Yyangzhenzhang02chore: purge MindSpore residue after backend removal
| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
chore: purge MindSpore residue after backend removal The platform abstraction layer (and with it the MindSpore backend) was deleted earlier, but references to it survived throughout the tree. This removes them; it changes no behavior on the surviving Torch path. Removed: - docker/Dockerfile.mindspore, the MindSpore build branch and examples in docker/build_hyper-parallel_npu.sh / docker/README.md - .jenkins/test/config/dependent_packages.yaml (a single MindSpore wheel URL with no remaining consumer) - MindSporeCase in tests/common/parallel_case.py and msrun_case in tests/common/distributed_launcher.py, plus msrun / MS_NODE_ID rank-discovery fallbacks - dead _MS_PRIMITIVE_OP_NAMES branches in the shard ops (none of those op names are registered in any yaml) and their tests - the stale aclop packed-args notes in parallel_elementwise.py / parallel_gather.py (_normalize_aclop_args no longer exists) - three pylint errors the Atomgit gate reports on files this commit already touches: an unused os import in _pytorch_reference.py, a missing docstring on NoAcceleratorGuard._check_init_process_group and trailing blank lines in test_parallel_topk.py - mindspore from the multicore boundary test, pylint's generated-members, from the autogit lint backend list and from the docs, examples and .agent rules Kept on purpose: - _MS_POSITIONAL_DTYPE_OP_NAMES in parallel_reduce.py — SumExt / MeanExt are live torch registrations in torch_reduce.yaml, so the trailing positional dtype slot is still reachable - test_runtime_sources_import_no_platform_layer — the boundary test still asserts production sources import no Platform layer - URLs under the project's own mindspore.org / gitcode / atomgit namespaces, including the links to the MindSpore repo's contribution rules - hyper_parallel_v1.0.0_release_notes.md (historical) | 4 天前 | |
chore: purge MindSpore residue after backend removal The platform abstraction layer (and with it the MindSpore backend) was deleted earlier, but references to it survived throughout the tree. This removes them; it changes no behavior on the surviving Torch path. Removed: - docker/Dockerfile.mindspore, the MindSpore build branch and examples in docker/build_hyper-parallel_npu.sh / docker/README.md - .jenkins/test/config/dependent_packages.yaml (a single MindSpore wheel URL with no remaining consumer) - MindSporeCase in tests/common/parallel_case.py and msrun_case in tests/common/distributed_launcher.py, plus msrun / MS_NODE_ID rank-discovery fallbacks - dead _MS_PRIMITIVE_OP_NAMES branches in the shard ops (none of those op names are registered in any yaml) and their tests - the stale aclop packed-args notes in parallel_elementwise.py / parallel_gather.py (_normalize_aclop_args no longer exists) - three pylint errors the Atomgit gate reports on files this commit already touches: an unused os import in _pytorch_reference.py, a missing docstring on NoAcceleratorGuard._check_init_process_group and trailing blank lines in test_parallel_topk.py - mindspore from the multicore boundary test, pylint's generated-members, from the autogit lint backend list and from the docs, examples and .agent rules Kept on purpose: - _MS_POSITIONAL_DTYPE_OP_NAMES in parallel_reduce.py — SumExt / MeanExt are live torch registrations in torch_reduce.yaml, so the trailing positional dtype slot is still reachable - test_runtime_sources_import_no_platform_layer — the boundary test still asserts production sources import no Platform layer - URLs under the project's own mindspore.org / gitcode / atomgit namespaces, including the links to the MindSpore repo's contribution rules - hyper_parallel_v1.0.0_release_notes.md (historical) | 4 天前 | |
refactor: 去除 platform 抽象，改用 torch 原生接口 删除 hyper_parallel/platform/ 整个双后端抽象层，相关实现直接使用 torch 原生接口；仅保留的 Torch-only 组件迁至 components/。 主要变更： - 删除 hyper_parallel/platform/**（mindspore 后端、platform.py、 swap_optimizer、activation_checkpoint、loss_parallel_ops、 function_override、init_weights 等） - hyper_parallel/platform/torch/common/moe.py 重命名至 hyper_parallel/components/modules/moe.py（内容不变），并同步更新 examples/torch、tests/torch、核心模块中的 20 余处 import - hyper_parallel/__init__.py 移除 get_platform 导出 - destroy_process_group 中 _P2P_MULTI_STREAM_GROUPS 改从 hyper_parallel.core.pipeline_parallel._p2p 导入 - 删除 examples/mindspore/**、tests/ut/platform/** - scripts/pylint_hyperparallel.py：PLATFORM_ALLOWED_PARTS 移除 hyper_parallel/platform/；删除 instance-platform-assignment (C9003) 规则 - 更新 .agent 规则、docs、docker、CODEOWNERS 等配套内容 327 files changed, 648 insertions(+), 20321 deletions(-) | 8 天前 | |
