Commit Graph
21 Commits
Author SHA1 Message Date
ViperEkura 115192c67c refactor: remove H5 storage backend in favor of mmap bin
- Remove H5Store, H5Writer, save_h5/load_h5 and h5py dependency
- MmapStore (bin) is the sole pre-tokenized storage backend
- Move setup_logging after imports to fix E402 in __init__.py
- Clean up unused imports across test files
- Move inline test imports to file top
2026-07-29 12:50:27 +08:00
ViperEkura e0f102c4d9 feat: support SFT directly from JSONL without dataset_config.json
- JsonlStore falls back to built-in messages config when no config file found and tokenizer_path is provided
- DatasetFactory.load forwards tokenizer_path to store for SFT/SEQ+jsonl
- assistant turns train, other roles masked, position_ids doc_reset
2026-07-20 17:25:09 +08:00
ViperEkura 663ef900fc refactor: move sample-id indexing from dataset to store
- Store owns window_size/stride and __getitem__/__len__/sample_window
- Dataset classes become thin delegators binding a Store to a train-type key mapping
- Drop BaseDataset.get_index and the RecordDataset中间类 (window死代码)
- DatasetFactory forces window_size=0 for record datasets so record semantics never get window-tainted
- token_count/num_records split the legacy len() semantics (raw stream length vs record count)
- Update tests to the new .store/.token_count API and window/record mode switching
2026-07-19 16:02:50 +08:00
ViperEkura 553a42702d refactor: replace diamond inheritance with mixin composition
- StreamStore/RecordStore → Streamable/Recordable (stateless mixins)
- Store is sole base class, no MRO ambiguity
- H5Store/MmapStore/JsonlStore mix in both traits explicitly
- segments_are_records declared per-subclass (H5/Jsonl=True, bin=False)
- Add tests for dpo_tokenize, lazy jsonl, dual-mode H5, stream-only bin
- Remove unused _to_tensor helper
2026-07-18 23:20:41 +08:00
ViperEkura b133fc9c07 refactor: split Store into StreamStore and RecordStore
- StreamStore: fetch(begin, end, key) for stream access (SEQ/SFT)
- RecordStore: mixin with fetch_record(i, key) for record access
- H5Store/MmapStore/JsonlStore now dual-inherit both (C3 MRO)
- JsonlStore supports lazy mode via processor= (no TokenizeTransform)
- RecordDataset base class holds processor, DPO/GRPO simplified
- dpo_tokenize pure function for on-the-fly JSONL tokenisation
- DatasetFactory builds processor for jsonl+record datasets
- train.py passes tokenizer_path=param_path uniformly
- progress: len(dataset) returns sample count (stream=windows, record=records)
- json no longer auto-detected as jsonl format
2026-07-18 23:04:31 +08:00
ViperEkura b33250dc28 refactor: decouple tokenizer from Store into Transform layer
- Extract tokenization/mask/position logic from JsonlStore into TokenizeTransform
- JsonlStore now pure reader: reads JSON records, delegates to transform
- Store no longer imports tokenizer or preprocessing components
- Replace per_record param with segments_are_records class attribute
- Store subclasses declare segment semantics as format-level property
2026-07-18 21:37:31 +08:00
ViperEkura a74e5b91a3 feat: add record-mode to Store for DPO/GRPO
- Store gains fetch_record/num_records alongside stream fetch/__len__
- save_bin/load_bin support per-record offsets via record_keys param
- H5Store/MmapStore/JsonlStore all support dual stream+record access
- DPODataset/GRPODataset use fetch_record, no cross-record concat
- dpo_collate_fn + collate_fn wired through TrainConfig
- fixes attention context leakage in DPO from windowed concatenation
2026-07-18 21:02:29 +08:00
ViperEkura a1ea26d367 fix: rewrite GRPO data pipeline for offline record-level access
- process_list_field returns List[List[int]] preserving per-response boundaries
- GRPODataset rewritten to record-level __getitem__ (no windowing/stride)
- grpo_collate_fn pads variable-length responses into [B, G, R] tensors
- JsonlStore detects nested List[List[int]] and stores List[Tensor] per record
- Store._normalize skips nested-list keys from cumsum bookkeeping
- Pipeline._flush handles nested lists without cross-record flattening
- Export grpo_collate_fn from astrai.dataset
- 6 new GRPO tests + 2 updated builder tests, 114 total pass
2026-07-17 14:34:41 +08:00
ViperEkura e220413035 feat: support raw JSON files in dataset pipeline and JsonlStore
- detect_format now recognizes .json directories as jsonl store
- JsonlStore loads .json arrays and dicts alongside .jsonl
