* implement AllocateFrom

* dense_to_sparse_coo

* optimize unit testing; support rocm

* 1. delete fluid related header file
2. update the copyright

* fix hipMemcpy

* update dense_to_sparsecoo

* add namespace sparse

* sparse_csr_to_dense

* test to_sparse_coo: csr_to_coo

* fix writing error

* to_sparse_csr: dense_to_sparse_csr and sparse_coo_to_csr

* fix check shape

* fix unit test

* replace CUDADeviceContext by GPUContext

* adapt selectedrows in execution

* impl selected rows branch

* support selectedrow in infershape utils

* fix device compile failed

* fix new exe test failed

* revert some changes

* refactor custom op kernel func and utils

* add output sync

* adapte tensor* in utils

* fix windows symbol error

* add data_transform in pten api

* support GetKernelTypeForVar

* fix complie problem of bfloat16

* change error namespace

* add complex type transform unittest

* fix merge conflict

* change unary infermeta

* change other infermeta

* change all infermeta format

* resolve conflit

* fix test failed

* resolve reshape conflit

* fix compile failed

* adapt auto api gen

* fix reshape failed

* fix concat failed

* resolve conflict

* dense_to_sparse_coo

* optimize unit testing; support rocm

* 1. delete fluid related header file
2. update the copyright

* fix hipMemcpy

* update dense_to_sparsecoo

* add namespace sparse

* open header for custom kernel

* add core utils

* tidy core code

* tify header

* tidy include

* tidy namespace

* resolve conflit

* fix unittest and coverage

* remove platform using

* resolve conflict

* resolve conflict

* fix digamma namespace error

* fix xpu full kernel error

* fix xpu full kernel error

* polish details

* add place for lib storage

* remove remake densetensor

* fix eager test error

* fix bug in eager

* implement AllocateFrom

* remove WriteBackOutput

* fix problem of eager
Co-authored-by: Nzkh2016 <zhangkaihuo@baidu.com>

* remove remake densetensor

* fix eager test error

* fix bug in eager

* [Demo] custom kernel based on pten kernel

* merge and npu custom work well

* del comments

* delete other code

* fix CUDAContext

* fix not found small_vector.h

* support NPU

* fix NPUContext

* fix DeviceContext support

* add UT

* fix call

* add UT

* fix

* fix for comments and ut

* add MACRO control

* fix multi input output

* support env CUSTOM_DEVICE_ROOT

* deal with special cases

* fix for Windows

* try coverage with test_custom_kernel_dot.py

* fix test_custom_kernel_dot

* fix test_custom_kernel_dot

* fix merge

* fix merge

* fix CI

* update

* merge and fix

* remove WITH_CUSTOM_KERNEL

* fix merge

* merge and fix

* fix ut

* fix ut for mac

* add more UT

* add more UT

* fix

* Added selected_rows and rw_lock to pten

* Renamed the unit test target to fix CI

* Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid

* Remove rw_lock.h,rw_lock_test.cc in fluid

* Use pten::RWLock and pten::AutoRDLock, fix CI

* Use pten::SelectedRows

* Use pten::SelectedRows

* Fix to pass NPU CI

* Use pten::SelectedRows, to pass NPU CI

* To fix NPU CI

* To fix NPU CI again

* transfer: string tinyformat errors and part of enforce into pten

* remove comment

* fix by code review

* assert is not compile in -DNDEBUG

* add string as dependences of paddle_inference

* updates callers, test=develop

* updates tensor, test=develop

* fixes errors, test=develop

* remove some dtypes, test=develop

* fix errors in the base storage modification, test=develop

* fixes a bug, test=develop

* fixes the bugs in push the whole, test=develop

* updates, test=develop

* update

* update, test=develop

* fixes the mac-py3 CI, test=develop

* remove the storage impl, test=develop

* updates some codes, test=develop

* update, test=develop

* updates pten allocation, test=develop

* add config of backward-api auto-gene

* fix compile bug

* remove wrong header

* rename grad_api to backward_api

* modify .gitignore

* Migrate Dim and DDim from paddle::framework into pten namespace

* fix paddle::framework::Array

* fix framework::Array

* Migrate bfloat16/float16/complex from platform into pten::common

* fix typo

* fix code style

* remove MakePtenTensor in BuildKernelContext

* fix a bug caused by storage

* remove WriteBackOutput in dynamic and static mode

* fix complie error of std::max

* fix complie error of std::max

* fix date_type bug

* fix memory alloc bug

* add some debug info

* fix compile problem

* fix problem of data_type check

* comment out some unreached code

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Patched python level LoDTensor

