* add spmd and reshard code gen

* add backward reshard code gen

* test matmul forward success

* polish test impl

* add unsafe mutable value

* polish details and add test

* fix unittest time out

* fix typo

* refactor reshard input generate impl

* resolve conflict with develop

* fix compile error

* update

* repalce gflags header

* replace DEFINE_<type> with PD_DEFINE_<type>

* fix bug

* fix bug

* fix bug

* update cmake

* add :: before some paddle namespace

* fix link error

* fix CI-Py3

* allow commandline parse

* fix SetFlagsFromEnv

* fix bug

* fix bug

* fix CI-CINN

* fix CI-Coverage-build

* fix CI-Windows-build

* fix CI-Inference

* fix bug

* fix bug

* fix CI-CINN

* fix inference api test

* fix infer_ut test

* revert infer_ut gflags usage

* update

* fix inference

* remove flags export macro

* revert inference demo_ci gflags usage

* update

* update

* update

* update

* update

* update

* update

* update

* fix bug when turn on WITH_GFLAGS

* turn on WITH_GFLAGS

* fix bug when turn on WITH_GFLAGS

* fix bug when turn on WITH_GFLAGS

* update

* update and add unittest

* add unittest

* fix conflict

* rerun ci

* update

* resolve conflict

support stride

* base rule

* add sharidng merge

* add sharidng axis merge

* define unified data class for inferencing dist_attr

* test wrap DistTensorSpec in dygraph mode

* matmul main logic done

* define unified data class for inferencing dist_attr

---------
Co-authored-by: NYichen Zhang <zhangyichen03@baidu.com>

* [enforce.h Decouple gflags.h] Move gflags.h from enforce.h to enforce.cc

* Add gflags.h for other files

* Add gflags.h for other files

* Add gflags.h for blas_impl.hip.h

* Add gflags.h for miopen_helper.h

* add fused_yaml fused_backward

* fix eager_funciton bug

* add some comment of fused yaml file

* add 'support_dygraph_mode' configuration in fused yaml

* delete some 'fused_api.h' in include file

* add fused flag in api_gen

* remove contexts in tensor_utils

* update from_blob

* update from_blob

* update from_blob

* fix bug

* fix bug

* 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

* fix accurary diff issue when XPU op batch_norm is added to XPU blacklist

* remap op output tensor to input tensor when the op has fallen back to CPU

* rename function name and fix bug causing by InplaceCounter

* move profiler

* fix compile bugs

* move profiler

* add file

* fix mac compile bugs

* fix ci bugs

* fix mac bugs

* fix ci bugs

* fix compile bugs

* perfect code according comment

* fix bug

* fix bugs in api_gen tools

* isort all files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* [CodeStyle][py2][U008] remove unnecessary args in `super()`

* remove remained args

* revert changes in test_pylayer_op

* Revert "revert changes in test_pylayer_op"

This reverts commit ff185a9ae738afac3b0264f61bde6c6b7f72e7c4.

* revert some changes in example code

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* add yaml entry for rnn and rrnn_grad, move infershape function for rnn_grad to phi infer meta

* WIP: move rnn kernrl to phi

* Change the code generation to avoid converting from intializer list to tuple of heterogeneous types.
This is only triggered when an api has intermediate outputs, and the result of the outputs are of heterogeneous types.

* fix the bug that when none in a vector of tensors requires gradient, the conversion to InferShapeContext to InferMetaContext (a.k.a. BuildInferMetaContext) produces errorous results.

* fix ci bugs

* fix ci bugs

* fix ci bugs

* modify code according comment
Co-authored-by: Nchenfeiyu <chenfeiyu@baidu.com>

* support selected_rows kernel for multiply in dygraph

* refine SetKernelOutput

* add legacy_api.yaml

* set merged_momentum inplace only

* support inplace optional<vector<tensor>>

* add dygraph_mode api

* optimize TensorToConstDenseTensorPtr

* fix

* add control flag and input shapes for new dygraph

* fix file mode

* improve code coverage

* fix a bug in statstic

* fix according to review

* optimize performance

* fix

1. change the codegen code to avoid conversion from heterogeneous 'initializer list' to tuple, which fails on gcc 5.4; (#45036)

2. add a template CheckTensorHasNanOrInf to handle arbitary tuple of supported types.

* support auto fallback to  cpu kernel for cusom device

* fix some problem of kernel fallback

* move yaml to phi

* fix undef var error

* support complexd selected_rows kernel in yaml

* support configuring optimizer api in yaml

* fix data transform bug

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* add double_grad and triple_grad inplace info in backward.yaml

* only generate inplace api in forward

* change logic for optimize

* modifty

* optimize the backward speed of EinsumOp

* add cache optimizer for einsum op

* EinsumOp: fix new dygraph mode error

* fix bug

* change Cache->InnerCache

* fix code

* fix

* add nan inf utils for einsum op

* add as_extra

* Compatible with v2.3 EinsumOp

* remove dispensable

* remove storage

* add glog include

* add glog include

* add glog include

Add Code Generation for operators,  op makers and argument mapping functions (#41772)

* update code

* change the return type for inplace dygraph api

* change the tuple construct

* change the output format of C++ backward api

* fix merge conflict

* fix sparse api code auto-gen

* fix eager_gen bug

* fix bug of output is null

* fix bug of conv2d_grad_impl

* fix optional grad

* fix bug of eager-gen double_grad

* fix bug

* fix multiply_double_grad bug

* remove node pruning

* support setting vector out size in yaml

* support setting size of vector<tensor> for out in yaml

* rename scalar_array to int_array

* update cmake

* fix conflict

* remove useless log

* support view strategy in eager_final state

* perfect reshape kernel

* fix bugs of sig

* add unittest for reshape_sig

* fix bugs when run converage

* fix inplace bug in final_state eager_gen

* fix python_c_gen

* support view strategy for final state

* fix order of out and xshape in reshape

* fix Coverage_CI unittest timeout error

* support reshape view

* fix reshape_sig

* fix yml and api_base
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* support intermediate for saprse api

* close intermediate in yaml

* fix dygraph_api dep for eager