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ascend-robotascend-robotdocs: add docs for model fine-tuning supports time division multiplexing of DP on PP0
9b159fa9创建于 1 天前历史提交
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layerwise_disaggregated_training.png
[Docs] add feature doc layerwise_disaggregated_training.md Co-authored-by: f00620112<fangminghao@huawei.com> # message auto-generated for no-merge-commit merge: !2357 merge 20260402_bugfix into master [Docs] add feature doc layerwise_disaggregated_training.md Created-by: fangminghao Commit-by: f00620112 Merged-by: ascend-robot Description: ## What this PR does / why we need it? 新增了边云协同特性的简介和使用说明文档。 边云协同特性PR：https://gitcode.com/Ascend/MindSpeed-MM/pull/2278 ## Does this PR introduce any user-facing change? Please describe whether the PR will result in any user-facing usage changes. If there is related documentation, please specify its path. ## How was this patch tested? Please explain how to verify the correctness and effectiveness of this feature, as well as its usage constraints and limitations. See merge request: Ascend/MindSpeed-MM!23571 个月前
ldt_dp.png
docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 Co-authored-by: xuguoliang3<xuguoliang3@huawei.com> # message auto-generated for no-merge-commit merge: !2529 merge 20260519_iter6_doc into master docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 Created-by: xuguoliang3 Commit-by: xuguoliang3 Merged-by: ascend-robot Description: [[Roadmap] MindSpeed-MM Roadmap 2026 Q1](https://gitcode.com/Ascend/MindSpeed-MM/issues/176) ## What this PR does / why we need it? docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 ## Does this PR introduce any user-facing change? Please describe whether the PR will result in any user-facing usage changes. If there is related documentation, please specify its path. ## How was this patch tested? Please explain how to verify the correctness and effectiveness of this feature, as well as its usage constraints and limitations. See merge request: Ascend/MindSpeed-MM!25291 天前
ldt_tp.png
docs(pytorch): add feature doc VTP to layerwise_disaggregated_training.md Co-authored-by: yanzhenghao<yanzhenghao2@huawei.com> Co-authored-by: f00620112<fangminghao@huawei.com> # message auto-generated for no-merge-commit merge: !2421 merge 20260420-doc into master docs(pytorch): add feature doc VTP to layerwise_disaggregated_training.md Created-by: yanzhenghao Commit-by: f00620112;yanzhenghao Merged-by: ascend-robot Description: https://gitcode.com/Ascend/MindSpeed-MM/issues/176 ## What this PR does / why we need it? Add VTP feature doc to layerwise_disaggregated_training.md. Describe the details of the VTP use stage and the training method. ## Does this PR introduce any user-facing change? Please describe whether the PR will result in any user-facing usage changes. If there is related documentation, please specify its path. ## How was this patch tested? Please explain how to verify the correctness and effectiveness of this feature, as well as its usage constraints and limitations. See merge request: Ascend/MindSpeed-MM!242122 天前
ldt_vdp.png
docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 Co-authored-by: xuguoliang3<xuguoliang3@huawei.com> # message auto-generated for no-merge-commit merge: !2529 merge 20260519_iter6_doc into master docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 Created-by: xuguoliang3 Commit-by: xuguoliang3 Merged-by: ascend-robot Description: [[Roadmap] MindSpeed-MM Roadmap 2026 Q1](https://gitcode.com/Ascend/MindSpeed-MM/issues/176) ## What this PR does / why we need it? docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 ## Does this PR introduce any user-facing change? Please describe whether the PR will result in any user-facing usage changes. If there is related documentation, please specify its path. ## How was this patch tested? Please explain how to verify the correctness and effectiveness of this feature, as well as its usage constraints and limitations. See merge request: Ascend/MindSpeed-MM!25291 天前
ldt_vdp_gen_ranks.png
docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 Co-authored-by: xuguoliang3<xuguoliang3@huawei.com> # message auto-generated for no-merge-commit merge: !2529 merge 20260519_iter6_doc into master docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 Created-by: xuguoliang3 Commit-by: xuguoliang3 Merged-by: ascend-robot Description: [[Roadmap] MindSpeed-MM Roadmap 2026 Q1](https://gitcode.com/Ascend/MindSpeed-MM/issues/176) ## What this PR does / why we need it? docs: add docs for model fine-tuning supports time division multiplexing of DP on PP0 ## Does this PR introduce any user-facing change? Please describe whether the PR will result in any user-facing usage changes. If there is related documentation, please specify its path. ## How was this patch tested? Please explain how to verify the correctness and effectiveness of this feature, as well as its usage constraints and limitations. See merge request: Ascend/MindSpeed-MM!25291 天前
ldt_vtp.png
docs(pytorch): add feature doc VTP to layerwise_disaggregated_training.md Co-authored-by: yanzhenghao<yanzhenghao2@huawei.com> Co-authored-by: f00620112<fangminghao@huawei.com> # message auto-generated for no-merge-commit merge: !2421 merge 20260420-doc into master docs(pytorch): add feature doc VTP to layerwise_disaggregated_training.md Created-by: yanzhenghao Commit-by: f00620112;yanzhenghao Merged-by: ascend-robot Description: https://gitcode.com/Ascend/MindSpeed-MM/issues/176 ## What this PR does / why we need it? Add VTP feature doc to layerwise_disaggregated_training.md. Describe the details of the VTP use stage and the training method. ## Does this PR introduce any user-facing change? Please describe whether the PR will result in any user-facing usage changes. If there is related documentation, please specify its path. ## How was this patch tested? Please explain how to verify the correctness and effectiveness of this feature, as well as its usage constraints and limitations. See merge request: Ascend/MindSpeed-MM!242122 天前
pipeline_chart.png
[Docs] add feature doc layerwise_disaggregated_training.md Co-authored-by: f00620112<fangminghao@huawei.com> # message auto-generated for no-merge-commit merge: !2357 merge 20260402_bugfix into master [Docs] add feature doc layerwise_disaggregated_training.md Created-by: fangminghao Commit-by: f00620112 Merged-by: ascend-robot Description: ## What this PR does / why we need it? 新增了边云协同特性的简介和使用说明文档。 边云协同特性PR：https://gitcode.com/Ascend/MindSpeed-MM/pull/2278 ## Does this PR introduce any user-facing change? Please describe whether the PR will result in any user-facing usage changes. If there is related documentation, please specify its path. ## How was this patch tested? Please explain how to verify the correctness and effectiveness of this feature, as well as its usage constraints and limitations. See merge request: Ascend/MindSpeed-MM!23571 个月前