| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
decouple ModelRunner metrics from runtime capture & refine documentation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !291 merge codex/pr-282-review-fixes into develop decouple ModelRunner metrics from runtime capture & refine documentation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [ ] Feature（功能新增） - [x] Bugfix（Bug 修复） - [] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 - Fixed jgong5's concern about metrics depending on the entire Runtime. - Replied that the --device argument is required for adapter simulation/verification flows. - Replied that adapter Python files are product modules reused outside the skill, so they should remain under tensor_cast/adapter. ------ ## 📝 Modification / 修改内容 - Remove the full Runtime object from ModelRunnerMetrics. - Add an explicit runtime_observer hook to ModelRunner.run_inference. - Update adapter actual-summary collection to use the hook instead of reading metrics.runtime. - Keep --device in model_adapter because doctor/verify builds UserInputConfig and may run target-device simulation or verification. - Keep adapter automation modules under tensor_cast/adapter because they are reused by CLI and regression tests, not only by the skill. ------ ## 📐 Associated Test Results / 关联测试结果 - pytest tests/regression/tensor_cast/test_adapter_automation.py -q - 38 passed - python -m compileall -q tensor_cast/adapter tensor_cast/core/model_runner.py cli/inference/model_adapter.py - passed ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!291 | 22 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 | |
Add model adapter onboarding automation Co-authored-by: jhon-117<fangkai15@huawei.com> # message auto-generated for no-merge-commit merge: !282 merge codex/model-adaptation-efficiency-v2 into develop Add model adapter onboarding automation Created-by: jhon-117 Commit-by: jhon-117 Merged-by: ascend-robot Description: # PR Template Thanks for your contribution; we appreciate it a lot. The following instructions will make your pull request healthier and help you get feedback more easily. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers. 感谢您的贡献，我们非常重视。以下说明将使您的拉取请求更健康，更易于获得反馈。如果您不理解某些项目，请不要担心，只需提交拉取请求并从维护人员那里寻求帮助即可。 **PR Type / PR类型** - [x] Feature（功能新增） - [ ] Bugfix（Bug 修复） - [ ] Docs（文档更新） - [ ] CI/CD（持续集成/持续部署） - [ ] Refactor（代码重构） - [ ] Perf（性能优化） - [ ] Test-Cases（测试用例更新） - [ ] Other（其他） ## 🔍 Motivation / 变更动机 **Please describe the motivation of this PR and the goal you want to achieve through this PR.** **请描述您的拉取请求的动机和您希望通过此拉取请求实现的目标。** ------ ## 📝 Modification / 修改内容 本 PR 实现 TensorCast 新模型接入效率提升流程，围绕“用户只必须提供 raw Insight profiling 导出文件 + 对应仿真命令”的适配方式，补齐 doctor、evidence、patch discovery、profile draft、ST case 生成和 qwen3-vl replay 验证能力。 主要改动： 新增 tensor_cast.adapter 自动化模块： 仿真命令解析与 AdaptationContext raw MindStudio Insight profiling 解析 用户 hints 读取、冲突检测和 provenance profile candidate 生成与 review/validation evidence draft 生成与 verifier mismatch 分类 PatchReport、patch discovery、profile draft 渲染 ST guardrail case 生成 新增 CLI： python -m cli.inference.model_doctor python -m cli.inference.verify_model_profile model_doctor 支持： --from-command-file --raw-insight-file --hints-file --patch-failure-file --ignore-existing-profile --profile-draft-output 增强 qwen3-vl replay： 新增 tiny config-only fixture：tests/assets/model_config/qwen3_vl_tiny/config.json 支持在 --ignore-existing-profile qwen3_vl 下通过 installed transformers 源码发现 VL profile 字段 patch discovery 可基于 qwen3-vl placeholder/mask meta failure 生成 patch_method_for_qwen3_vl 草案 新增文档： docs/design/model_adaptation_efficiency_design.md docs/en/tensor_cast_new_model_adaptation.md 增强 runtime/transformations： 暴露 runtime summary 所需信息 记录 patch reports 支持 profile registry replay/audit ignore ------ ## 📐 Associated Test Results / 关联测试结果 pytest tests/test_tensor_cast/test_adapter_automation.py -q # 29 passed pytest tests/test_tensor_cast -k "adapter or doctor or evidence" -q # 29 passed python -m compileall -q tensor_cast/adapter cli/inference/model_doctor.py cli/inference/verify_model_profile.py cli/inference/adapter_cli.py tests/test_tensor_cast/test_adapter_automation.py # passed python -m cli.inference.model_doctor --help # passed python -m cli.inference.verify_model_profile --help # passed 额外 smoke： qwen3-vl tiny CLI replay smoke：通过 qwen3-vl patch code draft CLI smoke：通过 deepseek fixture doctor/replay smoke：通过，仅出现 fixture 自带 rope 参数 warning，不影响结果。 ------ ## 🌟 Use cases (Optional) / 使用案例（可选） **If this PR introduces a new feature, it is better to list some use cases here and update the documentation.** **如果此拉取请求引入了新功能，最好在此处列出一些用例并更新文档。** ------ ## ✅ Checklist / 检查列表 **Before PR**: - [ ] Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests. / 修复的 Bug 已完全由单元测试覆盖，导致 Bug 的情况应在单元测试中添加。 - [ ] The modification is covered by complete unit tests. If not, please add more unit tests to ensure the correctness. / 此拉取请求中的修改已完全由单元测试覆盖。如果不是，请添加更多单元测试以确保正确性。 - [ ] All relevant documentation (API docs, docstrings, example tutorials) has been updated to reflect these changes. / 所有相关文档（API 文档、文档字符串、示例教程）已更新以反映这些更改。 - [ ] Please ensure code files contain no Chinese comments. / 请保证代码文件中不含中文注释。 ------ See merge request: Ascend/msmodeling!282 | 23 天前 |
| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 23 天前 | ||
| 22 天前 | ||
| 23 天前 | ||
| 23 天前 |