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Multi-backend refactor + MLX backend MVP; bump to 0.3a1
- #14
#14
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Jun 4, 2026
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Multi-backend refactor + MLX backend MVP; bump to 0.3a1
#14
JulianSlzr
merged 29 commits into
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google/sequence-layers:main
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mlx
google/sequence-layers:mlx
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Commits on Jun 1, 2026
tool/build: Modernize pyproject.toml and add design manuals
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refactor: Introduce specs/ protocol layer
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refactor: Align JAX/MLX backends and introduce backend operations
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refactor: Abstract and implement multi-backend testing utilities
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docs(sync): add temporary agent guidelines and staging path override
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refactor(mlx/test_utils): standardize abstract test_utils and backends for specs architecture
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fix(mlx/test_utils): standardize type idempotency and low-precision tolerances
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feat(specs/types): add channel_spec abstract property and concrete overrides
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fix(specs): resolve MRO and duplicate protocol issues in types
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feat: squash-merge mlx modules (simple through logging) onto rebased foundation
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fix: resolve specs mixin generic MRO issues and coerce Sequence inputs to mx.array
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refactor(mlx): Port signal/utils unit tests and fix latency validation
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chore(release): bump version to 0.3.0rc1
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refactor(jax): remove dead projection helper to secure checkpoint backward compatibility
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style(jax): explicitly restate inherited config fields in conditioning and position layers
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chore(specs): clean up private exports and testonly symbols from package roots
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refactor(simple): decouple gated unit configs from GatedUnit.Config
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style(jax): strip config= keyword argument in simple layers
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refactor: unify get_initial_state and Lambda signatures to ChannelSpec
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fix(jax): restore explicit_semicausal padding and fix FFT/IRFFT dtypes
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feat(mlx): canonicalize dtype conversions and preserve int64/float64
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chore: migrate all relative imports to absolute imports for Google3
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refactor(mlx): unify duplicate _to_mx_dtype implementations
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style(jax): reorder explicit_semicausal in dsp_test.py to minimize diff with main
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feat(mlx): add EinsumDense.to_quantized for int8/int4 quantization
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feat(mlx): support combined QKV projection quantization in DotProductSelfAttention
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Commits on Jun 4, 2026
restore Python 3.12 compatibility
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simplify versioning to 0.3a1
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refactor(mlx): use mlx_layers backing attribute for Serial combinators
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