[Accuracy diff No.26-27] Fix accuracy diff for paddle.linalg.(eigvals, eigvalsh) API #429
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cangtianhuang
requested changes
Jul 27, 2025
| paddle.linalg.eigvals(x=Tensor([4, 4],"float64"), ) | ||
| paddle.linalg.eigvalsh(Tensor([0, 5, 5],"float32"), ) | ||
| paddle.linalg.eigvalsh(Tensor([2, 5, 5],"complex64"), ) | ||
| paddle.linalg.eigvalsh(Tensor([2, 5, 5],"float32"), ) |
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paddle.linalg.eigvalsh 是否也需要删除？
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改完不报错的都要删嘛，eigvalsh 改成 forword only 就可以跑过了
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意思是 paddle.linalg.eigvalsh 仅有反向是随机的吗？
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是的是的，api 前向只输出特征值，不会输出特征向量，算子前向第二个输出是随机，和 eigh 一样
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eigvals 返回的是未排序的特征值，具有随机性，ci_ce 中的配置都存在于 random_calculation.txt 中，所以删除 report 中内容
eigvalsh 在计算反向时，同 eigh #276 一样会使用特征向量，特征向量不唯一，同步设置 forward。生成 numpy 数据同 eigh
