| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
[pytorch][bugfix] delete the enable_high_availability feature during posttrain. Co-authored-by: yanzhixiao<yanzhixiao@h-partners.com> # message auto-generated for no-merge-commit merge: !3578 merge bugfix-master-1025 into master [pytorch][bugfix] delete the enable_high_availability feature during posttrain. Created-by: yanzhixiao23 Commit-by: yanzhixiao Merged-by: ascend-robot Description: [pytorch][sh] delete the enable_high_availability feature during posttrain. See merge request: Ascend/MindSpeed-LLM!3578 | 9 个月前 | |
style: solve cleancode Co-authored-by: LinShua<707894133@qq.com> # message auto-generated for no-merge-commit merge: !4368 merge 26.0.0_cleancode into 26.0.0 style: solve cleancode Created-by: LinShua Commit-by: LinShua Merged-by: ascend-robot Description: ## What this PR does / why we need it? solve cleancode. ## Does this PR introduce any user-facing change? NA. ## How was this patch tested? NA. See merge request: Ascend/MindSpeed-LLM!4368 | 4 个月前 | |
[pytorch][feature]model fine-tuning supports U-shaped split learning Co-authored-by: xuguoliang3<xuguoliang3@huawei.com> Co-authored-by: fangminghao<fangminghao@huawei.com> # message auto-generated for no-merge-commit merge: !4248 merge 20260225_perf into master [pytorch][feature]model fine-tuning supports U-shaped split learning Created-by: xuguoliang3 Commit-by: xuguoliang3;fangminghao Merged-by: ascend-robot Description: 1. 支持模型首尾层共卡部署（可支持PP的非均匀切分） 2. 新增权重转换脚本，支持权重正确切分及加载 3. 正确构建通信域，实现激活值/梯度传播，并正确训练 4. 支持仅首级流水处理训练样本，中间隐藏层不读取原始数据。 4. 支持计算通信掩盖，实现拉远收敛场景下算效损失小于3% See merge request: Ascend/MindSpeed-LLM!4248 | 5 个月前 | |
style: solve cleancode Co-authored-by: LinShua<707894133@qq.com> # message auto-generated for no-merge-commit merge: !4368 merge 26.0.0_cleancode into 26.0.0 style: solve cleancode Created-by: LinShua Commit-by: LinShua Merged-by: ascend-robot Description: ## What this PR does / why we need it? solve cleancode. ## Does this PR introduce any user-facing change? NA. ## How was this patch tested? NA. See merge request: Ascend/MindSpeed-LLM!4368 | 4 个月前 | |
| 1 年前 | ||
style: solve cleancode Co-authored-by: LinShua<707894133@qq.com> # message auto-generated for no-merge-commit merge: !4368 merge 26.0.0_cleancode into 26.0.0 style: solve cleancode Created-by: LinShua Commit-by: LinShua Merged-by: ascend-robot Description: ## What this PR does / why we need it? solve cleancode. ## Does this PR introduce any user-facing change? NA. ## How was this patch tested? NA. See merge request: Ascend/MindSpeed-LLM!4368 | 4 个月前 | |
| 1 年前 | ||
[pytorch][feature]model fine-tuning supports U-shaped split learning Co-authored-by: xuguoliang3<xuguoliang3@huawei.com> Co-authored-by: fangminghao<fangminghao@huawei.com> # message auto-generated for no-merge-commit merge: !4248 merge 20260225_perf into master [pytorch][feature]model fine-tuning supports U-shaped split learning Created-by: xuguoliang3 Commit-by: xuguoliang3;fangminghao Merged-by: ascend-robot Description: 1. 支持模型首尾层共卡部署（可支持PP的非均匀切分） 2. 新增权重转换脚本，支持权重正确切分及加载 3. 正确构建通信域，实现激活值/梯度传播，并正确训练 4. 支持仅首级流水处理训练样本，中间隐藏层不读取原始数据。 4. 支持计算通信掩盖，实现拉远收敛场景下算效损失小于3% See merge request: Ascend/MindSpeed-LLM!4248 | 5 个月前 | |
[pytorch][bugfix] fix bug in TND fine-tuning to enable mbs Co-authored-by: yanzhixiao<yanzhixiao@h-partners.com> # message auto-generated for no-merge-commit merge: !4226 merge bugfix-tune-tnd-mbs into master [pytorch][bugfix] fix bug in TND fine-tuning to enable mbs Created-by: yanzhixiao23 Commit-by: yanzhixiao Merged-by: ascend-robot Description: [pytorch][bugfix] fix the bug of fine-tuning the TND to enable mbs See merge request: Ascend/MindSpeed-LLM!4226 | 5 个月前 |