[NPU] adaptation for LLaMA #7262
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for export npu model
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fix accuracy bugs
调整模型目录，放开benchma分支
适配静态多batch att mask
调整非benchmark输入
优化最大batch数，修改增量attention mask为向量
add hccl_buffsize control
优化内存，避免大batch attention mask的操作
优化显存，避免对attention mask tenso频繁操作，造成内存碎片化。并使用加速库算子，避免numpy运算慢问题
使能weight transpose功能，精度验证OK，配合PR:MyAngelAyase/PaddleCustomDevice#66
export NZ
Pad/UnPad 接入适配（需要重新导出模型）
Update modeling.py for embeding
update for master branch && position embeding speed up
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This Pull Request is stale because it has been open for 60 days with no activity. 当前Pull Request 60天内无活动，被标记为stale。 |
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This Pull Request is stale because it has been open for 60 days with no activity. 当前Pull Request 60天内无活动，被标记为stale。 |
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This Pull Request is stale because it has been open for 60 days with no activity. 当前Pull Request 60天内无活动，被标记为stale。 |
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