Update DIEN docs, example and refactor AUGRU#229
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Enrich DIEN documentation (EN/CN) and tutorial with detailed architecture, conventions (padding_idx/shared_with/loss_mode), usage examples and negative-sampling guidance. Add a runnable example script examples/ranking/run_dien.py that prepares data, builds negative histories, defines features and trains DIEN with CTRTrainer (loss_mode=False). Refactor torch_rechub/models/ranking/dien.py: rewrite AUGRU/AUGRU_Cell (move attention out of cell), use Xavier init, add masking/NaN-safe softmax, precompute attention scores, return sequence outputs, and add support for neg_history_features; update DIEN constructor/docstring and auxiliary-loss notes. Miscellaneous fixes to API examples and parameter defaults in docs to clarify correct embedding/sharing/padding usage.
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Pull Request / 拉取请求
What does this PR do? / 这个PR做了什么？
Enrich DIEN documentation (EN/CN) and tutorial with detailed architecture, conventions (padding_idx/shared_with/loss_mode), usage examples and negative-sampling guidance. Add a runnable example script examples/ranking/run_dien.py that prepares data, builds negative histories, defines features and trains DIEN with CTRTrainer (loss_mode=False). Refactor torch_rechub/models/ranking/dien.py: rewrite AUGRU/AUGRU_Cell (move attention out of cell), use Xavier init, add masking/NaN-safe softmax, precompute attention scores, return sequence outputs, and add support for neg_history_features; update DIEN constructor/docstring and auxiliary-loss notes. Miscellaneous fixes to API examples and parameter defaults in docs to clarify correct embedding/sharing/padding usage.
Type of Change / 变更类型
Related Issues / 相关Issues
Fixes #228
How to Test / 如何测试
Checklist / 检查清单
python config/format_code.py) / 代码遵循项目风格（运行了格式化脚本）