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ascend-robotascend-robot[bugfix]Modify the description of the default loss calculation behavior for vlm_model
acdfb6d5创建于 2025年10月17日历史提交
文件最后提交记录最后更新时间
ae
!1384 [Feature] support lumina-mgpt2 model Merge pull request !1384 from meng-coding/master 9 个月前
audio
!1382 [Refactor] Adapt latest mindspeed Merge pull request !1382 from 王泽/latest012 8 个月前
common
[feature] qwen2.5vl support fsdp2 Co-authored-by: cxiaolong<2845907121@qq.com> # message auto-generated for no-merge-commit merge: merge master into master [feature] qwen2.5vl support fsdp2 Created-by: cxiaolong Commit-by: cxiaolong Merged-by: ascend-robot Description: ## Motivation Please describe the motivation of this PR and the goal you want to achieve through this PR. ## Modification Please briefly describe what modification is made in this PR. ## Self-test (Optional) If modifications to this PR may cause/fix function/accuracy/performance DTSs/issues, a self-inspection record needs to be attached. ## BC-breaking (Optional) If there are compatibility issues, such as dependencies on cann/torch_npu versions, they need to be explained in the PR. ## Checklist **Before PR**: - [x] The new code needs to comply with the Clean Code specification. - [x] The PR content is self-checked, and the expression can be clear and the writing standardized **After PR**: - [x] CLA has been signed and all committers have signed the CLA in this PR. - [x] The ci-pipeline is passed, Code Check is passed. See merge request: Ascend/MindSpeed-MM!15258 个月前
diffusion
!1351 [Feature] support wan2.2 A14B Merge pull request !1351 from liyingxuan/master 9 个月前
predictor
!1403 [Bugfix] Bugfix for model parallel utils import Merge pull request !1403 from 王泽/hybrid_cp 9 个月前
text_decoder
!1049 [Refactor]adapt mindspeed012 Merge pull request !1049 from 王泽/adapt012 10 个月前
text_encoder
!1384 [Feature] support lumina-mgpt2 model Merge pull request !1384 from meng-coding/master 9 个月前
vision
[Feature] Support canonical layer training in videoalign Co-authored-by: chenpeizhe<chenpeizhe1@huawei.com> # message auto-generated for no-merge-commit merge: merge master into master [Feature] Support canonical layer training in videoalign Created-by: chenpeizhe Commit-by: chenpeizhe Merged-by: ascend-robot Description: ## Motivation Support qwen2vl canonical model (same as transformers) in videoalign training. ## Modification Support qwen2vl canonical model (same as transformers) in videoalign training for accuracy mode. ## Self-test (Optional) If modifications to this PR may cause/fix function/accuracy/performance DTSs/issues, a self-inspection record needs to be attached. ## BC-breaking (Optional) If there are compatibility issues, such as dependencies on cann/torch_npu versions, they need to be explained in the PR. ## Checklist **Before PR**: - [x] The new code needs to comply with the Clean Code specification. - [x] The PR content is self-checked, and the expression can be clear and the writing standardized **After PR**: - [x] CLA has been signed and all committers have signed the CLA in this PR. - [x] The ci-pipeline is passed, Code Check is passed. See merge request: Ascend/MindSpeed-MM!15118 个月前
whisper
!1321 [Bugfix] import dependency isolation. Merge pull request !1321 from zs-Derrick/master 10 个月前
__init__.py
!1321 [Bugfix] import dependency isolation. Merge pull request !1321 from zs-Derrick/master 10 个月前
deepseekvl_model.py
!1124 [Bugfix]Modify code following CleanCode standards Merge pull request !1124 from 陆劲夫/master 11 个月前
internvl_model.py
!1368 [Bugfix] bugfix for dist-train with core 0.12.1 Merge pull request !1368 from 王泽/012disttrain 9 个月前
lumina_model.py
!1384 [Feature] support lumina-mgpt2 model Merge pull request !1384 from meng-coding/master 9 个月前
qwen2vl_model.py
!1049 [Refactor]adapt mindspeed012 Merge pull request !1049 from 王泽/adapt012 10 个月前
reward_model.py
[Feature] Support canonical layer training in videoalign Co-authored-by: chenpeizhe<chenpeizhe1@huawei.com> # message auto-generated for no-merge-commit merge: merge master into master [Feature] Support canonical layer training in videoalign Created-by: chenpeizhe Commit-by: chenpeizhe Merged-by: ascend-robot Description: ## Motivation Support qwen2vl canonical model (same as transformers) in videoalign training. ## Modification Support qwen2vl canonical model (same as transformers) in videoalign training for accuracy mode. ## Self-test (Optional) If modifications to this PR may cause/fix function/accuracy/performance DTSs/issues, a self-inspection record needs to be attached. ## BC-breaking (Optional) If there are compatibility issues, such as dependencies on cann/torch_npu versions, they need to be explained in the PR. ## Checklist **Before PR**: - [x] The new code needs to comply with the Clean Code specification. - [x] The PR content is self-checked, and the expression can be clear and the writing standardized **After PR**: - [x] CLA has been signed and all committers have signed the CLA in this PR. - [x] The ci-pipeline is passed, Code Check is passed. See merge request: Ascend/MindSpeed-MM!15118 个月前
sd_model.py
!259 【特性】OpenSoraPlan 1.3 添加 I2V 训练 Merge pull request !259 from zzztq/master 1 年前
sora_model.py
!1368 [Bugfix] bugfix for dist-train with core 0.12.1 Merge pull request !1368 from 王泽/012disttrain 9 个月前
vl_model.py
!779 【规范】cleancode规范 Merge pull request !779 from 陆劲夫/master 1 年前
vlm_model.py
[bugfix]Modify the description of the default loss calculation behavior for vlm_model Co-authored-by: MoCuishle-M<1656631289@qq.com> # message auto-generated for no-merge-commit merge: !1609 merge 2.2.0 into 2.2.0 [bugfix]Modify the description of the default loss calculation behavior for vlm_model Created-by: MoCuishle-M Commit-by: MoCuishle-M Merged-by: ascend-robot Description: ## Motivation Modify the description of the default loss calculation behavior for vlm_model. ## Modification Modify the description of the default loss calculation behavior for vlm_model. ## Self-test (Optional) If modifications to this PR may cause/fix function/accuracy/performance DTSs/issues, a self-inspection record needs to be attached. ## BC-breaking (Optional) If there are compatibility issues, such as dependencies on cann/torch_npu versions, they need to be explained in the PR. ## Checklist **Before PR**: - [ ] The new code needs to comply with the Clean Code specification. - [ ] The PR content is self-checked, and the expression can be clear and the writing standardized **After PR**: - [ ] CLA has been signed and all committers have signed the CLA in this PR. - [ ] The ci-pipeline is passed, Code Check is passed. See merge request: Ascend/MindSpeed-MM!16097 个月前