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Description
pcard-67164
修复test_optimizer_grad.py中单测,if 中的输入如果被if外的op使用,在if_grad创建时state中有对应的梯度,此梯度在if 的两个block 中都会被add_n 成一个结果作为if 的输出,因此需要在子block 处理反向前保存,下一个子block 处理前恢复。同时在if_grad处理完成后将state清空,只更新if_grad 产生的梯度值,否则会导致if外op 产生的梯度多累加一次。 此处的处理和之前inplace 的输入本质相同,因此归一处理
todo 目前当单测命中true分支后,梯度计算正确,但参数更新精度有误,原因是pir 的parameters 没有optimizer_attr属性,使得学习率的倍数没有奏效