This reverts commit 2c444dfa.

* 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

* Fix param and out grad names in dy2st for high order grad

* replace matmul with matmul_v2 in fuse passes

* Remove fusion logic from matmul

* removing fusion methods

* add proper name

* adjust namespaces

* Implement conv2d_fusion NHWC format using CUTLASS
* Add unit testing for CUTLASS Conv in inference
* Add experimental API for CUTLASS.

* [OpAttr]Fix Ignore AttriteTensor in IndicateDataType bug in grad_op

* add GetExpectedKernelType

* [Zero-Dim] reshape/reshape_/reverse 0D support

* rm comment

* change paddle.to_tensor to paddle.full

* fix docs

* update paddle.full

* fix test_conv_bn_fuse_pass_cc

* remove comment

* update conv to convNd

* trigger ci

* support static graph code-gen for squeeze op

* generate static graph code of unsqueeze

* refine op name

* add extra output in op_compat

* remove debug log

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00ef468d2dad0e38b3da06295ed62990d20.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

* reset
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* Fix default GetExpectedKernelType for ops supported tensor attrs

* auto parallel bf16

* fix load into memory

* fix load into memory

* fix code style

* fusedAttenGrad_noGrad

* code style fix

* add ut

* remove unnecessary log

* add skip run

* alloc minimum memory

* skip check_size in Alloc

* skip check_size in Alloc

* skip check_size in Alloc

* fix cases when tensor is initialized or empty

* alloc empty output for place info

* add test

* increase timeout

* format code

* skip cpu

* add cudnn_deterministic

* fit for hostAlloc

* follow comments

* change check_size to fake_alloc

* generate the static op of some ops

* add the VERSION of pixel_shuffle

* change the API doc of isclose

* change the API doc of isclose

* fix the isclose op comment

* delete old dygraph pylayer

* [AutoParallel] quantization pass support export

* support subgraph

* move_presist_var_to_global_block

* update unittest

* fix ci-coverage

* fix codestyle

* fix fake_dequantize_op

* remove unused var

* fix ci error and aprroval error

* add unittest for fp16 in test_dequant_linear

* replace mutable data

* fix unittest in non-cuda-core

* fix unittest
Co-authored-by: Ncarryyu <569782149@qq.com>
Co-authored-by: Nwufeisheng <wfs1997@163.com>

* cinn use interpretercore

* fix bug

* fix compile bug

* fix scope bug

* refine code

* refine code by comment

* refine code by comment

* Support priority scheduling for standalone executor

* Add CPU test

* revert concat and change concat to stack

* let stack kernel support int8, uint8 and bool type

* [Auto Parallel] Rename methods of ProcessMesh

* [Auto Parallel] Impl the python process_mesh by the c++ one

* [Auto Parallel] Add some minor modifications

* [Auto Parallel] Rename some methods

* [Auto Parallel] Remove unnecessary codes

* [Auto Parallel] Add back some removed files

* [Auto Parallel] Fix bugs

* [Auto Parallel] Fix a bug

* Update process_mesh.cc

* [Auto Parallel] Fix a bug

* Memory search for stream analyzer

* Shrink redundant waiters