* Replace paddle::experimental::DataType as phi::DataType

* restore custom_device.cc

* Add output defs for mode kernel

* fix bug

* add fp16/bf16

* add grad bf16

* test name

* platform::CUDAPinnedDeviceContext -> phi::GPUPinnedContext

* replace platform::TraceEventCollector

* remove fused_matmul from list

* add infermeta for fused matmul

* add from_blob

* fix test

* fix test

* fix codestyle

* add gpu test

* fix test

* update

* add comment

* fix comment

* update comment

* fix CI bug

* add thread_local

* update

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix cmake

* fix CI-Py3 make

* update

* use api_reg

* fix include

* update

* update

* update

* fix bug

* fix bug

* fix bug

* fix bug

* mkldnn->onednn

* fused softplus op + kernel

* remove extra attributes

* add missing handler

* change var name

* Add output defs for conv3d_coo distribute_fpn_proposals kernel

* fix

* squeeze2_op

* add ut

* fix ut

* fix static

* modity ut

* fix static prim api code gen

* fix static prim api gen

* find relevant testcase

* remove with_data_parallel

* trigger CI

* do not apply ParameterServerGraphOptimizer

* remove useless optimizer

* remove with_data_parallel in test_dist_base

* fix test_fleet_base_3

* only reserve changes for GraphExecutionOptimizer

* fix bug

* fix test_minst_dgc_nccl

* fix typo

* fix test_dist_mnist_gradient_merge

* rm TestDistMnistNCCL2DGCMultiCards

* fix optimizer conflicts

* fix dist_mnist

* fix test_dist_hapi

* delete test_fleet_graph_execution_meta_optimizer & test_fleet_graph_executor

* temporally not delete unittest

* fix unittests

* fix ci

* recover prune in python/paddle/hapi/model.py

* Add expand composite rule

* reshape x when dim_in less than dim_out

* add tile op for expand

* remove rensor shape case when comp prim

* enable cinn case

* dim_out can't be 0

* update test case for prim type

* add register of KthvalueKernel

add register of KthvalueKernel

* Update kthvalue_kernel.cc

* Update kthvalue_kernel.cu

* use python to generate cutlass code

* refine CommonConvKernelPart1, CommonConvKernelPart2

* remove useless code in generate_cutlass_code.sh

* add more config in conv2d_residual

* CommonCutlassConvKernelPart1 and CommonCutlassConvKernelPart2

* add group conv support in util.cu

* remove .sh

* refine name

* make name goodgit status!

* add fuse_alpha

* make code easy to understand

* mot fopen generate in py

* use python script to generate conv2d,group=1 cutlass code

* use const &

* use const & && use python script to generate conv2d/group=1 code

* Update interpreter_util.cc

* Update auc_kernel.cc

* Update auc_kernel.cu

* Update auc_kernel.cc

* Update auc_kernel.cu

* remove with_data_parallel in test_sync_batch_norm_op

* fix debug code

* polish code

* polish code

* polish code

* Update interpreter_util.cc

* Update interpreter_util.cc

* fix the only one circle import in call_transformer.py

* move define of CONVERSION_OPTIONS from convert_call_func.py to program_translator.py

* delete the self import of program_translator.py

* fix import failed problem

* define variable in utils.py

* move is_builtin to utils.py

* move is_builtin to utils.py

* fix import errors

* fix import errors

* fix something

* Update python/paddle/jit/dy2static/call_transformer.py
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* Update python/paddle/jit/dy2static/call_transformer.py

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* [XPU] add increment op.

* fix ci

* [XPU] add reduce_min_grad XPU kernel

* add unittest for reduce_min xpu op

* delete old dygraph op test

* Update interpreter_util.cc

* Update bincount_kernel.cc

* Update bincount_kernel.cu

* Update interpreter_util.cc

* Update is_empty_kernel.cc

* Update is_empty_kernel.cc

* delete old dygraph op test

* Add output defs for all_close all_raw  kernel

* Update interpreter_util.cc

* support run haokanctr model in heterps-models

* polish setup.py

* polish JVM_LIB in evn_dict

* align infer auc with DistPsArch pre-stable

* Add function node in phi_kernel for MKLDNN

* fix the bug in 'BuildInferVarKernelContext'

* add infer_varkernel_utils.cc

* fix the bug:the first two parametes of 'BuildInferVarKernelContext' can't be template variable

* change the code according to first review

* change the code according to first review

* change the mode of paddle_build.sh

* change 'infer_var_kernel_fn_' to 'get_kerneltype_forvar_fn_'

* add the error information

* fix NotFound infomation warning

* fix NotFound infomation warning

* fix NotFound infomation warning