GitLab

demo131 - multiple issues regarding quantization, qy, and so forth

* issue/843: success per_channel_quant_int8

* issue/843: success qy quant

* issue/843: modified quant

* Add w8a8int8 performance tests

* add infinicore op linear_w8a8i8

* w8a8 linear module functional nn

* issue/843: QY-GPU Support Int8 scale_mm (#68)

* issue/843: success qy scaled_mm

* issue/843: modified kernel.cuh as per_channel_dequant_int8.cuh

* fix parallel slic in w8

* w8: support multiple batch size

* temp: 修改quantconfig处理

* fix format and delete redundancy code

* fix format

* fix format

* fix format

* Refactor: add new API alongside legacy interfaces with deprecation warnings

* 添加w4 inifnicore相关内容，以及将Quantization config划入InfiniCore

* 量化算子支持图

* solve cub version problem and fix code structure

* fix format

* demo131 - remove commented lines

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Co-authored-by: xgqdut2016 <kenan_gewei@163.com>
Co-authored-by: xgqdut2016 <140036308+xgqdut2016@users.noreply.github.com>
Co-authored-by: wooway777 <wooway777@gmail.com>

* issue/571 - introduced the DeviceEvent feature

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Co-authored-by: Jiacheng Huang <huangjiacheng0709@outlook.com>

- Implement core modules: Linear, Embedding, RMSNorm
- Add PyTorch-like macros for module and parameter definition
  - INFINICORE_NN_MODULE for single module declaration
  - INFINICORE_NN_MODULE_VEC for module vectors
  - INFINICORE_NN_PARAMETER for parameter declaration
  - Corresponding INIT macros for initialization
- Implement hierarchical module system with dynamic path generation
- Add state_dict() and load_state_dict() support
- Refactor module design: protected registration methods, removed path_ member
- Add comprehensive test suite including TinyLlama integration
- All parameters are protected with public accessors

Co-authored-by: Jiacheng Huang <huangjiacheng0709@outlook.com>
Co-authored-by: wooway777 <wooway777@gmail.com>