GitLab

- Ensure embedding tensors are on the same device. Change format.
- Optimize embedding kernel with vectorized memory access and __ldg
- Add vectorized memory access using float4/float2, half2, and bfloat162
- Use __ldg instruction for read-only weight and indices access
- Add memory alignment checks to enable vectorized paths
- Add __restrict__ keywords for better compiler optimization
- Implement dynamic block size selection based on embedding_dim

* 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>

Co-authored-by: pengcheng888 <pengcheng@example.com>

Co-authored-by: wawahejun <hejunlbbc@gmail.com>
Co-authored-by: zhuyue <zhuyue@qiyuanlab.com>

- dequantize awq
- rope v2

issue/205 - 添加Sub算子的头文件、CPU实现、cuda实现、及Python测试

Signed-off-by: YdrMaster <ydrml@hotmail.com>