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| module | lgtm status | approve status |
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| test | ✅ 陈豪, 王朝 (2/2) | ✅ 陈豪, 王朝 (2/1) |
| torch_npu/contrib/transfer_to_npu.py | ✅ 王朝, 陈豪 (2/2) | ✅ 王朝, 陈豪 (2/1) |
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当前仓库存在以下 保护分支 :
| Protected Branch | Version | Release |
|---|---|---|
| master | ||
| v2.7.1-26.1.0 | ||
| v2.9.0-26.1.0 | ||
| v2.10.0-26.1.0 | ||
| v2.11.0-26.1.0 | ||
| v2.12.0-26.1.0 | ||
| v2.7.1 | ||
| v2.9.0 | ||
| v2.10.0 | ||
| v2.12.0 | ||
| v2.11.0 | ||
| ci-test |
评论 /sync <branch1> <branch2> ... 可将当前 PR 修改同步到其它分支(创建同步 PR):
a) 如果当前 PR 是 Open 状态,同步操作将延迟到 PR 被合并时执行
b) 如果当前 PR 已经 Merged,将立即执行同步操作
注意:
- /sync 命令可以指定同步到多个分支,仅最后一个 /sync 命令生效
- 如果创建的同步 PR 不正确,可通过向同步 PR 的源分支提交轻量级 PR 完善,或使用 /close 命令关闭


ascend docs pipeline is running...


✅ 跳过 docs ci 检查,没有需要检查的文档文件


| 阶段 | 任务名 | 状态 | 详情 |
|---|---|---|---|
| 编译构建 | Build_X86 | ✅ | >>> |
| Build_ARM | ✅ | >>> | |
| Build_LibTorch_x86 | ✅ | >>> | |
| Build_LibTorch_ARM | ✅ | >>> | |
| Build_X86_torchair | 🛑 | >>> | |
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| patch_test | 🛑 | >>> | |
| 恶意代码检查 | Antipoison | ✅ | >>> |
| 编码安全与规范检查 | CodeCheck | ✅ | >>> |
| check_error | ✅ | >>> | |
| CodeCheck_lintrunner | ✅ | >>> | |
| 开源片段检查 | SCA | ✅ | >>> |
| 开发者测试 | UT_X86_Part_01 | 🛑 | >>> |
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| UT_ARM_A3_Part_01 | 🛑 | >>> | |
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| UT_inductor_Part_01 | 🛑 | >>> | |
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| UT_DIST_ARM_Part_01 | 🛑 | >>> | |
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| UT_DIST_ARM_Part_03 | 🛑 | >>> | |
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| UT_ARM_A2_Select_Part_01 | ✅ | >>> | |
| UT_ARM_A2_Select_Part_02 | ✅ | >>> | |
| 流水线 | PR-pipeline_pytorch | ✅ | >>> |
- compile、compile_inductor、compile_torchair : 运行流水线
- retry : 重试流水线所有失败子任务
- retry <任务名> : 仅重试指定失败子任务
- stop : 停止流水线


ascend docs pipeline is running...


✅ 跳过 docs ci 检查,没有需要检查的文档文件


compile


ascend docs pipeline is running...


