[Zero-Dim] change Tensor.numpy to other equivalent usage, avoid hack #52197
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zhwesky2010
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jeff41404
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* remove op.py * [Zero-Dim] change Tensor.numpy() usage to other equivalent usage, avoid hack (#52197) * [BugFix] fix compute error in fused_dropout_add (#52261) * fix bg * add utest * add utest * [CodeStyle][UP034] remove (()) cases (#52060) * add up34 * modify var name in loop * revert changes in test_slice * Revert "modify var name in loop" This reverts commit 6d748e3. * temporarily ignore test_slice.py * add comment * empty commit, re-trigger all ci * fix inc --------- Co-authored-by: SigureMo <sigure.qaq@gmail.com> * [AMP OP&Test] add unittest for log_softmax (#52264) * Fix_Linux_[-Wterminate]warning (#52186) * [CustomOP Inplace] Automap inplace dtype and shape, prepare for vector<Tensor> output (#52214) * [CustomOP Inplace] Automap inplace dtype and shape, prepare for vector<Tensor> output * delete dtype,shape func of multi_inplace op * [CustomOP Inplace] Automap inplace dtype and shape, support vector<Tensor> output * [CustomOP Inplace] Auto-generate python API for inplace vector<Tensor> output * [AMP OP&Test] add float16 optest for reshape_op (#51678) * [AMP OP&Test] add float16 optest for reshape_op * add public_python_api * [AMP OP&Test] Add fp16/bf16 to clip op (#52158) * add fp16/bf16 to clip op * fix as reviewed * update test_clip_op.py * update test_clip_op.py * fix bug * fix code style * fix bug * fix bug --------- Co-authored-by: Zhou Wei <1183042833@qq.com> Co-authored-by: ShenLiang <1422485404@qq.com> Co-authored-by: 张春乔 <83450930+Liyulingyue@users.noreply.github.com> Co-authored-by: SigureMo <sigure.qaq@gmail.com> Co-authored-by: Ccc <52520497+juncaipeng@users.noreply.github.com> Co-authored-by: Galaxy1458 <55453380+Galaxy1458@users.noreply.github.com> Co-authored-by: HongyuJia <jiahongyu@baidu.com> Co-authored-by: zhaoyingli <86812880+zhaoyinglia@users.noreply.github.com> Co-authored-by: wuyefeilin <30919197+wuyefeilin@users.noreply.github.com>
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PR types
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Describe
将框架内部API的
Tensor.numpy()改成其他完全等价的用法，避免受到numpy() hack的影响，导致不必要的warning。