[CINN Zero-Dim] CINN hack squeeze2 with trick temporarily #53454
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#53601) * [Zero-Dim] fix functool.reduce more safe with intial value, to support empty list (#53182) * [Zero-Dim] support 0d tensor for shape and squeeze onednn kernel (#52832) * support 0d tensor for shape and squeeze onednn kernel * set python api for shape op ut * [Zero-Dim] distributed scatter/all_to_all support input 0D tensor (#53186) * [Zero-Dim] Support paddle.sum/mean/loss api output 0D,test=allcase (#52739) * [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily (#53382) * [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily * Add unittest * [CINN Support 0D-Tensor] CINN hack squeeze2 with trick temporarily (#53454) * fix test_autograd_dynamic (#53473) Co-authored-by: zhwesky2010 <zhouwei25@baidu.com> --------- Co-authored-by: YangQun <qun.yang@intel.com> Co-authored-by: HongyuJia <jiahongyu@baidu.com> Co-authored-by: HydrogenSulfate <490868991@qq.com>
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Description
Pcard-66989
[CINN Support 0D-Tensor] CINN hack squeeze2 with trick temporarily, fix the CI-CINN
test_reduce_opunit test error of the following PR:[Zero-Dim] Support paddle.sum/mean/loss api output 0D, test=allcase #52739
CI link: https://xly.bce.baidu.com/paddlepaddle/paddle/newipipe/detail/8331592/job/22600103
Link to the first PR: [CINN Zero-Dim] CINN supports 0D-Tensor with trick temporarily #53382