v0.8.0

What's Changed

• feat: add SGLang colocate plugin and colocate P2P transfer fixes by @dingzhiqiang in #112
• feat: support Qwen3-MoE weight conversion and dtype-only IPC grouping by @dingzhiqiang in #113

New Contributors

• @dingzhiqiang made their first contribution in #112

Full Changelog: v0.7.0...v0.8.0

v0.7.0

What's Changed

• fix: improve vLLM plugin compatibility and NCCL receive handling by @garrett4wade in #109

New Contributors

• @garrett4wade made their first contribution in #109

Full Changelog: v0.6.0...v0.7.0

v0.6.0

What's Changed

• fix:improve validate by @PrometheusComing in #108

Full Changelog: v0.5.0...v0.6.0

v0.5.0

What's Changed

• feat:suppot infer slice tensor at dim > 0 and optimize memory by @PrometheusComing in #106
• add validate() method to InferenceConfig by @alekseevpavel04 in #105

New Contributors

• @PrometheusComing made their first contribution in #106
• @alekseevpavel04 made their first contribution in #105

Full Changelog: v0.4.0...v0.5.0

v0.4.0

What's Changed

• feat: support mla and linear attention by @chaokunyang in #107

Full Changelog: v0.3.0...v0.4.0

v0.3.0

What's Changed

• feat: add vLLM/NPU integration and improve public integration readiness by @HwVanICI in #102
• Fix vllm engine name propagation in infer conf by @qianderekwang in #103
• feat: add auto release by @chaokunyang in #104

New Contributors

• @HwVanICI made their first contribution in #102
• @qianderekwang made their first contribution in #103

Full Changelog: v0.2.0...v0.3.0

v0.2.0

What's Changed

• doc: add rmda picture by @chaokunyang in #85
• fix: fix unfinished_ranks order by @chaokunyang in #93
• fix sglang expert sharding by @chaokunyang in #95
• fix: fix clone in group_tensors_by_shape_and_dtype by @chaokunyang in #98
• feat: check inter/train tp size by @chaokunyang in #99
• fix: fix badge height by @chaokunyang in #101

Full Changelog: v0.1.0...v0.2.0

v0.1.0

What's Changed

• feat: add basic util for meta server by @chaokunyang in #1
• feat: add meta server for weights meta exchange by @chaokunyang in #2
• test: add http meta server tests by @chaokunyang in #3
• feat: add util to create extra weight exchange nccl process group by @chaokunyang in #4
• feat: add util to check weights diff for weights validation by @chaokunyang in #5
• feat: add weights exchange statistics compute util by @chaokunyang in #6
• feat: add util to check train-infer weight meta consistency by @chaokunyang in #7
• feat: add setup_batch_isend_irecv util to setup nccl batch send/recv by @chaokunyang in #8
• feat: add rank info struct by @chaokunyang in #9
• feat: add sharding strategy by @chaokunyang in #10
• feat: add sglang sharding strategy by @chaokunyang in #11
• feat: add megatron sharding strategy by @chaokunyang in #12
• feat: add weight meta struct def by @chaokunyang in #13
• feat: add weight meta resolver to collect and build meta info for weights f… by @chaokunyang in #14
• feat: add infer meta resolver by @chaokunyang in #15
• feat: add training meta resolver by @chaokunyang in #16
• feat: add more utils for awex by @chaokunyang in #17
• feat: add megatron weight converter by @chaokunyang in #18
• feat: add sglang weight converter by @chaokunyang in #19
• feat: refine param sharding by @chaokunyang in #20
• refactor: move meta resolver to meta package by @chaokunyang in #21
• feat: add customize process group support by @chaokunyang in #22
• refactor: move common util to util package by @chaokunyang in #23
• fix: fix meta server test by @chaokunyang in #24
• fix: fix imports for meta package by @chaokunyang in #25
• fix: fix weights_converter by @chaokunyang in #26
• reaf: add model registry by @chaokunyang in #27
• feat: add basic gpu utils by @chaokunyang in #28
• feat: add basic system utils by @chaokunyang in #29
• chore: add transfer plan tests by @chaokunyang in #30
• feat: add weights writer by @chaokunyang in #31
• feat: add nccl weights writer by @chaokunyang in #32
• feat: add weights reader by @chaokunyang in #33
• feat: add nccl weights reader for separate mode by @chaokunyang in #34
• feat: add nccl weights reader for colocate mode by @chaokunyang in #35
• feat: add astate weights reader/writer by @chaokunyang in #36
• feat: add ling model support by @chaokunyang in #37
• refactor: make nccl transport stateful for future cuda graph opt by @chaokunyang in #38
• feat: add nccl concurrent batch transport with multi cuda stream by @chaokunyang in #39
• fix: fix cuda stream and clean code by @chaokunyang in #40
• feat: decouple train and infer dependency to run on different image by @chaokunyang in #41
• chore: add tensor utils test by @chaokunyang in #42
• chore: add weight utils test by @chaokunyang in #43
• feat: add infer config and use it instead of server args by @chaokunyang in #44
• feat: add tensor util by @chaokunyang in #46
• feat: add transfer plan by @chaokunyang in #47
• feat: add customized logging since sglang/mcore override logging by @chaokunyang in #48
• feat: add train/infer engine abstraction by @chaokunyang in #49
• feat: add sglang engine integration by @chaokunyang in #50
• feat: add megatron engine integration by @chaokunyang in #51
• chore: add more checks for execute_task_in_model_worker by @chaokunyang in #52
• chore: lint code by ruff by @chaokunyang in #53
• feat: add license header by @chaokunyang in #54
• refactor: rename backend to engine by @chaokunyang in #55
• refactor: refine config and engine API by @chaokunyang in #56
• chore: add meta resolver test by @chaokunyang in #57
• fix: fix rename hg_config by @chaokunyang in #58
• chore: add SimpleGPT and hf config for test by @chaokunyang in #59
• chore: add weight writer test by @chaokunyang in #60
• chore: add weight exchange integration test by @chaokunyang in #61
• chore: add missing license header by @chaokunyang in #62
• chore: convert huggingface model to megatron for tests by @chaokunyang in #63
• feat: use interleaved execution to optimize nccl colocate transport by @chaokunyang in #64
• chore: remove batch_isend_irecv for colocate mode by @chaokunyang in #65
• feat: support async isend/irecv for colocate mode by @chaokunyang in #66
• feat: add pull request template by @chaokunyang in #67
• chore: add code owner for pr review notify by @chaokunyang in #68
• feat: add github issue template by @chaokunyang in #69
• feat: add pyproject.toml build by @chaokunyang in #70
• refactor: move nccl ops build to nccl_comm by @chaokunyang in #71
• feat: refactor nccl comm and support qwen model by @chaokunyang in #72
• feat: add AGENTS.md to make ai coding more easy by @chaokunyang in #73
• doc: update readme with architecture picture by @chaokunyang in #74
• doc: add design doc by @chaokunyang in #75
• fix: fix meta resolver test by @chaokunyang in #76
• chore: lint code by ruff by @chaokunyang in #77
• chore: fix ruff error by @chaokunyang in #78
• chore: format markdown docs by @chaokunyang in #79
• chore: add lint ci by @chaokunyang in #80
• refactor: refine API and unify name style by @chaokunyang in #81
• fix: fix ci error by @chaokunyang in #82
• doc: add detailed design doc by @chaokunyang in #83
• doc: add slang execute_task_in_model_worker patch doc by @chaokunyang in #84

New Contributors

• @chaokunyang made their first contribution in #1

Full Changelog: https://github.com/inclusionAI/asystem-awex/commits/v0.1.0