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背景:ch_PP-OCRv2_det 模型在amp fp16训练中,O1、O2都会出现nan,原因是模型中卷积层的数值范围极大,超出了fp16的表示范围,并不适合这种训练方式。我们尝试了amp bf16 训练,发现无需任何额外配置,模型未出现nan,精度和相同配置下的fp32训练可以对齐。
PR:为套件添加amp_dtype的选项,默认为float16,给ch_PP-OCRv2_det 模型配置为bfloat16