* execute use kernel_key first

* change OpKernelType->KernelKey

* fix py3 compile error, remove redundant header files

* fix build_strategy_test

* fix DataType::RAW

* fix custom_type test: operator_test.cc

* fix transform place

* fix backends_are_same_class

* try fix place TransDataDevice

* support all KernelKey

* fix TransformData

* fix place_are_same_class

* fix merge

* fix test_params_no_grad

* fix specific place of GetExpectedKernelType

* fix specific place of GetExpectedKernelType

* fix GetKernelTypeForVar

* fix dtype error

* fix fetch_v2

* change GetKernelTypeForVar

* fix interpreter

* fix typo error

* polish codes

* polish codes

* polish codes

* fix conflict

* change staticRNN to while

* update code

* fix rnn bug

* update

* fix _find_op_path_ bugs in append_backward.

* polish code

* revert op proto

* update

* udpate while

* format

* revert test while loop op

* fix create array

* fix windows error

* fix bug

* update

* fix array write bug
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* fix boardcasting superlink

* Update bitwise_op.cc

* fix typo errors(from 48186)

* Update python/paddle/distribution/uniform.py
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* Update math.py

* Update math.py

* refix

* Update logic.py

* BaseTransform api doc; test=docs_preview

* Update python/paddle/vision/transforms/transforms.py

* for text block; test=docs_preview

* Update transforms.py
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

some legacy code still use xpu_wait() for stream sync -- it only syncs
default stream. this PR replaces them with dev_ctx.Wait() to ensure
that correct stream is always used

* fix:add no support for cuda_arch<700

* replace Executor in while op with InterpreterCore

* cache InterpreterCore as the member of WhileOp

* fix bug: tensor place changed because of assign op in while loop

* refine code

* refine code

* refine code

* hot fix

* fix compile

* merge develop

* follow comments

* add log for test

* remove LoDTensor

* set flag control_flow_use_new_executor false
Co-authored-by: Nfengshuai <fengshuai03@baidu.com>
Co-authored-by: Nzhiqiu <chenqiuliang@baidu.com>

* cleanup unused code

* unify is_int8 is_bfloat16

* Simplify matmul_v2 FWD kernel

* remove RunKernel methods

* remove import namespace

* remove headers

* clean fluid/phi cross imports

* remove fluid axpy_handler

* delete fluid methods

* activations

* OneDNNMemDesc

* MKLDNNFormatForSize

* MatchShapeToLayout

* MKLDNNMemoryFormat

* MKLDNNFormat

* ReorderMKLDNNHandler

* to_void_cast

* review suggestions

* interpolate

* remove fluid depedency

* standard api

* fix sparse bugs

* fix xpu bugs, test=kunlun

* remove hard code for custom unittest

* open ci, test=kunlun

* deal with conflict

* generate static graph code of some op

* polish code

* fix bug

* update default value

* Dispath computation OPs before communication in standalone executor

* Update code

* Fix CI errors

* Improve performance of coalesce_tensor and depend OP in standalone executor

* pre-commit check

* replace executor in conditional_block_op.run with standalone_executor

* add block_id as the argument of standalone executor's method run; add print for program

* fix scope bug about conditional block op

* fix bug: unnecessary return of fetch value

* fix typo

* fix: quantization will set variable persistable, and these variables must exist in global scope

* add interpretercore cache for conditional block op but not activate in default

* fix bug: local scope reuse for conditional block op

* reset scope when conditional block op runs

* fix typo

* fix typo and code style

* add build scope for conditional block op

* add skip for transfer_layout kernel

* refind code

* fix reset_scope

* fix reset_scope

* refine code

* refine code

* refine code

1. remove flag use in conditional_block_op
2. pass execution_config to BuildOpFuncList instead of individual parameter

* refine code

* remove the use of FLAGS_control_flow_use_new_executor_cache

* change FLAGS_control_flow_use_new_executor to false

* Fix recurrent op eager deletion pass error in dy2st

* Polish code

* Refine error message

* cond infer apply exec seprate

* fix bugs

* fix as comment

* cond infer apply exec seprate

* fix bugs

* namespace modify

* update by comment

* remove using lodtensor part1

* polish history code format

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

* stop pass filter int32/int16/int64/bool inputs in cond_op

* fix bugs: except block 0, the backward vars and forward vars exist in different blocks.

* fix code by review

* Construct exec and ctx only once in cond op to speed up

* Fix construct function error

* migrate compare op(E/NE/LE/LT/GE/GT) from fluid to phi

* fix compile error

* fix memory alloc; test=kunlun

* refine code; test=kunlun

* replace PADDLE_ENFORCE with PADDLE_ENFORCE_XDNN_SUCCESS

* while support for python container.
It is convenient to convert more dynamic graph codes into static graphs.

* cond support python container

* 1. make select_input output shape = input[1]
2. add warning in while_loop risky assign

* fix 2 problem in GPT export:
1. a bug in while_op no_need_copy_var, which causes gpu memory leakage
2. a bug in undefined_var where the stop_gradient should be False.

* change name by code review

* format

* fix_shape

* code style

* fix assert

* fix to_tensor badreturn

* device_guard support xpu. test=kunlun

* sum op of xpu support LoDTensorArray. add test for while op of xpu. test=kunlun.

* Rename BOOST_GET macros

* Fix conflicts

* boost::variant -> paddle::variant

* boost::variant.apply_visit -> paddle::visit

* Update pybind_boost_hraders.h

* Fix CINN compilation errors

* Revert FetchResultType

* Fix cond_block_grad error when handle no need grad vras

* Add comment and UT