* 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

* Use BroadcastKernel and ReduceKernel to optimize expand and expand_grad.

* Correct the axis when there is only 1 input in BroadcastKernel.

* Add the calculate of output's shape.

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

* rm comment

* change paddle.to_tensor to paddle.full

* fix docs

* update paddle.full

* speedup getFNDAFile

* add fnda_base for c++ ut cc file

* fix bug

* fix bug

* fix bug

* fix bug

* add custom_cpu testcase

* update test_custom_device_setup

* update path to custom_runtime

* fix cmd wait

* test Linux only

* setup once

* integrate to one run_cmd

* add pip install

* change timeout

* add debug string

* add debug string

* add debug string

* use os.system and change module name

* add runtime

* add more debug message

* continue debug

* timestamp

* fix testcase import bug

* remove error message

* set TIMEOUT property

* 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_mac_build_problem

* fix_mac_build_problem

* fix_mac_build_problem

* 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