = { version = "0.13", optional = true }
blake3 = { version = "1", optional = true }
libaec-sys = { path = "../libaec-sys", version = "0.1", optional = true }
pco = { version = "1.0", optional = true }
[dev-dependencies]
half = { workspace = true }
serde_json = "1"
criterion = { workspace = true }
clawhdf5-derive = { path = "../clawhdf5-derive", version = "2.7.0" }
[[bench]]
name = "bench"
harness = false
[features]
# Deflate backend: `zlib-rs` (pure Rust) by default. `fast-deflate` selects
# zlib-ng instead (C, built with cmake); flate2 prefers a C zlib whenever one
# is enabled, so turning it on anywhere in the build overrides the default.
default = ["std", "checksum", "deflate", "provenance", "zlib-rs", "system-zlib-decompress"]
std = []
checksum = []
deflate = ["flate2"]
provenance = ["sha2"]
parallel = ["rayon", "std"]
fast-checksum = ["crc32fast"]
fast-deflate = ["flate2/zlib-ng"]
system-zlib = ["flate2/zlib-default"]
system-zlib-decompress = []
# `runtime_detection` gives zlib-rs `std`, which it needs to detect and use
# SIMD at runtime. flate2 enables it by default, but we build flate2 with
# default-features = false, and without it zlib-rs inflates 3.5x slower.
zlib-rs = ["flate2/zlib-rs", "flate2/runtime_detection"]
lz4 = ["lz4_flex"]
zstd = ["dep:zstd"]
blake3_hash = ["blake3"]
szip = ["libaec-sys"]
pcodec = ["dep:pco"]
[[bench]]
name = "parallel_decompress_bench"
harness = false
required-features = ["parallel"]