* Merge Tensor into DenseTensor

* Fixed namespace issues,test=allcases

* Fixed merge issues

* Fixed inference issues

* Fixed NPU test issues

* Fixed merge issues

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Fixed example code failure

* Polished function names, removed duplicated forward declarations

* move dot_dev api into dot_kernel.h

* add infermate header

* modify to dotkerel in dot_op.h

* mvoe conj dev api into complex_kernel.h

* move sign dev api into  sign_kernel.h

* move scale dev api into kernel.h and remove infermete.h

* rm paddle/pten/include/math.h

* rm paddle/pten/include/math.h

* rm include dir

* rm paddle/pten/include/math.h

* fix conflict with develop branch

* rm devContext in conj_op.h

* add the missing complex_kernel header

* add pten::Place data structure.

* update ci problem

* fix ci problem

* update

* Added shared_ptr<Allocation> member & corresponding interfaces to Storage

* Removed original pten::Allocation from Storage and adjusted the interfaces accordingly

* Fixed issues with storage offset

* Used place to malloc allocation for TensorStorage

* [Unify Tensors PR #3]Ported framework::Tensor interfaces to pten::DenseTensor

* Fixed issues with place

* Added comments

* Moved mutable_data with stream argument to DenseTensor

* Added set_offset interface

* Fixed CI issues,test=allcases

* [Unify Tensors PR #4] Port LoDTensor interfaces to DenseTensor

* Removed friend class EigenTensor/EigenMatrix/EigenVector from Tensor

* Modified framework::Tensor to inherit from DenseTensor

* Reverted changes too pten_layout() interface

* Removed friend classes

* Rearranged cfunction calls from tensor.data<void>() to tensor.data()

* Fixed CI issues

* Fixed lite issues

* Fixed data() interface issues,test=allcases

* Resolved IsInitialized() issues

* Fixed ResetHolder() issues

* Fixed MKLDNN & Storage issues

* Resolved ShareBufferWith() issues

* Fixed LoD issues

* unify infer_shape func calling

* support set grad infer shape fn for custom op

* unify infershape in new executor and eager

* remove todo comment

* revert infershape in operator

* change 'math' to 'math_kernel'

* fix compile bugs

* merge develop

* fix compile bugs

* move cpu_impl of elementwise kernel to new directory

* unify data layout

* fix test_transfer_layout error

* change 'math' to 'math_kernel'

* fix compile bugs

* merge develop

* fix compile bugs

* remove offset in storage

* revert api change

* fix custom op slice bug

* fix mutable_data error

* Rearranged Eager AutoCodeGen directory structure

* Removed USE_OP in Eager AutoCodeGen

* Enabled generation for Operators without Grad/Inputs/Outputs

* Resolved operators without input

* Fixed merge conflicts

* Enabled Eager AutoCodeGen for 10+ more operators

* Refactored Eager AutoCodeGen with more organized helper objects

* Enabled Eager AutoCodeGen for operators with multiple OpBases

* Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument

* Handled Dispensable Inputs/Outputs in Eager AutoCodeGen

* Adjusted function generation/call between Python-C API & Dygraph API

* Synchronized auto-generated Python-C API with Dygraph Forward Functions

* support more eager tensor api

* fix merge compile error

* fix compile error and fit develop code

* support pure CPU

* fix some logic error in eager_mode

* support _varbase_creator in eager mode

* Added safe_initialized interface to EagerTensor for use in processing dispensable inputs

* for eager mode

* refine

* support multiple constructor for eager tensor

* add place related code

* polish code

* specific randint with dtype of int64

* Support pure cpu test

* eager logic

* refine test in pure cpu

* eager logic

* eager logic

* eager logic, test=develop

* skip core.eager when in inference, test=develop

* refine, test=develop

* refine, test=develop

* call RetainGrad after run forward kernel, test=develop

* refine, test=develop

* support dygraph util, meta, guard test

* support inference test

* refine test and fix initializer failed

* support create varbase and fix retain grad error

* fix windows error

* support test code coverage

* support test code coverage

* support test code coverage
Co-authored-by: Njim19930609 <jim19930609@gmail.com>
Co-authored-by: NWang Huan <wanghuan29@baidu.com>

* refactor matmul directory in pten

* fix merge conflict