* Add comments for #50886

* [Tensor Operants & Prim-Relevant] Tensor supports logical operants

* add prim dynamic unit test

* add prim static unit test

* [Tensor Operants & Prim] Tensor pow API uses elementwise_pow

* unittest change to fill_constant+elementwise_pow

* change phi tensor_gen->tensor_operants_gen

* [Tensor API] Support multiple Tensor C++ api

* [Tensor API] Unsupport prob Tensor API

* accept reviewers comment of #50731

* delete tensor_api.yaml

* polish namespace

* change static_tensor_operants

* polish namespace

* support add, subtract, divide

* add unit test

* polish unittest

* fix cmake error

* solve conflicts, merge auto code-gen

* add scalar operator in tensor.h

* tensorbase

* static prim full support more datatype

* fix prim unittest

* polish codes

* fix cmake error

* change phi tensor_gen->tensor_operants_gen

* [Tensor API] Support multiple Tensor C++ api

* fix py::array_t calling bug

* fix typo, implemention->implementation, test=document_fix

* polish tensor operants implementation

* change year, 2021->2023

* autogen tensor.h and tensor_api.cc

* polish CMakeLists logic

* cancel tensor.h auto-gen

* clean useless parameter

* delete tensor_api.cc

* polish tensor operants implementation

* change year, 2021->2023

* polish namespace

* change static_tensor_operants

* polish namespace

* support add, subtract, divide

* add unit test

* polish unittest

* fix cmake error

* polish unittest

* Tensor support void* data() function

* add unittest

* add selectedRows unittest

* polish unittest

* polish unittest

* polish unittest

* polish unittest

* init commit

* fix tensor operator*

* fix compile bug

* bug reproduce

* update commit

* polish codes

* fix compile bug

* test begin

* test begin

* compile finish

* restore origin composite_backward_api

* pass local CI

* fix merge error

* fix merge error

* change py_test from GPU->CPU, test custom op

* polish codes, modify prim unittest

* modify prim unittest

* determine phi_tensor_operants location

* polish codes

* add header file

* solve windows unresolved symbol

* fix some CI error

* add overload defination

* fix CI inference and Windows

* polish codes according to reviewers' opinion

* polish codes according to reviewers' opinion

* namespace modify

* update by comment

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

* enable eager mode on xpu, test=kunlun

* add numpy support to xpu

* fix tensor using error

* fix  error, test=kunlun

* fix failed tests, test=kunlun

* Add core.eager.StringTensor __init__ which pyarray args can be passed

* Add the numpy method of core.eager.StringTensor

* revert tensor.to_string modification

* Add ToPyObject for core.eager.StringTensor

* Add debug string for core.eager.StringTensor

* Remove place args of core.eager.StringTensor temporarily

* Fix check string_tensor error

* remove dtype of core.eager.StringTensor

* add core.eager.StringTensor unittest

* remove pstring from VarDesc

* Add InitStringTensorWithStringTensor

* Remove to_string modification

* Remove zero_copy arg from StringTensor creator

* remove old custom op placetype

* replace dist  placetype using

* add with gpu macro

* fix mutable_data error

* fix set value error

* add comment

* add context pool unittests

* fix timeout

* polish details

* change option pos

* add dll decl for wndows

* fix pre-commit error

* move dll_decl and export DeviceContext

* replace lost dll_decl.h

* fix eager gen opti bug

* polish code

* fix some bug

* fix some bugs;

* [Refactor] refactored eager_gen.py PR #2

* [DoubleGrad PR #1] Decoupled code generation logics for Dygraph ForwardFunctions and GradNodes

* Fixed minor issue

* Adjusted logics of GenerateNodeCreationCodes and GenerateForwardDefinition

* Fixed issues

* Supported higher-order grad node generation

* [DoubleGrad PR #4] Supported higher-order GradNode generation

* [DoubleGrad #4] Bug Fixes to Double Grad Node Generation

* Fixed yaml typo

* Fixed yaml typo

* fixed minor issues

* [DoubleGrad PR #5] Enabled gradient computations for grad_tensors passed to paddle.grad()

* Fixed minor issue

* Fixed CI-Inference issue

* Fixed CI-inference issues

* suppor sharding api

* support multi api for sharding in eager

* support multi api for sharding in eager

* fix test

* fix test coverage

* replace Backend by Place in C++ API

* fix left code

* fix test_to_api bug

* 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()

* call sparse api from python

* [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>

* Optimize performance

* optimiaze c++ api performance

* remove unsed code

* fix paddle throw

* updata format

* fix copy_ problem by doing it with phi copy

* improve test coverage

* refactor copy with sr kernel

* rename pten_utils to phi_utils

* rename pten_utils target

* rename Pten to Phi

* replace pten with phi

* resolve conflict

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* Unify paddle/pten::framework::ddim into pten::ddim

* fix paddle namespace

* compile sucessfully

* fix npu src file

* fix conflict

* fix conflict

* fix tensorrt compiler error

* fix conflict

* fix conflict

* fix tesst file conflict

* fix conflict

* fix mlu file conflict

* fix mlu file conflict

* fix cinn header file conflict

* fix conflict

* fix conflict

* fix conflict

* fix conflict

* merge legacy to fluid

* Remove legacy code

* Remove legacy code

* Remove DataType test

* Using Tensor directly instead of using EagerTensor

* support gradient_accumulation

* make test_imperative_lod_tensor_to_selected_rows longer

* make test_imperative_lod_tensor_to_selected_rows longer

* refine code

* Rename all EagerTensor to Tensor

* Rename some EagerTensor to Tensor

* rename EagerTensor to EagerVariable

* add more test

* merge develop and refine code

* merge legacy to fluid

* Remove legacy code

* Remove legacy code

* Remove DataType test

* Using Tensor directly instead of using EagerTensor

* support gradient_accumulation

* make test_imperative_lod_tensor_to_selected_rows longer

* make test_imperative_lod_tensor_to_selected_rows longer