* fix 0-d tensor for arg_min_max op.

* fix xpu.

* fix zero dims

* fix

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update test_zero_dim_tensor.py

* Update test_zero_dim_tensor_xpu.py

* Update test_zero_dim_tensor.py

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* [Divide by 0 Error] add norm check

* [Divide by 0 Error] fix x AttributeError

* [Divide by 0 Error] norm check migrate to c++

replace all TensorFromVector & TensorToVector

AssignKernel async copy

* [KUNLUN] add op: maxpool_with_index

* use DeviceContext::Alloc() instead of DenseTensor::mutable_data()

* fix file format

* solve clip unittest failure

* minor fix

* Revert "solve clip unittest failure" since the issue is fixed
in #49535

This reverts commit 1127adc66e79afe35ac3c00bb34e6aaa7cd7d78b.

* align with xdnn on the definition of mask in max_pool_with_index

* minor

* [Zero-Dim] support input 0D for paddle.moveaxis/quantile

* fix CI

* add reduce_sum_int64 and reduce_sum_int8 xpu kernels

* [PHI] add clip grad kernel with support type float32 and int32

* [PHI unittest] add clip_grad unit test

* adapt code to clang-format

* update xpu api output with clip_grad api

* remove int8 support of reduce_sum xpu kernel since it can not pass unit tests

* adapt license date, add code for XPUDataType convertion

* add int8 support of reduce_sum

* add reduce_sum unit tests for dtype int64, int8, and add more test cases

* update license date

* remove buggy bitwise and, or and xor xpu kernels, refine bitwise not xpu kernel

* change license date

* Add the cumsum 0d tensor

* xpu and cpu judge the 0d  tensor

* change to 2022 to 2023 in new commit

* fix the reverse logic

* add where, atan2, median 0d ut

* add where, atan2, median 0d ut

* update

* update

* update

xpu2_op_list.cc. test=kunlun

* rename kernel

* delete sig

* modify code according comment

* fix ci bugs

* migrate shaple sgd, split,sign xpu kernels to phi, test=kunlun

* fix dlrm throughput problem, test=kunlun

* add xpu einsum, fill_diagonal, and diagonal kernels, test=kunlun

* add bitwise and, bitwise not, bitwise or and bitwise xor

* correct typo

* support 0D for paddle.sort/argsort

* support 0D tensor for paddle.sort/argsort in xpu

* fix bug

* fix grad and add value assertion

* migrate shaple sgd, split,sign xpu kernels to phi, test=kunlun

* fix dlrm throughput problem, test=kunlun

* nullptr bugfix for XPU pg mode

Also a few kernels is added to xpu whitelist

* increase error msg length

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add xpu rmsprop centered, test=kunlun

* Replace mutable_data with DeviceContext.Alloc in phi kernels

* Fix CI errors

* Fix CI errors

* Fix CI errors, test=kunlun

* Fix CI errors, test=kunlun

* Handle rnn_functor

* Update approvals

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad

* fix xpu compile error

* fix xpu compile error

* fix xpu ut

* fix xpu ut

* fix_xpu_compile_error
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add silu, unfold and their grads,test=kunlun