llama模型支持

[miaobyte]

代码除了import torch，需要和和transformers保持一致。但需要精简掉分布式、kvcache的后端配置

https://github.com/huggingface/transformers/blob/main/src/transformers/models/llama/modeling_llama.py

[miaobyte]

https://github.com/array2d/deepx/tree/main/front/py/deepx/transformer/models/llama

debug中

- front/py/deepx/transformer/models/llama/__init__.py
- front/py/deepx/transformer/models/llama/attention.py
- front/py/deepx/transformer/models/llama/embedding.py
- front/py/deepx/transformer/models/llama/mlp.py
- front/py/deepx/transformer/models/llama/modeling_llama.py
- front/py/deepx/transformer/models/llama/normalization.py

根据需要，增加了一些算子，如

where

[miaobyte]

rope init,forward,在ompsimd侧，验证成功
#63

[miaobyte]

rope init,forward,在cuda侧，验证成功
#64