* Support call backward() without params in dy2st

* support elementwise base func

* fix compiling error and add test

* support vjp for div using comp

* remove additional change

* fix dy2st error with magic num

* fix dy magic num

* another magic

* another magic

* another magic

* add skip rename strategy

* support add vjp

* support add with new axis cal

* support sub vjp

* [prim] add multiply vjp rules

* [prim] add multiply vjp rules

* [prim] fix no infershape with composite in _append_backward_ops

* [prim] add expand vjp rule

* [prim] add exp vjp rule

* uncomment infer shape for reshape/sum static prim api

* [prim] fix tanh nullptr error

* remove some print message

* fix magic number in run_program relative tests @JiaBinYang

* [prim] add expand,multiply,exp vjp rules

* fix only support single direction reduce error

* infer reduce dims using out dims
Co-authored-by: NJiabinYang <360788950@qq.com>

* support the 'data_transform' for generating static graph ops

* reset 'pow' code

* change the 'GetKernelTypeForVar'

* Update warpctc for cuda-12

* Deprecate cudaProfilerInitialize for CUDA > 11

* Deprecate CUSPARSE_MV_ALG_DEFAULT for CUDA_VERSION >= 11040

* Add the missing thrust header

* add outvar name for nvtx mark

* nly network created with kEXPLICIT_BATCH can setsetMaxBatchSize

* [CINN]Switch cinn GIT_TAG from v0.2 into develop

* fix branch name

* specify commit

* disable unittest

* disable unittest

* add trt_support_nhwc_pass

* fix ctr_double_accessor.h

* fix graph_brpc_client.h non-const reference to pointer

* fix common_table.h

* fix graph_py_service.cc, server.cc, server.h

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

* Remove climits.

* Fix bug of paddle.save. It may cause bug for saving sharded optimizer
state_dict() in parallel.

This reverts commit 4d5265b8.

* add gpu_cpu_map_matmul_to_mul_pass to kGpuLowerPrecisionPasses

* disable fc_elementwise_layernorm_fuse_pass in mixed precision

* polish static grad op maker gen

* fix some bugs

* fix static code gen

* solve conflict

* modify composite grad maker name

* [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] Merge dist attrs of Python into C++

* [Auto Parallel] Add back deleted importing

* [Auto Parallel] Add back removed unittest

* [Auto Parallel] Remove type qualifiers of return types

* [Auto Parallel] Fix some bugs

* [Auto Parallel] Fix a bug of the quant pass

* [Auto Parallel] Fix the code style

* [Auto Parallel] Clear some fluid APIs

1 update xccl lib
2 when using comm_ctx, the allocator should be set manually.

* support elementwise base func

* fix compiling error and add test

* remove additional param

* support vjp for div using comp

* remove additional change

* fix dy2st error with magic num

* fix dy magic num

* another magic

* another magic

* add more test

* fix windows problem

* another magic

* fix windows compile

* invoke ci

* add skip rename strategy

* support add vjp

* fix test_tanh

* support add with new axis cal

* fix resnet and some test

* add composite log

* support sub vjp

* enhance_tests

* support more dtype for full

* test

* find paddlepaddle-0.0.0-cp37-cp37m-macosx_10_14_x86_64.whl

* test

* debug

* debug

* debug

* debug

* debug

* debug

* test

* test

* modify inference_problem

* modify gen_fluid_lib_by_Setup

* debug

* debug

* debug

* debug

* debug

* debug

* modify env_dict.py.in

* modify setup.py

* modify env_dict.py

* fix bug

* first commit

* add some changes in stack kernel.

* move the location of GeneralDivMod

* fix code format error according to ci

* add fmha_flashattention oss plugin

* add where, atan2, median 0d ut

* add where, atan2, median 0d ut

* update

* update

* update

* update trt engine to set in/out data type

* update

* Update engine.cc

* Update engine.cc

* update

* set engine output type before freeze the network

* update

* update trt autoscan ut

* update

* update ut

* fix equal bug, update ut

* fix cast and equal ut

* update cast ut using TRT < 8.4

* set datatype from scope

* check output var is nullptr

* Update op_converter.h

* update tensorrt_engine_op_test ut

* update