fsdp_change_prefetch_unshard

changzherui1feat(dmodule): add M1 declarative Configurable and Module layer

0296966a创建于 5月26日历史提交

文件	最后提交记录	最后更新时间
__init__.py	feat(dmodule): add M1 declarative Configurable and Module layer Introduce Configurable in hyper_parallel/config/ and declarative Module, BaseModel, ShardingConfig, and ModelSpec under hyper_parallel.dmodule. ModelSpec supports Config-based registration alongside legacy build_model_fn. Module.parallelize applies DTensor sharding on a single DeviceMesh; local_map is deferred to M9. Expand Google-style docstrings with usage examples; add resolve_placements unit tests (case sensitivity, empty mesh, Partial). Add tests/ut/dmodule and dist_module parallelize coverage without wiring the new path into LLMTrainer or package __init__ exports.	5 个月前
model.py	feat(dmodule): add M1 declarative Configurable and Module layer Introduce Configurable in hyper_parallel/config/ and declarative Module, BaseModel, ShardingConfig, and ModelSpec under hyper_parallel.dmodule. ModelSpec supports Config-based registration alongside legacy build_model_fn. Module.parallelize applies DTensor sharding on a single DeviceMesh; local_map is deferred to M9. Expand Google-style docstrings with usage examples; add resolve_placements unit tests (case sensitivity, empty mesh, Partial). Add tests/ut/dmodule and dist_module parallelize coverage without wiring the new path into LLMTrainer or package __init__ exports.	5 个月前
model_spec.py	feat(dmodule): add M1 declarative Configurable and Module layer Introduce Configurable in hyper_parallel/config/ and declarative Module, BaseModel, ShardingConfig, and ModelSpec under hyper_parallel.dmodule. ModelSpec supports Config-based registration alongside legacy build_model_fn. Module.parallelize applies DTensor sharding on a single DeviceMesh; local_map is deferred to M9. Expand Google-style docstrings with usage examples; add resolve_placements unit tests (case sensitivity, empty mesh, Partial). Add tests/ut/dmodule and dist_module parallelize coverage without wiring the new path into LLMTrainer or package __init__ exports.	5 个月前
module.py	feat(dmodule): add M1 declarative Configurable and Module layer Introduce Configurable in hyper_parallel/config/ and declarative Module, BaseModel, ShardingConfig, and ModelSpec under hyper_parallel.dmodule. ModelSpec supports Config-based registration alongside legacy build_model_fn. Module.parallelize applies DTensor sharding on a single DeviceMesh; local_map is deferred to M9. Expand Google-style docstrings with usage examples; add resolve_placements unit tests (case sensitivity, empty mesh, Partial). Add tests/ut/dmodule and dist_module parallelize coverage without wiring the new path into LLMTrainer or package __init__ exports.	5 个月前
sharding.py	feat(dmodule): add M1 declarative Configurable and Module layer Introduce Configurable in hyper_parallel/config/ and declarative Module, BaseModel, ShardingConfig, and ModelSpec under hyper_parallel.dmodule. ModelSpec supports Config-based registration alongside legacy build_model_fn. Module.parallelize applies DTensor sharding on a single DeviceMesh; local_map is deferred to M9. Expand Google-style docstrings with usage examples; add resolve_placements unit tests (case sensitivity, empty mesh, Partial). Add tests/ut/dmodule and dist_module parallelize coverage without wiring the new path into LLMTrainer or package __init__ exports.	5 个月前
types.py	feat(dmodule): add M1 declarative Configurable and Module layer Introduce Configurable in hyper_parallel/config/ and declarative Module, BaseModel, ShardingConfig, and ModelSpec under hyper_parallel.dmodule. ModelSpec supports Config-based registration alongside legacy build_model_fn. Module.parallelize applies DTensor sharding on a single DeviceMesh; local_map is deferred to M9. Expand Google-style docstrings with usage examples; add resolve_placements unit tests (case sensitivity, empty mesh, Partial). Add tests/ut/dmodule and dist_module parallelize coverage without wiring the new path into LLMTrainer or package __init__ exports.	5 个月前