* Rewrite strided_slice converter  using  shape tensor 
* clean code

* first version, accuracy corrected

* disable debug print

* use blockReduceSum in phi

* add UT

* add opCompat

* code style

* code refine

* bug fix

* code refine

* test fix

* bugfix

* codesytle fix

* code style

* code-style

* code-style

* code-style

* git

* style

* leave default relu in kernel

* style

* cleanup FCMKLDNN pattern

* merge conflicts

* update develop

* update develop

* add const

* rename to oneDNN and adjust attributes

* whitespace

* cond infer apply exec seprate

* fix bugs

* support generating code of opmaker for backward op invoke forward op

* gsupport code-gen of opmaker for sparse op

* refind logic of choose phi kernrel

* fix complie budg

* fix code_gen bug

* fix bug

* fix kernel signature code-gen

* fix complie bug of VarType

* fix complie bug of VarType

* fix test_sparse_conv_op

* fix test_sparse_norm_op

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* Support allow_partial switch, which can be configure in
pipeline_configs. If sent tensor are not the same from
different hosts, they shouldn't been sent partially and
then concated as a whole tensor.

* Change name allow_partial to enable_partial_send_recv.

* Add global variable _enable_partial_send_recv

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* support pure bfloat16

* support bf16 linear

* update PR to pass CI

* tiny fix where_grad_kernel.cu

* Support bfloat16 type for reducer and sharding.

* Fix some bug.

* Polish code.

* Polise code.

* Add bfloat16 datatype in fill_grad kernels.
Co-authored-by: Nsneaxiy <sneaxiy@126.com>

This reverts commit 166ff39a.

* namespace modify

* update by comment

* first version of ln_s_p with s>0

* refine and UT

* pass opt draft

* pass opt

* code refine

* code-style

* bug fix

* fix ci test

* code style

* skip ReplaceAllReduceOp in GraphtoBlock when nccl_ctxs_ is nullptr

* update ut

* test_dist_allreduce_op failed

* fix test_dist_allreduce_op

* add ut

* fix nccl cpu compile

* fix

* simplify conv_mkldnn op registration

* remove custom type value in conv grad op

* draft with debug print

* Add more record event in run program op

* Refine code

* Restore code

* Rename event

* fix immutable op quantize bugs

* fix

* fix build bug

* fix test

* notest,test=inference

* fix ppyoloe acc drop bugs

* fix test

* fix test

* add test

* fix

* fix

* fix test

* fix refined name bug

* fix test

* bias fix

* fix matmul weight dequant bug

* re-ci

* fix tester

* fix test

* fix tester

* update weight dequantize func

* update code

* update test for converage

* update test

* update cmake

* update cmakelist

* update code

* rerun ci

* remove useless code

Add symbolic shape deduction function for unfold, scatter_nd_add, p_norm, grid_sampler, pad3d, etc (#46291)

* test=infer-coverage

* [BUG]Fix expand_as_v2 bug while X and Y with different dtype

* fix commit

* add rpc module in cpp side

* add rpc module in python side

* support win32 and mac for rpc

* 代码优化

* 优化代码

* update rpc

* update rpc launch

* rpc remove rank and world_size api

* fix logger import bug

* remove support for win and mac

* remove support for xpu, npu, cinn and rocm

* remove support for xpu, npu, cinn and rocm

* fix shutdown barrier timeout bug

* update:python_rpc_handler to shared ptr

* fix master shutodwn first bug

* tests support for cpu

* update log to vlog

* update get service info api

* add single process test case

* remove process group

* remove some useless dependencies

* update rpc api comments

* update rpc comments: Example to Examples

* update rpc api comments

* update rpc api comments

* update launch api comments

* update init_rpc comments

* update rpc sync and async comments

* fix bug: init_rpc cant be called repeatly in a process

* update rpc api comment: make master endpoint unique

* update rpc api:service to worker, timeout_ms to timeout

* rename ServiceInfo to WorkerInfo

* refactor: rename server to worker, log to vlog

* add launch test

* remove unused codes

* refine

* remove class ScopeBase

* reopen test