- tokenizer_path defaults to dataset dir when omitted
- Pipeline._iter_items handles .json files (arrays/single dict)
- Tests: detect_format, seq load, self-contained dataset dir
2026-07-17 12:20:03 +08:00
ViperEkura 8999ca89b8 feat: add JSONL dataset store with on-the-fly tokenization
- Add JsonlStore registered under "jsonl" in astrai/dataset/storage.py
- Reuse PipelineConfig schema for JSONL dataset configuration
- Update detect_format to recognize JSONL directories and files
- Move save_h5/load_h5/save_bin/load_bin to astrai/serialization
- Split astrai/serialization.py into checkpoint/dataset submodules
- Add tests for JSONL detection, seq/SFT stores, and config roundtrip
2026-07-04 15:42:33 +08:00
ViperEkura e7b18b7c03 refactor : BaseFactory 基类类型自动推导 + 移除冗余代码
- _validate_component 从 BaseFactory[T] 泛型参数自动解析基类类型,9 个子类覆写移除
- Registry 类内联到 BaseFactory._entries,移除未用的 list_by_category/list_by_priority
- _component_base 在 __init_subclass__ 时立即解析
- 数据集 4 个子类冗余 __init__ 移除
2026-06-06 21:23:41 +08:00
yegroup001 746a1475b2 fix : 修复存储层 rglob 死锁、DDP LOCAL_RANK 绑定 2026-06-02 01:01:00 +08:00
ViperEkura 2a65c3314c fix : 修复 created 时间戳、bin 多 shard 覆盖与文档遗漏
- openai.py/anthropic.py: created 从 0 改为 int(time.time())
- openai.py: ChatCompletionRequest 不支持参数非默认值时 warning
- pipeline.py: bin 多 shard 使用子目录避免静默覆盖
- storage.py: MmapStore/detect_format 支持多 shard 聚合加载
- architecture.md: mermaid 类图新增 Pipeline 类
- preprocessing.md: 新增多 shard 输出布局与 Python API 示例
- protocol.py: docstring "6 methods" 改为 "5 methods"
2026-05-30 23:03:42 +08:00
ViperEkura 7c99da155c refactor: 删除数据流中的 JSONStore
- 移除 JSONStore 及相关函数,训练框架不再依赖 tokenizer
- Store 层只保留 H5Store 和 MmapStore 两种后端
2026-05-28 15:54:26 +08:00
ViperEkura 629e72385b fix : 修复存储层 bug,JSON 切换为 JSONL,补齐测试覆盖
- save_bin/load_bin: save_json/load_json 替换为直接 json.dump/json.load,修复致命 bug
- _normalize: 空 cum 列表 guard,防止 IndexError
- load_json: 改为仅支持 JSONL 逐行解析 (json.loads),移除 .json 支持
- detect_format: 只匹配 *.jsonl,不再匹配 *.json
- save_json: 输出扩展名改为 .jsonl
- GRPODataset.__getitem__: 补齐 .to(dtype=torch.long/bool) 与其他数据集一致
- load_bin: np.memmap mode='r+' 消除 PyTorch 不可写 tensor 警告
- 新增 16 个测试: bin roundtrip, mmap load, 空 key, JSONL 多行/文本, GRPO dtype/load, detect_format bin/jsonl, fetch multi-key/越界, json_to_bin 转换, DPO from JSONL, 显式 storage_type
2026-05-28 15:29:46 +08:00
ViperEkura 0a708fff24 docs : 更新架构文档与 storage 注释,同步 Store 重构
- architecture.md: 类图/关系线全部更新 (BaseStorage→Store, StorageFactory→StoreFactory, 新增 MmapStore)
- architecture.md: 移除 BaseSegmentFetcher/MultiSegmentFetcher 类图与关系
- dataflow.md: 管线加入 .bin 格式, Store._data + _cum 架构
- storage.py: module docstring 改用缩进式注释风格
2026-05-28 14:36:18 +08:00
ViperEkura 6e150ea6d0 refactor : Storage 层重构为 Store,移除 Fetcher 中间层,支持多段数据与显式长度
- 合并 BaseStorage + MultiSegmentFetcher + BaseSegmentFetcher 三层为 Store ABC
- Store._data 直接持有 Dict[str, List[Tensor]],不做强制拼接避免 OOM
- _fetch_key 统一用 bisect 跨段切片,单段多段同一路径
- _length 显式存储(min total across keys),__len__ 返回 O(1)
- MmapStore/H5Store/JSONStore 统一走 _normalize() 注册分段并预计算累积长度
- 所有 I/O 函数 (save_h5/load_h5/json_to_bin 等) 保持不变
2026-05-28 14:23:49 +08:00
ViperEkura cb8dcb97ea refactor : 移除 -> None 返回值标注,拆分 FSDP 参数,新增 mmap 数据集存储
- 删除所有 def 函数 -> None 返回值类型标注
- FSDPExecutor 参数从 **kwargs 拆为显式声明,None 值自动过滤
- 新增 MmapStorage (bin) 存储后端,基于 numpy.memmap 零拷贝加载
- 新增 save_bin/load_bin/json_to_bin 工具函数
- detect_format 支持 bin 格式自动检测
2026-05-28 13:57:06 +08:00
ViperEkura 04c0dc7a47 refactor: Storage 改用工厂模式,server reload 接入 uvicorn
- 新增 StorageFactory(BaseFactory[BaseStorage]) 替代手写 dict 注册
- H5Storage / JSONStorage 通过 @StorageFactory.register 注册
- dataset.py 使用 StorageFactory.create() 替代 create_storage()
- 删除 create_storage / available_storage_types 死函数
- server.py reload 参数正式传入 uvicorn.run()
2026-05-16 17:00:26 +08:00
ViperEkura 6e49d27057 fix: MultiSegmentFetcher 空 dict 崩溃 + BaseDataset assert 替换为显式 raise
- MultiSegmentFetcher.__len__: min([]) → 加空检查返回 0
- BaseDataset.get_index: assert 替换为 RuntimeError / ValueError
- BaseDataset.__len__: assert 替换为 early return 0
2026-05-12 11:41:45 +08:00
ViperEkura 5889179c54 refactor: 抽取 BaseStorage 存储抽象,支持 JSON 原始文本数据加载
- 新增 astrai/dataset/storage.py:BaseStorage/H5Storage/JSONStorage + Fetchers + 序列化函数
- BaseDataset.load() 接入存储抽象,自动检测 HDF5/JSON 格式
- JSON 支持原始文本 + tokenizer callable 加载时 tokenize
- 新增 BaseDataset.count / keys 属性进行长度观测
- serialization.py 精简为只保留 Checkpoint 类
- 函数放前、类放后,删除分隔注释
2026-05-12 11:17:24 +08:00