GitLab

* issue/739 - support batched RoPE on Nvidia and CPU

* issue/739 - metax, moore batched rope

* issue/739 - adjust metax flags

* issue/739 - added a rope module interface to forward inplace in output tensor

- 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>

* 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

* fix compile bug on cuda 13.0

* issue/367 - clang format code on ubuntu

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

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>

Added NeoX support to Cambricon RoPE; Added a missing argument in the profiling script;

* issue/459 - Support more data type combinations

* issue/459 - added test cases for 9G7B and 9G70B

* issue/459 - modified rms kernel to support larger tensors

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

issue/428: update the rope implementation on Ascend, Cambricon, and Kunlun to use the refactored interface and return unimplemented error for NEOX-style algorithm