[Zero-Dim] support 0d tensor for shape and squeeze onednn kernel#52832
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zhwesky2010 merged 2 commits intoApr 24, 2023
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without this change, squeeze needs the input tensor to have at least 100 elements. otherwise, the ut will fail during teardown. But I'm not sure about why we have this constraint in python/paddle/fluid/tests/unittests/eager_op_test.py:431
AssertionError: Input's shape should be large than or equal to 100 for squeeze Op.
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@YangQun1 CI has failed, need to fix, we need this PR, because squeeze will change to 0D this or next week. |
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@zhouwei25 Hi, there is a trt case failed in PR-CI-Coverage, it seems to not related to onednn: |
xinyu-intel
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…dlePaddle#52832) * support 0d tensor for shape and squeeze onednn kernel * set python api for shape op ut
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…dlePaddle#52832) * support 0d tensor for shape and squeeze onednn kernel * set python api for shape op ut
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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 <[email protected]> --------- Co-authored-by: YangQun <[email protected]> Co-authored-by: HongyuJia <[email protected]> Co-authored-by: HydrogenSulfate <[email protected]>
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Fix #51364
Support 0-d tensor for shape and squeeze onednn kernel