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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>

* can commit

* can exec sm_90a

* can exec < sm_90

* fix format

* fix format

* 增加测试，测试对标sglang test

* fix format 1

* fix format 2

* add compile option to disable cutlass

This reverts commit 25258029.

- 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>

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

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

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

- dequantize awq
- rope v2

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

* issue/254: 添加算子在CPU和CUDA上对BF16的支持，并增加相应的测试代码

* issue/254: 将修改后的算子格式化后重新提交

* 修改与最新main的冲突

* 解决冲突后rms_norm原本的精度过不了了，现在由
{"atol": 5e-3, "rtol": 5e-3}更改为
{"atol": 8e-3, "rtol": 8e-3}

* rms_norm在debug模式下FP16的测试用例失败了（本地测试能通过，github上过不了），
所以将容差增大了两倍进行测试

* 将rms_normd的测试输入缩放0.5，将容差改回原始值来进行ci测试

* issue/254: 1.使用CHECK_DTYPE宏来进行数据类型检验
2.在test的utils.py中添加了设备对BF16支持的检验

* issue/254: rms_norm测试fp16容差由
torch.float16: {"atol": 1e-3, "rtol": 1e-3},
改为torch.float16: {"atol": 2e-3, "rtol": 2e-3},
并删除对输入0.5的放缩

* issue/254: 在utils.py中debug方法和debug_all方法中
添加了对BF16的特判

* 修改支持BF16测试的设备类型检查方法

* 修改支持BF16测试的设备检查

* issue/254: reduce redundancy in rms_norm.py

* issue/254: add back the missing comment in rms_norm.py

* issue/254: add fp32 tolerance condition in causal_softmax.py

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Co-authored-by: Zimin Li <coollizimin@gmail.com>