rm convertToSSA API,test=huawei_ascend_npu test=nvidia_tensorrt test=verisilicon_timvx #8988
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test [OpTestPy] fix expand/expand_v2, fc,flatten_contiguous_range, gather, generate_proposals_v2,greater_equal diff! (PaddlePaddle#8339) (PaddlePaddle#8394) * test=document_fix fix Android C++ demo compile Fail bug (PaddlePaddle#8245) * fix demo MakeFile Add a convert_to_ssa macro definition (PaddlePaddle#8869) rm convertToSSA API,test=huawei_ascend_npu test=nvidia_tensorrt test=verisilicon_timvx (PaddlePaddle#8988) Sync with offical 3af2ffb Sync with 3af2ffb
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之前修复拓扑排序紊乱的PR #8967 已合入。本pr的目的测试删除convertToSSA api的使用， 如果该pr顺利合入的话，证明了之前修复的有效性。
除了删除 converttossa API相关的调用以及cmake定义之外；
本pr还修改了 type_target_cast_pass，原因如下：
直接删除 converttossa , 在xpu_dasou的CI中 模型ernie_gen 会报错，原因如下：
该模型的第8个输入 placeholder_7，作为模型的输入，其是host上的tensor， 但在子block中 assign算子，重新给这个变量赋值了，使placeholder_7成为了 xpu上的tensor，因此模型在第二次run时，初始化数据时， 使用memcpy去给placeholder_7 tensor里面的指针赋值，会报错。只能使用 xpu_memcpy。
一个简化的demo如下图所示：
feed 是 op的输入， op的结果回写到feed， 然后再执行其他op，假设这个模型运行在xpu上，得到的中间表达如下：
可见，feed var从host上的tensor变成了xpu上的tensor。因此模型第二次run，初始化数据时，只能使用xpu_memcpy。
一个可行的方案是在输出侧也插入 io copy算子。（这样会产生一个新的变量，与原始的converttossa api中生成新的变量类似）