* add mean phi kernel

* remove original mean kernel

* add alias name

* move batch size like infershape

* revert other op change

* call infermeta in infershape

* adjust batchsize like pos

* fix build_cinn_pass internal var may be control var problem

* add annotation and vlog by review advice

* support intermediate for saprse api

* close intermediate in yaml

* fix dygraph_api dep for eager

* approve amp for intermediate_dygraph

* add amp_utils for intermediate_dygraph

* add amp needcast check for mlu & npu

* test unittest

* add SetGradNode for set_stop_gradient && add checktensor for GradientHooks

* refine code

* refien unittest of imperative_amp for new dygraph

* inplace api skip amp

* add test_imperative_qat_amp for intermediate amp

* refine code

* refine test_amp ci strategy

* refine unittest code

* refine amp_utils code

* refine amp getpromotetype for some special op

* refine unittest code

* Correct MultipleQuantizeSquash

* Correct logging

* # This is a combination of 10 commits.
# The first commit's message is:
add expert count op

add ut for expert_count

# This is the 2nd commit message:

update UT only for cuda

# This is the 3rd commit message:

fix for rocm

# This is the 4th commit message:

update ut

# This is the 5th commit message:

add moe module

# This is the 6th commit message:

add expert count op

add ut for expert_count

# This is the 7th commit message:

update UT only for cuda

# This is the 8th commit message:

update ut

# This is the 9th commit message:

add moe module

# This is the 10th commit message:

make expert count private

* add assign pos op

* fix upper num name

* add api _assign pos

* add ut for assign pos op

* update date

* fix for win

* update for test (timeout)

* fix ut

* update

* fix ut for number count
Co-authored-by: Nhlygit66666 <2570058140@qq.com>

* make vcvars64 and cuda_version can be set in xly pipe

* make third_party_path reused by ci and build pipe;test=windows_ci_inference;test=windows_op;test=windows_ci

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Add EventsWaiter

* update

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* update

* update Error MSG

* update EventsWaiter

* update
Co-authored-by: Nliutiexing <liutiexing@google.com>

* test=document_fix , fix launch doc

* test=document_fix , fix typo

* Fix rnn, wmt16 docs;test=document_fix

* Fix wmt14 docs;test=document_fix

* Add more description;test=document_fix

* [Auto Parallel] gradient merge pass support dist attribute

* migrate infershape

* fix tril_triu infershape error

* fix qr_op infershape

* add parse qr mode func

* move order

* [Refactor] refactored eager_gen.py PR #1

* [Refactor] refactored eager_gen.py PR #1

* Refactored version 2

* Added automatic code generation utils

* Fixed merge issues

* extract sub-graph

* graph-engine merging

* fix

* fix

* fix heter-ps config

* test performance

* test performance

* test performance

* test

* test

* update bfs

* change cmake

Polish optest: refine the optest parameter logic. support name, dtype, out, output in arbitrary position (#40824)

* 1. add the python api grad 2. add final and intermediate state vlog 3. change the python_api error logic

* add python api or close the check_eager=True

* fix the compatibility

* matmul

* disable unittests: test_elementwise_add_op test_scatter_nd_op test_gather_nd_op test_scatter_op test_index_sample_op test_elementwise_add_mkldnn_op

* refine the logic of prepara_parameter logic

* fix Tensor(gpu) 2 Scalar segment fault.

* Refine eager run_program OP for dy2st UT

* append run_program error string and refine run_program_grad

* remove some comments

* refine ConstructXGradTensors

* [phi] Split selected_rows CMake compilation

* move file back

* move file back

* refactor cost model

* add mul phi kernel

* remove mul op kernel

* remove original mul grad op

* fix cinn test

* fix dygraph test failed

* infrt add trt engine

* fix register

* file generate

* fix ci error

* fix conflict

* add copyright

* update

* update

* update

* update engine name

* refactor trt code

* update

* update

* update

* update

* fix conflict

* update

* refactor code

* first commit

* update pdtensor to denseTensor

* code

* style

* code

* code style

* add the tensor map, test=develop

* update

* update

* update

* trt engine

* update trt mlir and runtime

* update mlir test

* update

* update

* update
Co-authored-by: NDannyIsFunny <912790387@qq.com>
Co-authored-by: NShixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>