✅ 跳过 docs ci 检查,没有需要检查的文档文件


| 阶段 | 任务名 | 状态 | 详情 |
|---|---|---|---|
| 编译构建 | Build_X86 | ✅ | >>> |
| Build_ARM | ✅ | >>> | |
| Build_LibTorch_x86 | ✅ | >>> | |
| Build_LibTorch_ARM | ✅ | >>> | |
| Build_X86_torchair | 🛑 | >>> | |
| Build_ARM_torchair | 🛑 | >>> | |
| patch_test | 🛑 | >>> | |
| 恶意代码检查 | Antipoison | ✅ | >>> |
| 编码安全与规范检查 | CodeCheck | ✅ | >>> |
| check_error | ✅ | >>> | |
| CodeCheck_lintrunner | ✅ | >>> | |
| 开源片段检查 | SCA | ✅ | >>> |
| 开发者测试 | UT_X86_Part_01 | 🛑 | >>> |
| UT_X86_Part_02 | 🛑 | >>> | |
| UT_ARM_A3_Part_01 | 🛑 | >>> | |
| UT_ARM_A3_Part_02 | 🛑 | >>> | |
| UT_ARM_A2_Part_01 | ✅ | >>> | |
| UT_ARM_A2_Part_02 | ✅ | >>> | |
| UT_ARM_A2_Part_03 | ✅ | >>> | |
| UT_inductor_Part_01 | 🛑 | >>> | |
| UT_inductor_Part_02 | 🛑 | >>> | |
| UT_inductor_Part_03 | 🛑 | >>> | |
| UT_inductor_Part_04 | 🛑 | >>> | |
| UT_DIST_ARM_Part_01 | 🛑 | >>> | |
| UT_DIST_ARM_Part_02 | 🛑 | >>> | |
| UT_DIST_ARM_Part_03 | 🛑 | >>> | |
| UT_DIST_ARM_Part_04 | 🛑 | >>> | |
| UT_ARM_A2_Select_Part_01 | ✅ | >>> | |
| UT_ARM_A2_Select_Part_02 | ✅ | >>> | |
| 流水线 | PR-pipeline_pytorch | ✅ | >>> |
- compile、compile_inductor、compile_torchair : 运行流水线
- retry : 重试流水线所有失败子任务
- retry <任务名> : 仅重试指定失败子任务
- stop : 停止流水线


| 阶段 | 任务名 | 状态 | 详情 |
|---|---|---|---|
| 编译构建 | Build_X86 | ✅ | >>> |
| Build_ARM | ✅ | >>> | |
| Build_LibTorch_x86 | ✅ | >>> | |
| Build_LibTorch_ARM | ✅ | >>> | |
| Build_X86_torchair | 🛑 | >>> | |
| Build_ARM_torchair | 🛑 | >>> | |
| patch_test | 🛑 | >>> | |
| 恶意代码检查 | Antipoison | ✅ | >>> |
| 编码安全与规范检查 | CodeCheck | ✅ | >>> |
| check_error | ✅ | >>> | |
| CodeCheck_lintrunner | ✅ | >>> | |
| 开源片段检查 | SCA | ✅ | >>> |
| 开发者测试 | UT_X86_Part_01 | 🛑 | >>> |
| UT_X86_Part_02 | 🛑 | >>> | |
| UT_ARM_A3_Part_01 | 🛑 | >>> | |
| UT_ARM_A3_Part_02 | 🛑 | >>> | |
| UT_ARM_A2_Part_01 | ✅ | >>> | |
| UT_ARM_A2_Part_02 | ✅ | >>> | |
| UT_ARM_A2_Part_03 | ✅ | >>> | |
| UT_inductor_Part_01 | 🛑 | >>> | |
| UT_inductor_Part_02 | 🛑 | >>> | |
| UT_inductor_Part_03 | 🛑 | >>> | |
| UT_inductor_Part_04 | 🛑 | >>> | |
| UT_DIST_ARM_Part_01 | 🛑 | >>> | |
| UT_DIST_ARM_Part_02 | 🛑 | >>> | |
| UT_DIST_ARM_Part_03 | 🛑 | >>> | |
| UT_DIST_ARM_Part_04 | 🛑 | >>> | |
| UT_ARM_A2_Select_Part_01 | ✅ | >>> | |
| UT_ARM_A2_Select_Part_02 | ✅ | >>> | |
| 流水线 | PR-pipeline_pytorch | ✅ | >>> |
- compile、compile_inductor、compile_torchair : 运行流水线
- retry : 重试流水线所有失败子任务
- retry <任务名> : 仅重试指定失败子任务
- stop : 停止流水线


/approve


/approve




【合入来源】
https://gitcode.com/Ascend/pytorch/issues/1583
【修改方案】
问题: _wrapper_cuda 和 _patch_nametuple 对 device_ids 只处理了 list 类型,tuple 类型会被跳过,cuda→npu 替换不生效。
修复: 在两处各新增 elif isinstance(device_ids, tuple) 分支,将 tuple 转 list 做替换后再转回 tuple 写回 kwargs。同时将 type() is list 改为 isinstance() ,并修复局部变量未回写 kwargs 的 bug。
【资料变更】
不涉及
【接口变更】
不涉及
【功能验证】
【CheckList】