chore(main): release 0.2.0

[github-actions]

🤖 I have created a release beep boop

0.2.0 (2024-12-01)

Features

• add rotary_dim argument to rope APIs for partial apply rope (#599) (eb9bc71)
• add a use_softmax field in variant class (#533) (d81af97)
• add an option non_blocking to plan function (#622) (560af6f)
• add gemma_rmsnorm and gemma_fused_add_rmsnorm (#477) (1a6b17e)
• add group size 3 to GQA decode dispatch (#558) (6227562)
• allow the cascade kernels to be executed using varying sequence lenghts (#627) (92ac440)
• CUDAGraph compatibility of multi-level cascade inference APIs (#586) (2332e8a)
• fix the maximal grid dimension in prefill planning with CUDA graphs (#639) (86ca89a)
• improve the precision of the FusedAddRMSNormKernel function (#587) (c7dc921)
• JIT compilation (#507) (3613a5b)
• modify group-gemm stage number (#497) (52dab1d)
• non-contiguous query with paged kv cache (#553) (89f2c4a)
• pass a dynamic token count to the cascade kernels (#635) (5fe9f7d)
• simplify prefill JIT compilation (#605) (fe4f898)
• support cached cos/sin in rope APIs (#585) (83e541d)
• support huggingface transformer style rope interface (#568) (4f40420)
• support sm90 cutlass group gemm (#509) (794bdda)
• torch custom_op fix for rope (#569) (3e104bc)
• torch custom_op support: norm (#552) (f6e0010)
• torch.compile and custom_op support (#554) (9bf916f)
• warmup for jit kernel tests (#629) (8f5f349)

Bug Fixes

• AOT compiler flags on non-sm90 (#522) (0aa4726)
• batch decode kernel redundant store output to gmem (#505) (90e42a7)
• compatible with torch 2.2 (#478) (ac41d1b)
• SingleDecodeWithKVCache meets illegal memory access when setting input tensors to cuda:1 #452 (b53a46f)
• remove redundant load (#495) (2de16b0)
• update bmm fp8 test (#487) (45eac04)

Performance Improvements

• accelerate JIT compilation speed (#618) (eaf73fd)
• fix prefill kernel performance degradation (step 1) (#602) (595cf60)
• fix the performance issue of append_paged_kv_cache (#588) (e15f7c9)
• improve parallelism in RoPE with pos_ids (#609) (ff05155)
• improve plan performance by using non-blocking memcpy (#547) (41ebe6d)
• reduce the read and write of shared memory in the FusedAddRMSNormKernel (#592) (2043ca2)
• remove unnecessary contiguous operation in block sparse attention (#561) (7a7ad46)
• speedup jit compilation of prefill attention kernels (#632) (a059586)
• use cuda-core implemention for io-bound block-sparse attention (#560) (3fbf028)

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