* 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

* [CodeStyle][isort][Dy2St] sort imports in test_error

* update lineno

* 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>

[fluid remove]: remove paddle.fluid.layers.target_assign, paddle.fluid.layers.rpn_target_assign, paddle.fluid.layers.retinanet_target_assign and paddle.fluid.layers.ssd_loss (#48669)

* remove paddle.fluid.layers.nn.temporal_shift

* code check

* rm unittest

* remove ssd_loss, target_assigns

* remove target_assign, retinanet_target_assign, rpn_target_assign and ssd_loss

* rm _disable_legacy_dygraph

* disable test_flags_mkldnn_ops_on_off test

* add reduce max for trt

* 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

* [remove fluid] GRUUnit NCE

* [remove fluid] GRUUnit NCE

* [remove fluid] GRUUnit NCE

* [remove fluid] GRUUnit NCE

* pass

* pass

* draft version

* share mem opt

* remove sharemem

* add pattern for the case with circle_shift=0

* add UT

* pass opt

* test_fix

* code-commit

* code-style

* code style

* code-style

* ut-fix

* op teller refine

* resolve conflict

* adjust position op_teller list and pass order for swin

* ut code style update

* adjust paddle pass order

* refine pass order

* refine pass order

* refine pass order

* [Dy2St] refactor convert_print to display Tensor in compile time

* clean fluild resize_trilinear

* clean fluild resize_bilinear

* clean fluild resize_nearest

* clean fluid image_resize

* fix test_trt_nearest_interp_op.py

* fix yolov3.py

* fix yolov3.py

* Clean fliud hash

* clean fluid grid_sampler

* clean log_loss

* Move bilinear_tensor_product from fluid to static

* Fix unitests when remove log_loss

* Fix bug when move bilinear_tensor_product

* fix test_fleet_nocvm_1.py

* Add bilinear_tensor_product into all list

* Fix code style

* Fix comments in bilinear_tensor_product

* Fix comments in bilinear_tensor_product

* Fix comments

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

* rm _enable_legacy

* recover original code

* add_range

* add_range

* clean elem_arithmetic part2 unittest

* fix test_model_cast_to_bf16

* restore test_model_cast_to_bf16

* move softmax to paddle2.0

* fix some bugs

* resolve conflict

* remove some code

* modify code style

* fix bugs

* fix code

* fix move code

* fix some bugs

* fix code

* fix some code

* modify the header file

* fix bugs

* fix some examples

* fix mish example

* fix code

* add custom profier doc

* update

* format; test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.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

* 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>

[fluid remove]: remove paddle.fluid.layers.nn.temporal_shift and paddle.fluid.layers.sigmoid_focal_loss (#48553)

* remove paddle.fluid.layers.nn.temporal_shift

* code check

* rm unittest

* remove paddle.fluid.layers.sigmoid_focal_loss

* [remove fluid] drop_out PI

* [remove fluid] drop_out PI

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm