* add kernel dialect

* change DenseTensorTypeStorage to DenseTensorType

* add test case`

* add first pd_op to kernel dialect

* lower pd op to kernel dialect

* update

* update

* remove useless code

* add attrite print test

* fix bug

* update

* update

* update

* update

* polish code

* fix bug

* polish  code  and add python test

* add test

* fix test error

* add env flag

* fix bug

* revert test env

* change cc_test_old to cc_test

* fix build_static bug

* fix type test error

* udpate cmake

* disable test in windows

* update

* update

* fix bug

* split file

* fix conflict

* polish code and fix conflict

* support place transformer

* finish bug

* add gpu flags

* fix with cuda macro

* add fetch kernel

* support fetch var in new ir

* fix bug

* polish code

* change array equal to np.testing

* support feed in new ir

* update

* fix bug

* try to hack combine op

* add scope guard

* revert atan2 op

* add scope guard

* update

* polish code

* update

* refactor build kernel context

* fix unitest bug

* polish code

* use original order

* remove useless code

* polish code

* fix bug

* style

* more

* update ctest

* Update legacy_backward.yaml

* Update legacy_ops.yaml

* Update legacy_ops.yaml

* update

* update

* update for move

* add skip_gc_vars for 1f1b schedule mode

* add pp_degree and pp_stage

* [codestyle] add exclude

* refine config

* empty commit, test=document_fix

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* refine code

* add some interface for phi kernel op

* fix compile bug

* delete unused code

* support code

* fix bug

* refine code

* delete unused code

* fix compile bug

* fix compile bug

* delete unused code

* add elementwise add op

* fix compile bug

* add arm_brpc,box_ps cache

* delete concurrentqueue.cmake

* remove function sequence_conv_pool

* fix test_glu.py

* remove function scaled_dot_product_attention

* remove function img_conv_group

* remove function simple_img_conv_pool

* delete the nets.py

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* Update test_image_classification.py

* Update test_recognize_digits.py

* Update test_recommender_system.py

* Update test_image_classification_fp16.py

* fix bug

* fix bug

* fix bug

* remove the nets.py in fluid

* fix bug

* fix the codestyle

* fix conflict

* fix bug

* Fix TODO

* add clone for inpalce

* fix name

* add inplace pow

* fix typro

* add note

* fix typro

* fix typro

* fix bug

* fix test error

* add type error test

* adjust indentation

* add gc for multi jobs

* fix job.h

* update OpInfo to OpInOutInfo

* update get_skip_gc_vars algo order

* add int_with_ll to conv

* fix bugs when output_size is specified for conv2d_transpose

* add fetch kernel

* support fetch var in new ir

* fix bug

* polish code

* change array equal to np.testing

* support feed in new ir

* fix bug

* try to hack combine op

* add scope guard

* revert atan2 op

* polish code

* fix vector type bug

* modify feed data type

* demo1

* add test cases

* modify the usage of StepDecay

* refine

* replace PiecewiseDecay(LearningRateDecay) with PiecewiseDecay(LRScheduler)

* fix bug

* fix bug

* replace the StepDecay,MultiStepDecay,LambdaDecay with 2.0 version

* add pos_weight in kernel

* fix unittest

* fix xpu

* fix bce unittest, change infermeta order

* [ROCM] fix cupti, hipcub

* update

* update

* test=cinnunit

* test=cinnunit

* sync to develop of cinn

* test=cinnunit

* test=cinnunit

* [kunlun] fix the dataloader problem in RDMA env

When running multi-machine training with Paddle DataLoader, an
unexpected segmentfault will be raised in DataLoader Process,
where the traceback goes all back to a runtime error that dataloader
workers exit unexpectedly. Similar problems have been discussed
that lead to a misbehavior of OpenCV working in multiprocessing
environment.
See
https://stackoverflow.com/questions/54013846/pytorch-dataloader-stucked-if-using-opencv-resize-method

* code style

* fix 'RuntimeError: context has already been set'

* Update dataloader_iter.py

spawn method raise error 'Can't pickle local object' in some situations

* code format check

* code style

* complement ir type

* fix ir_printer

* [XPU] fix compile issue for XPTI

* bugfix

* bugfix

* add einsum layer