* suppor sharding api

* support multi api for sharding in eager

* support multi api for sharding in eager

* fix test

* fix test coverage

* move deformable_conv_grad to phi

* move infershape of deformable_conv to phi

* adjust some code format

* move deformable_conv_v1 to phi

* remove flatten infermeta

* fix bugs when run inference ci

* fix bugs when run inference ci

* fix bugs when run ci

* support infrt

* inplace infershape code'

* Add stft_op.

* Add stft_grad_op.

* Add stft_op unittest.

* [DLTP-45176] Add complex compatibility in static mode for stft api.

* [DLTP-45176] Add complex compatibility in static mode for stft api.

* Add doc.

* Update unitests of stft op.

* Update spectral helper.

* fix coding style.

* transfer unsqueeze to phi

* fix conflict

* add squeeze

* add infershape

* fix xpu and npu error

* move activation

* fix bugs when run ce

* add full_batch_size_like phi kernel

* remove fill constant bs like

* update year

* add kernel profiler

* add gpu timer tool

* remove warmup

* fix rocm complilation error

* move mutable_data to context alloc

* move mutable_data to context alloc

* remvoe duplicate code

* move embeding to phi;

* update sig; test=develop

* move reset impl to phi; test=develop

* remove old register; test=develop

* fix cpu bf16 bug; test=develop

* fix lookup speed error

* polish code

* fix paddle throw type

* add reverse phi kernel

* add reverse infermeta

* remove original reverse op kernl & infershape

* fix context pool sync init

* add lock for insert

* optimize performance of  C++ API

* remove stop_data_transform flag temparily

* replace Backend by Place in C++ API

* fix left code

* fix test_to_api bug

* add out_size shape for graph_send_recv

* fix bug in register kernel: no const int& support

* add out_size in infermeta

* change unittest

* fix unittest

* fix out_size default value

* fix doc

* delete arg mapping

* add sig

* move -1 to 0

* move -1 to 0

* modify out and out_grad order in reduce_grad_kernel

* delete unsed boolReduceKernel

* fix conflict

* Refine to_tensor for eager mode

* support gpu_pinned

* refine code

* support gpu_pinned copy_to

* fix layer.__setattr__

* support to_tensor for gpu_pinned

* fix unit test

* refine gpu_pinned

* restore the original code

* add is_gup_pinned() and refine eager.Tensor._copy_to()

* Support MaskedSelectGrad op with Kernel Primitive API

* add pad3d kernel into phi

* add pad3d infermeta

* fix build error

* remove raw pad3d infershape function

* add phi device context pool

* change year

* fix compile error

* fix operator = error

* refine init impl

* polish details

* refine init impl

* Move conv-transpose OPs to phi

* Fix CI errors

* Fix CI errors

* add batch norm infer kernel

* fix value error

* fix is_test error

* fix test failed

* add fuse false cond

* add infermeta

* revert mutable_data change

* add add yaml

* add elementwise add yaml; test=develop

* add norm

* update

* add some yaml config; test=develop

* fix bug; test=develop

* fix compare error; test=develop

* revert erger_gen.py

* update; test=deveop

* remove usless code; test=deveop

* fix bug; test=develop

* fix test error; test=develop

* remove int_type; test=develop

* fix type error; test=develop

* format; test=develop

* remove type register; test=develop

* polish code; test=develop

* fix ci error; test=develop

* call sparse api from python

* add infer meta; test=develop

* add histogram infer meta; test=develop

* fix unitest bug; test=develop

* format; test=develop

* format; test=develop

* bn not use new infer meta; test=develop

* add infer meta; test=develop

* fixbug; test=develop

* fix bug;

* recover unitest; test=develop

* [Eager] Support eager grad interface, draft version

* Support eager grad interface with allow_unused and multi startup_op

* Fix code format

* Fix allow_unused case, return PyNone if tensor not initialize

* Support output's stop_gradient related to create_graph

* Support grad exception case in eager mode, fix coverage CI

* Update ToPyObject, return PyNone if not initialize

* AccumulationNode add FLAGS_retain_grad_for_all_tensor

* Fix ci issue

* Fix CI issue

* fix, use core.eager.Tensor

* Add func SetBufferSlotRankZeros for GradTensorHolder

* Support retain_graph by using ClearTensorWrappers

* Support retain_graph by using ClearTensorWrappers

* Update retain_graph and no_grad_vars related test case

* Update code gen logic for ClearTensorWrappers

* Fix by override statement

* fix override func args

* Support retain_graph, update unit tests

* Updated ClearTensorWrappers logic

* fix grad python interface

* Use deep copy and update unit tests

* Polish code

* Polish code

* Fix CI issue, Deep copy only use when user set grad_tensors

* Fix CI, use Backward instead RunBackward

* Fix CI, Declare kernel explicitly in test file

* Polish, remove vector of TensorWrapper

* Refactor the logic of grad/backward, polish codes

* Update code after merge upstream develop

* Polish after merge upstream develop

* Update to adapt new GradNodeBase superclass

* Fix error introduced during conflict resolution

* support inplace strategy in eager_fluid state

* solve conflict

* nothing

* Update purify potential_startup_nodes logic

* Fix errors

* Polish code

* Remove useless args for ToPyObject

* Remove useless TensorWrappersSet

* fix record conflict

* Fix code-format, re-install pre-commit

* fix tensor_wrapper bug

* Fix pre-process logic for potential_startup_ops

* Update unit tests, use eager mode

* Fix conflicts

* fix unittest timeout

* little change
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

sparse maxpool; kernel_registry support sparse tensor

* add gelu

* fix gelu

* add log_softmax

* add prelu kernel and prelu/gelu/logsoftmax infershape

* fix

* fix

* fix

* fix

* fix ci

* log_softmax rewrite

* fix

* fix

* fix conflict

* fix compile error

* fix comment

* fix

* ci_fix
Co-authored-by: NYan Li <liyan665@gmail.com>

* first commit

* fix compile error

* support std::vector<std::srting>

* fix

* fix op support on GPU by chenweihang

* pass test

* infershape

* add set_dtype

* fix order

* fix

* unify the impl of dt and sr

* fix

* move infershape of roi_pool to phi

* polish code

* tranfer kthvalue from fluid to phi

* transfer infershape

* move reduce_mean_grad kernel into phi

* move reduce_max/min_grad into phi

* remove raw max/min grad kernel

* fix bug

* fix max/min grad error

* move all reduce_grad kernel into one file

* add prod grad kernel

* add infermeta for prod kernel