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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/925 - Speed up `scripts/build_ntops.py` and `src/infiniop/ninetoothed/build.py` with `concurrent.futures`

对 `NineToothedTensor` 进行 C++ 层封装

加入使用数组作为 `shape` 和 `strides` 创建 `ninetoothed::Tensor` 的方式

使用 `ninetoothed::Tensor` 接入九齿的 ReLU 算子

Add an include guard to `ninetoothed/utils.h`

- 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