v0.6.0

   Features

• contract: Introduce IR v2 artifact semantics  -  by @caelyreth (d388a)
• metal: Harden fp16 sparse inference  -  by @caelyreth (82150)

   Bug Fixes

• conformance: Align sparse fixture rows  -  by @caelyreth (b03eb)

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v0.5.0

   Features

• Harden canonical sparse semantics  -  by @caelyreth (5b31d)

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v0.4.1

   Bug Fixes

• contract: Allocate unique MLIR SSA names  -  by @caelyreth (505ff)

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v0.4.0

   Features

• conv:
  • Add normalized sparse convolution  -  by @caelyreth (5008e)
  • Add target transpose convolution  -  by @caelyreth (e147a)
• pool:
  • Add sparse pooling transpose  -  by @caelyreth (7c25a)
  • Add trilinear sparse upsampling  -  by @caelyreth (e2f4c)
• tensor:
  • Add exact sparse reindexing  -  by @caelyreth (62143)
  • Add sparse lifecycle utilities  -  by @caelyreth (47b17)
  • Add duplicate coordinate reduction  -  by @caelyreth (54b5b)

   Bug Fixes

• Harden artifact runtime and native ABI  -  by @caelyreth (c8418)

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v0.3.1

   Bug Fixes

• Route pointwise multiply to fp32 projection for accuracy  -  by @caelyreth (55a1b)

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v0.3.0

   Breaking Changes

• Align artifact architecture toward MLIR-first sparse ABI  -  by @caelyreth (96593)
• contract:
  • Reshape contract layer to MLIR first + cleanup  -  by @caelyreth (a0e4c)
  • Enforce schema digest and explicit artifact IO ABI  -  by @caelyreth (e1a1e)
• mlir:
  • V0 lattice artifact ABI + annotation-bound runtime  -  by @caelyreth (f8dcc)

   Features

• Basic lattice mlir dialect slice  -  by @caelyreth (dbda8)
• Integrated annotation based mlir binding  -  by @caelyreth (b1e57)
• contract: Add sparse cat artifact op  -  by @caelyreth (eea45)

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v0.2.2

   Features

• Stable IR registry lock in + cleanup  -  by @caelyreth (235ff)

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v0.2.1

   Breaking Changes

• Rename mlx-lattice.export to mlx-lattice.artifact  -  by @caelyreth (0e686)

   Features

• Experimental prototype lattice ir, prepared for torch-lattice  -  by @caelyreth (b9308)

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v0.2.0

   Breaking Changes

• Extensible coords / dataflow architecture  -  by @caelyreth (972a4)
• Align sparse stack with MLX-native execution  -  by @caelyreth (2590b)
• Route pooling through relation execution plan  -  by @caelyreth (d3d9e)
• Add relation views for fast sparse backward  -  by @caelyreth (dfff0)
• Pin to mlx 0.31.1 to resolve cuda deps issue  -  by @caelyreth (48607)
• Say goodbye to mlx cuda, night mare  -  by @caelyreth (b4726)

