GitLab

* issue/634: InfiniCore 支持InfiniLM Llama模型适配
Signed-off-by: Ceng23333 <441651826@qq.com>

* .
Signed-off-by: Ceng23333 <441651826@qq.com>

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Signed-off-by: Ceng23333 <441651826@qq.com>

- Implement Moore backend for add, mul, and silu elementwise operations
- Filter unsupported dtypes (BF16, F64) for Moore platform in tests

* ISSUE/628 适配QY C610 GPU，增加编译选项，适配已有算子。添加bge类模型所需的算子，包括gelu,layer_norm，lp_norm(支持l1，l2 norm)，relu，softmax，tanh。

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

* issue/636 - add support for fp8 with maca sdk

* issue/636 - add functional header to support Fn

* issue/636 - format code with clang

* initial add mc support for meta

* add command description for maca compilation

* rebase metax maca support to main

* issue/445 - clang format code on ubuntu

* issue//445 - change config from use_mc to use-mc and format code

* issue/614: fix device class in python

* issue/614: chang list to List in typing

* issue/614: undo kunlun.lua

* issue/571 - introduced the DeviceEvent feature

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

* fix compile bug on cuda 13.0

* issue/367 - clang format code on ubuntu

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Co-authored-by: root <root@Crapromer>

Signed-off-by: Ceng23333 <441651826@qq.com>

Signed-off-by: Ceng23333 <441651826@qq.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