v0.22.0-pre.3

What's Changed

• feat(vision): add color conversion and blurring transforms (#5339) @Charles23R
• chore!: remove deprecated burn-candle backend (#5343) @antimora
• chore: deprecate burn-ndarray backend (#5344) @antimora
• fix(reduce): return the identity for a zero-length axis, and reject the extrema (#5333) @robertomeroni
• Migrate to pliron (#5324) @wingertge
• fix(burn-cubecl): broadcast a size-1 dim against a zero-sized dim (#5335) @Yashiru
• refactor(nn): add functional batch_norm forward operation (#5347) @laggui
• fix(tests): batch_norm f16 tol (#5348) @laggui
• fix(ndarray): avoid invalidating in-flight handles in UnsafeSharedRef (#5346) @robertomeroni
• fix(tests): flex simd and rayon feature graph (#5350) @laggui
• Bump cubecl and cubek revs for the pliron codegen fixes (#5355) @nathanielsimard
• fix(flex): replace all remaining cases of function pointer passing (#5358) @laundmo
• fix(flex): make float_sign branchless so it compiles on Xtensa (#5331) @Bellman281
• perf(flex): reduce int cast codegen size (#5357) @laundmo
• chore: simplify cargo run-checks local validation (#5356) @laggui
• fix(dispatch): preserve autodiff device for non-float tensors (#5340) @tianrking
• fix(module): build LoRA factors under a persistent-allocation window (#5362) @nathanielsimard
• fix(module): build LoRA factors at an explicit dtype over a packed base (#5364) @nathanielsimard
• fix(module): preserve LoRA factor dtype when composing weights (#5365) @laggui
• fix(burn-tch): preserve parent storage through permute/swap_dims (#5376) @andoriyu
• perf(flex): collapse both operand layouts into a joint loop nest for broadcast binary ops (#5123) @Andy2887
• perf(flex): pooling impl optimization by rewriting inner kernel loop (#5361) @laundmo
• feat(tensor)!: expand TensorData conversion and access APIs (#5316) @crutcher @laggui
• fix(deps): update h2 transitive dep (#5381) @laggui
• fix(tensor): preserve dtype in padding operations (#5386) @laggui
• feat(quant)!: support two-level quantization scales (#5262) @ThierryCantin-Demers
• Update cube (#5389) @louisfd
• chore(ci): pin the shared actions to v11 (#5390) @ThierryCantin-Demers
• chore(ci): pin the publish workflow to v11 (#5391) @ThierryCantin-Demers
• feat(capture): add graph capture backend producing GraphIr (#5377) @laggui
• fix(fusion): reject a padded reference layout (#5395) @ThierryCantin-Demers
• chore: remove stale comment in root Cargo.toml (#5397) @ThierryCantin-Demers
• chore: tracel github actions v11 (#5398) @syl20bnr
• fix(flex): preserve non-finite padding semantics in conv (#5394) @tandede
• chore: fix clippy lints (#5401) @laggui
• chore(deps): update cubecl + cubek (#5403) @ThierryCantin-Demers
• feat(pack): stream tensors on demand when writing burnpack files (#5349) @antimora
• chore: update to xtask v5 (#5404) @syl20bnr
• fix!: address fusion and autodiff edge cases (#5400) @Charles23R @laggui @nathanielsimard
• perf(cubecl): reduce, don't pool, for a 1x1 adaptive average pool (#5405) @nathanielsimard
• fix(capture): preserve initializers across capture scopes (#5408) @laggui
• test(capture): update cross-device tensor movement contract (#5409) @laggui
• fix(metal): update cubecl rev for MSL capability detection (#5396) @laggui
• fix(nn): use mean reduction in group norm (#5410) @laggui
• Perf/fusion layout propagation (#5406) @nathanielsimard
• refactor(burn): route backend features through the dispatch chain (#5369) @laurigates
• fix(tests): correct FFT fixture and linalg tolerances (#5415) @laggui
• fix(vision): keep even filter2d output size (#5414) @Soundcreates
• fix(tensor): prevent softplus from overflowing to inf (#5374) @Mikyx-1
• Update/cube (#5420) @louisfd
• fix(cubecl): adapt matmul integration to cubek changes (#5421) @laggui
• perf(cubecl): compute a depthwise weight gradient in one kernel (#5422) @nathanielsimard
• perf(fusion): let a concatenation choose its own layout (#5417) @nathanielsimard
• perf(cubecl): cut a pointwise weight gradient's contraction (#5424) @nathanielsimard
• fix(tensor): validate TensorData byte length on deserialization (#5360) @robertomeroni
• chore: fix removed import (#5427) @laggui
• Let a caller install and read a device's memory pools (#5425) @nathanielsimard
• perf(conv): route strided pointwise convolutions through the matmul path (#5429) @ThierryCantin-Demers
• perf(cubecl): compute a dense weight gradient over the input's columns (#5428) @nathanielsimard
• refactor(store)!: replace TensorSnapshot with burn_pack::Tensor (#5411) @antimora