   Features

• Coordinate primitive + baseline kernels  -  by @caelyreth (11b13)
• Feature execution primitive spmm_edges  -  by @caelyreth (f0602)
• MLX flavour lazy graph architecture  -  by @caelyreth (68ad8)
• Neighborhood relations baseline implementation  -  by @caelyreth (e90a7)
• Quantization and voxelization baseline implementation  -  by @caelyreth (b5e3f)
• Target convolution baseline support  -  by @caelyreth (1e23e)
• Fp16 baseline across current backends  -  by @caelyreth (cd262)
• Point-voxel utilities complement  -  by @caelyreth (d1f7f)
• Quantized convolution inference  -  by @caelyreth (c3865)
• conv:
  • Add explicit submanifold relation path  -  by @caelyreth (d7f9f)
• coords:
  • Add morton ordering primitive  -  by @caelyreth (d640f)
  • Add occupancy expansion helpers  -  by @caelyreth (e4bb2)
• cuda:
  • Baseline implementation of cuda operations  -  by @caelyreth (2bdf9)
  • Baseline optim for relation + pool + conv specialist  -  by @caelyreth (ef623)
  • precompiled_cuda_kernel + ptx for mlx  -  by @caelyreth (23c6c)
• entropy:
  • Add native range codec  -  by @caelyreth (506e5)
• native:
  • Edge pooling reductions  -  by @caelyreth (49dfd)
  • Autograd for sparse SpMM and edge pooling  -  by @caelyreth (fc7f3)
  • Re-introduce native conv3d Metal baseline  -  by @caelyreth (85908)
• py:
  • Setup sparse tensor API stub  -  by @caelyreth (07a59)
  • Canonical map layer with spec + view split  -  by @caelyreth (cdbe4)
  • Convolution public API stubs  -  by @caelyreth (fbb14)
  • Pooling public API  -  by @caelyreth (61532)
  • Sparse feature ops  -  by @caelyreth (ab259)
  • Sparse nn wrappers  -  by @caelyreth (9d19b)
• relations:
  • Add neighbor feature gather helper  -  by @caelyreth (0b680)
• tensor:
  • Add mask pruning helper  -  by @caelyreth (a78c9)
  • Add value-aligned sparse algebra  -  by @caelyreth (61f28)

   Bug Fixes

• cuda:
  • Native build gate  -  by @caelyreth (888a8)
  • Add compatible layer for cuda encoder co-mlx  -  by @caelyreth (62d44)
  • Binding + linking issue  -  by @caelyreth (ab8f9)
  • Route relations through precompiled runtime  -  by @caelyreth (883ea)
  • Correct jvp call site  -  by @caelyreth (46096)
  • Correct jvp metadata related processing  -  by @caelyreth (e142a)

   Performance

• Csr style relation operation + hash path  -  by @caelyreth (f2a28)
• Use input-row relation views for backward  -  by @caelyreth (4bb20)
• cpu:
  • Unify coord hash to fnv-1a  -  by @caelyreth (04ff2)
  • Align relation building, transposed direct path, and hash  -  by @caelyreth (9b651)
  • Specialist conv impls for cpu  -  by @caelyreth (3f468)
• entropy:
  • Add direct probability rans codec  -  by @caelyreth (03347)
• exec:
  • Add relation-backed sparse conv feature primitive  -  by @caelyreth (1725d)
• metal:
  • Native implementation of coords operations  -  by @caelyreth (b0ad0)
  • Add native fast paths for sparse conv and pool  -  by @caelyreth (a1c2f)
  • Parallelize sparse conv relation planning  -  by @caelyreth (6b886)
  • Native hash table for convolution  -  by @caelyreth (45a92)
  • Accelerate cold kernel relation construction  -  by @caelyreth (71403)
  • Parallel neighbor relation path  -  by @caelyreth (e01e0)
  • Non-overlapping pooling hash based downsample  -  by @caelyreth (5e2b6)
  • Parallel autodiff on pooling  -  by @caelyreth (e49d4)
  • Parallel downsample + stabel compaction  -  by @caelyreth (35a0b)
  • Unified coordinate pipeline optimize for union, intersection, downsample, quantize, voxelization  -  by @caelyreth (0f53d)
  • Edge-wise vjp kernels for avg/sum pool  -  by @caelyreth (5c2ea)
  • Reuse voxel quantization maps in fixed workloads  -  by @caelyreth (39f3c)
  • Vectorize sparse conv feature paths  -  by @caelyreth (41e40)
  • Compact kernel relations without regressing pool hot paths  -  by @caelyreth (d1c23)
  • Implicit gemm style conv path on large N  -  by @caelyreth (5324a)
  • Global dweight optim by sharing edge traversal, etc.  -  by @caelyreth (f5967)
  • Parallelize stable coordinate compaction  -  by @caelyreth (f4684)
  • Tile large sparse conv weight gradients  -  by @caelyr...

v0.1.11

   Performance

• pool: Use row offsets for max pooling  -  by @utakotoba (6a2cc)

    View changes on GitHub