[XPU] plain softmax_mask_fuse_upper_triangle implement #58346
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Description
在
flash_attention.py
里面,会根据不同的设备,以及不同的head_dim
执行不同的操作。目前XPU下面没有flash attention的实现,会走普通的计算路径。但是同时也没有
softmax_mask_fuse_upper_triangle
的实现,因此会报错。本PR先简单“垫”了一下,用普通的“先生成mask再做softmax”的方式来进行计算,至少不会让训练挂掉。
其中
get_triangle_upper_mask
函数的灵感来源于PaddleNLP中的GPT-3模型。