chore: purge MindSpore residue after backend removal The platform abstraction layer (and with it the MindSpore backend) was deleted earlier, but references to it survived throughout the tree. This removes them; it changes no behavior on the surviving Torch path. Removed: - docker/Dockerfile.mindspore, the MindSpore build branch and examples in docker/build_hyper-parallel_npu.sh / docker/README.md - .jenkins/test/config/dependent_packages.yaml (a single MindSpore wheel URL with no remaining consumer) - MindSporeCase in tests/common/parallel_case.py and msrun_case in tests/common/distributed_launcher.py, plus msrun / MS_NODE_ID rank-discovery fallbacks - dead _MS_PRIMITIVE_OP_NAMES branches in the shard ops (none of those op names are registered in any yaml) and their tests - the stale aclop packed-args notes in parallel_elementwise.py / parallel_gather.py (_normalize_aclop_args no longer exists) - three pylint errors the Atomgit gate reports on files this commit already touches: an unused os import in _pytorch_reference.py, a missing docstring on NoAcceleratorGuard._check_init_process_group and trailing blank lines in test_parallel_topk.py - mindspore from the multicore boundary test, pylint's generated-members, from the autogit lint backend list and from the docs, examples and .agent rules Kept on purpose: - _MS_POSITIONAL_DTYPE_OP_NAMES in parallel_reduce.py — SumExt / MeanExt are live torch registrations in torch_reduce.yaml, so the trailing positional dtype slot is still reachable - test_runtime_sources_import_no_platform_layer — the boundary test still asserts production sources import no Platform layer - URLs under the project's own mindspore.org / gitcode / atomgit namespaces, including the links to the MindSpore repo's contribution rules - hyper_parallel_v1.0.0_release_notes.md (historical) | 4 天前 | |
docs(agent): finish #321 P0 rules cleanup and catalog drift fixes Move unit-test how-to into add-unit-test skill, unify runner vs unittest authoring, SoT links for distributed/assertions/commits, document hooks harness, add AGENTS catalog check, and enforce it in autogit check / autogit commit. | 1 个月前 | |
chore: purge MindSpore residue after backend removal The platform abstraction layer (and with it the MindSpore backend) was deleted earlier, but references to it survived throughout the tree. This removes them; it changes no behavior on the surviving Torch path. Removed: - docker/Dockerfile.mindspore, the MindSpore build branch and examples in docker/build_hyper-parallel_npu.sh / docker/README.md - .jenkins/test/config/dependent_packages.yaml (a single MindSpore wheel URL with no remaining consumer) - MindSporeCase in tests/common/parallel_case.py and msrun_case in tests/common/distributed_launcher.py, plus msrun / MS_NODE_ID rank-discovery fallbacks - dead _MS_PRIMITIVE_OP_NAMES branches in the shard ops (none of those op names are registered in any yaml) and their tests - the stale aclop packed-args notes in parallel_elementwise.py / parallel_gather.py (_normalize_aclop_args no longer exists) - three pylint errors the Atomgit gate reports on files this commit already touches: an unused os import in _pytorch_reference.py, a missing docstring on NoAcceleratorGuard._check_init_process_group and trailing blank lines in test_parallel_topk.py - mindspore from the multicore boundary test, pylint's generated-members, from the autogit lint backend list and from the docs, examples and .agent rules Kept on purpose: - _MS_POSITIONAL_DTYPE_OP_NAMES in parallel_reduce.py — SumExt / MeanExt are live torch registrations in torch_reduce.yaml, so the trailing positional dtype slot is still reachable - test_runtime_sources_import_no_platform_layer — the boundary test still asserts production sources import no Platform layer - URLs under the project's own mindspore.org / gitcode / atomgit namespaces, including the links to the MindSpore repo's contribution rules - hyper_parallel_v1.0.0_release_notes.md (historical) | 4 天前 | |
chore: make agent tooling assistant-agnostic for any AI coding assistant Make the in-repo agent tooling work with any AI coding assistant instead of being tied to a specific vendor, so contributors can use whichever assistant they prefer. | 3 个月前 |