[pull] develop from PaddlePaddle:develop#116
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pull[bot] merged 31 commits intolsdlab:developfrom Apr 27, 2023
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* add pad op * add_some_code * modify some code * add some code * add some code * modify some code * add some code * modify some code * Update composite_backward_api.h * modify some code * add some code * add some code * add some code
* update cmake3.16 to 3.18 * test * Update Dockerfile.ubuntu
* update * fix bug
* [XPU] remove scale_loss in parallel.py * [XPU] throw Unimplemented when using Reducer
* test,test=develop * test,test=develop * test,test=develop * test,test=develop * test,test=develop * test,test=develop * test,test=develop * test,test=develop
* updata Adamw.py out.backward() -> loss.backward() * Update adamw.py
* modify concat_grad add sum comp rule * modify opcompat
* add jacobian and hessian in paddle.autograd * disable unitest 'func_multi_input' for bug in high-order gradient of multiply * add dimension checks * add support for 0-D tensor * change return type from Jacobian to Hessian in hessian function * refine Jacobian _flatten function for single xs * refine support for 0-D tensor * 1. add 'func_multi_input' unitest for multiply_grad_kernel bug fixed already. 2. support non-inplace math operation via magical method overwriting. * add unitest for math operation and raise error when 0-D tensor is indexed * add ndim check on ys and xs according to is_batched, and add one unitest * refine docstring of jacobian and hessian * move paddle.incubate.autograd.Jacobian/Hessian to paddle.incubate.autograd.functional.Jacobian/Hessian * remove single_input unitest case because numerical differentiation is wrong * remove 3 unitest for numerical result(reference result) is wrong * 1. rename autodiff.py to autograd.py 2. increase TIMEOUT to 100 * cancel modification for functional Jacobian/Hessian * 1. use tuple as return type instead of list 2. refine docstring * add more unitest case to improve coverage * remove 2 unitest of Hessian for numerical result is wrong * remove 1 unitest of Hessian for numerical result is wrong * remove 1 unitest of Hessian for numerical result is wrong * change unit test to shape check * correct doc and replace incubate API to stable API in _grad
…ecessary (#53352) * [Fix CppExtension Unittest] Change CUDAExtension to CppExtension if necessary * Temporarily test cpp_extension under GPU * Split mixed_extension unittest
* support OD level and skip dynamic loss scaling for bf16
* trans fused_feedward Compute function to phi * add register info * remove maxfunctor * move fused feedward to phi * remove sig file * remove fliud include * add include * add include * add sig file * add output register info * fix sig file * Update fused_feedforward_sig.cc * fix grad kernel * update output register info * fix * open fused_feedforward static build * add optional and fix code style * fix output info for fused attention * add optional param * merge
* support fp16 for maxout op * format code * change api * add test for static float16 * format code * formatting code * atol alignment * experiment—1 * experiment-2 * experiment-3 * format code
…ly (#53382) * [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily * Add unittest
* [static op generation] triangular_solve * [phi] mv triangular_solve_grad to static_backward * [phi] fix import * [phi] mv to ops.yaml、 backward.yaml * fix forward attr * [phi] fix triangular_solve_grad args
* Update slim approve list * Fix id, test=document_fix
* [phi] move sequence_pool kernel to phi * mv kernels impl * fix parameter error * clean include * fix compat filename * [phi] move fluid sequence_pool_grad to phi * [phi][compat] sig rm GradVarName * [phi] fix sequence_pool out type * [phi] rm impl, add const string * [phi] fix const str * fix sequence_pooling cmake * [phi] mv sequence_pooling_test * [phi] fix grad sig * [phi] fix sequence_pool is_test error * [phi] fix sequence_pooling gpu include * [phi] mv to impl * [phi] fix SequencePoolFunctor cu include * [phi] modify out max_index int32_t * [phi] add pooltype mapping determine * [phi] fix sequence_pool_sig * [phi] fix sequence_pool_sig sum * [phi] try ci * [phi] fix max_index optional
…tion (#52093) * change judgement for DropoutGradGPUKernelDriver * add UnrollerWithoutVecSize and after this Loaddata to be refined * pass unittest * use same unroller with XPU * BroadcastWithInt64Index * BroadcastDataLoader template partial specialization * fix compile errs in ROCms * PR comment
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