master

ascend-robotrefactor(moe): decouple GMM context from autograd Function ctx with GmmContext

a194416d创建于 7 天前历史提交

文件	最后提交记录	最后更新时间
pyproject.toml	refactor(moe): decouple GMM context from autograd Function ctx with GmmContext Co-authored-by: Muu<koimuu@163.com> # message auto-generated for no-merge-commit merge: !3495 merge dev into master refactor(moe): decouple GMM context from autograd Function ctx with GmmContext Created-by: Muuyo Commit-by: Muu Merged-by: ascend-robot Description: 1. Tensorwise GMM x, grad 采用 pertensor 量化, weight 采用 pertoken(按n轴分组tensor量化)量化 2. fix mlp overlap 多参数采用同一个gmm ctx 3. GMM Function op_dw 添加ctx参数 [自验文档](https://wiki.huawei.com/domains/76578/wiki/233229/WIKI2026052611220020) See merge request: Ascend/MindSpeed!3495	7 天前
typos.toml	docs: add directory structure doc, contribution guide and license docs Co-authored-by: fanlu5<fanlu5@huawei.com> # message auto-generated for no-merge-commit merge: !3485 merge master into master docs: add directory structure doc, contribution guide and license docs Created-by: fanlu5 Commit-by: fanlu5 Merged-by: ascend-robot Description: What this PR does / why we need it? https://gitcode.com/Ascend/MindSpeed/issues/146 docs: add directory structure doc, contribution guide and license docs 1. add project directory structure documentation 2. add CONTRIBUTING.md contribution guide 3. add CC-BY 4.0 license for docs directory 4. update README with new sections including directory structure, contribution guide and license info Does this PR introduce any user-facing change? NA How was this patch tested? NA See merge request: Ascend/MindSpeed!3485	14 天前