CODA：将Transformer模块重写为GEMM-Epilogue程序
本文提出CODA方法，将Transformer模块中的计算重新表述为GEMM（通用矩阵乘法）与Epilogue（后处理）的组合程序。通过这种重写方式，能够更高效地利用硬件加速器特性，在保持模型精度的同时显著提升推理和训练速度。该方法为优化大规模Transformer模型的底层计算提供了新的视角与实现路径。
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