CortexNet / PROJECT_README.md
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# CortexNet
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## Language / 语言
- 中文文档入口: `docs/README.md`(Chinese + English full docs index)
- English quick docs: `docs/en/QUICKSTART_AND_USAGE.md`
- Chinese quick docs: `docs/zh-CN/QUICKSTART_AND_USAGE.md`
`CortexNet` 是一个面向语言建模与推理场景的神经网络架构实现,核心思路是将多尺度状态空间建模、选择性稀疏注意力、记忆系统、条件路由与可选高级推理模块组合到同一框架中。
`CortexNet` is a unified neural architecture implementation for language modeling and reasoning, combining multi-scale SSM, selective sparse attention, memory, conditional routing, and optional advanced reasoning modules in one framework.
本仓库已经完成以下整理:
- 统一对外主模型命名为 `CortexNet`(不再以 `*V3` 作为主入口)
- 代码按 `pip` 可发布标准重构到 `cortexnet/` 包目录
- 基准/聊天/评测脚本统一归档到 `scripts/`
- 清理无用导入、冗余变量和缓存文件
- 补充架构文档和模块映射文档,方便开源协作
## Installation
```bash
pip install -e .
```
或构建并安装 wheel:
```bash
python -m pip install build
python -m build
pip install dist/*.whl
```
## CLI
```bash
python -m cortexnet --version
python -m cortexnet --smoke-test
```
## Quick Start
```python
import torch
from cortexnet import CortexNet, CortexNetConfig
config = CortexNetConfig(
vocab_size=32000,
hidden_size=512,
num_layers=4,
num_heads=8,
max_seq_len=2048,
)
model = CortexNet(config).eval()
input_ids = torch.randint(0, config.vocab_size, (1, 16))
with torch.no_grad():
out = model(input_ids)
print(out["logits"].shape)
```
## Package Layout
```text
cortexnet/
adapter/ # 开源模型识别、权重映射、架构适配、推理适配、校准
ops/ # 设备与算子抽象(CPU/CUDA/MPS/NPU/MLU)
model.py # 主模型与 from_pretrained
blocks.py # 核心 block 组合
...
scripts/
benchmarks/ # 性能与量化基准
chat/ # 聊天脚本
eval/ # 能力评测脚本
dev/ # 一键流程与测试运行器
tests/ # 回归与单元测试
```
## Test
```bash
python -m pytest -q
```
## Docs
- 文档中心(中英文完整文档):`docs/README.md`
- 架构说明:`ARCHITECTURE.md`
- 模块职责图:`MODULE_MAP.md`
- 变更记录:`CHANGELOG.md`
- 贡献指南:`CONTRIBUTING.md`
- 支持与问题分流:`SUPPORT.md`
- 安全策略:`SECURITY.md`
- 示例代码:`examples/README.md`
- 发布基准报告:`docs/reports/README.md`
- Hugging Face 发布:`docs/en/HF_PUBLISHING.md` / `docs/zh-CN/HF_PUBLISHING.md`
## Compatibility Notes
- 对外推荐只使用 `CortexNet`
- 历史命名(如 `CortexNetV2` / `CortexNetV3`)仍保留为兼容别名,避免旧代码立即失效。
## Development Commands
```bash
make install-dev
make lint
make test-all
make check
```