* replace dependency of inclusive_scan.h from phi

* format code

* fix codestyle

* add double complex<float> complex<double> dtype support for syevj_batched

* fix use_syevj flag for precision loss when input dtype of syevj_batch is complex128 in some case

* optimize eigh in different case

* fix missing ; bug

* fix use_syevj bug

* fix use_cusolver_syevj_batched flag

* OneDNN version of Copy, tranpose kernels adjusted

* style fixes in tranpose_grad

* redundant headers deleted

* move norm_utils.cu.h from fluid to phi

* remove norm_utils.h in fluid

* fix bugs and replace mutable_data with Alloc

* replace mutable_data with Alloc

* first commit.

* refine performance with fast_divmod

* refine performance with fast_divmod

* reshape

* typo

* remove header

* move share_buffer kernel to phi

* fix ut

* add source file

* fix window links

Reenabled ext_reorder recording for TransDataLayoutFromOneDNN

* move cuda_graph from fluid to phi

* move device_memory_aligment from fluid to phi

* Revert "move device_memory_aligment from fluid to phi"

This reverts commit b92fcd39a0a50fdac13278f49be0237a85f3a13f.

* update xpu cmake

* remove bbox_util.h from phi

* add file bbox_util.h

* reframe bbox_util.h

* squeeze kernel

* squeze fwd

* whitespace

* [Zero-Dim] Support 0D for paddle.diagflat

* make bilinear interpolate stable.

* fix code

* delete Bias and ResidualData in OpMaker of conv2d

* delete extra input of conv3d

* refactor pass of conv_bias_fusion

* fix mkldnn dependency

* fix mkldnn compile

* fix test_conv_bias_mkldnn_fuse_pass

* police some code

* remove useless log

* fix analyzer_vit_ocr_tester

* fix conv_activation_mkldnn_fuse_pass

* fix test_analyzer_ocr

* add fused_conv_sig

* fix performence regression

* fix performance regression

* remove fluid code

* init

* typo

* fix merge conflicts

* remove layers.matmul in nets.py

* remove layers.matmul in rnn_impl/test_quantization_pass/auto_parallel_gpt_model/test_auto_parallel_completion_gpt

* remove layers.matmul in other files

* fix

* fix

* remove layers.matmul itself

* remove ref in CMakeLists.txt and tools directory

* remove matmul in fluid.layers.nn.py

* remove matmul in fluid.dygraph.rnn.py && resotre test_matmul_op.py

* replace matmul in fluid.dygraph.rnn.py && clean api_test in test_matmul_op.py

* fix error && restore empty test_auto_search_dist_matmul_op.py

* fix check in test_auto_parallel_partitioner.py

* fix test_dist_matmul && test_flags_mkldnn_ops_on_off

* fix test_fused_attention_op_xpu.py && test_matmul_op_xpu.py

* remove test_auto_search_dist_matmul_op.py

* remove layers.matmul in auto_parallel_gpt_model.py && fix doc in fluid/io.py

* fix for matmul_grad

* fix codestyle

* fix codestyle

* resolve conflicts error

* restore unit test file but not compiled it for later remove

* fix codestyle

* fix wrong unittest skip

* fix unittest delete

* fix scale cost

* fix scale cost

* resolve conflicts error

* resolve conflicts error
Co-authored-by: Njakpiase <jakpia21@gmail.com>

* 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

* first commit

* fix bugs according to ci

* add some changes

* change file name into function.cu.h

* remove const_cast

* 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

* register more bf16 ops

* update to register coresponding backward ops

[Fluid Clean] remove nn.topk, nn.ctc_greedy_decoder, nn.im2sequence, nn.multiplex, nn.smooth_l1 (#48289)

* rm poly_util.h

* format code

* fix some problems

* format code

* Add migrations

* Fix build errors

* Remove elementwise_mul from migration

* Migrate mul_mkldnn_op to matmul_kernel

* Review fixes - changed mutable_data, changed ctx to dev_ctx, fixed namespaces

* switched some funcs to phi

* Deleted not needed phi:: and changed place checking according to standards

* [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>