* fix bug of paddle.to_tensor and paddle.moveaxis

* fix CI

* modify infershape utils and rm reduce infershape

* merge develop

* fix infermete bug

* add IsForInferShape func in ArgumentMappingContext

* add reduce_mean infermeta

* modify annotation

* add default dims

* Add mobilenetv3_large performance test

* Disable the BF16 test if the device does not support BF16 computations

* Change test timeout

* add layer norm

* add p norm

* add reduce sum

* refine layer norm register bf16 for cudnn811

* add bf16 cast for hip

* add unittest

* refine rocm

* refine layer_norm unittest

* refine reduce op

* refine unittest

* enhance atol for reduce unittest

* remove

* pass

* more pass

* add scale gather sum

* refine CUDA_ATOMIC_WRAPPER ADD for bf16

* add gather unittest

* solve conflict

* add scale uinttest

* add sum unittest

* solve conflict

* refine gather unittest

* refine unittest

* add multi input for infer_shape

* support multi output for infershape

* fix split bug

* fix bug of concat

* support vector<MetaTensor*> in infrt

* fix bug

* [Phi] Migrate logical_and/or/not/xor into Phi

* fix unittest

* fix function name

* add reducer

* vectorize lamb kernel

* remove flags, add ut

* remove useless codes

* refine code, add param order

* update;test=cpu-py3

* rename pten_utils to phi_utils

* rename pten_utils target

* rename Pten to Phi

* replace pten with phi

* resolve conflict

* refine bf16 amp-o1 logic

* refine amp GLOG

* refine unittest

* refine unittest

* fix selected_rows bug in C++ API

* add optional for C++ APIO

* data transform support optional

* remove data transform for optional vector<Tensor>

* adjust some format of funtcion

* fix empyt bug

* fix pylayer problem with amp

* add ut

* refine code

* Support custom implement for C++ API

* rename api_invoke_impl to api_custom_impl

* remove manual_api

* delete mutable_data in copy_to api

* fix problem of copy_to

* add unittest for infer_meta_fn_factory

* fix split cofig in yaml

* fix split cofig in yaml

* modify sum api yaml

* add copy_to wrapped infermeta

* rollback copy impl

* Support Eager Hook, expose interface to python

* Fix CI issue

* add multi tensor apply l2 norm

* add multi_tensor_apply code

* make sizeof(TensorMeta) smalller

* move code to distributed_fused_lamb_op.cu

* remove useless FLAGS

* add ele_add

* add ele_mul

* add ele_sub

* sovle conflict

* fix npu

* refine ele_add

* add ele_mul unittest

* refine ele_sub

* refine ci

* refine unittest

* Update IpuStrategy Python Part

* add docs

* add add_custom_op for ipu_strategy

* fix build warning

* rm unneeded part

* clean api

* fix typo

* update option names

* update IpuStrategy doc

* fix eigh test

* modify atol and rtol

* fix maxunpool2d example, test=document_fix

* fix maxunpool2d example, test=document_fix

* added nearest interp v2 bf16

* disabled bilinear interp nhwc test

* added skipping UT for gpu

* added NHWC support

* removed unnecessary statements

* minor change

* CI fix

* added appropriate changes to interpolate_v1

* fix after review

* minor change

* minor change

* revert unwanted deletions

* CI fix

* Refactored GradNodeAccumulation data structure and behaviour

* Fixed CI issues

* Fix compilation issues

* Fixed minor issues

* Reverted changes for intermediate and OverwriteOutput

* fixed minor issue

* Fixed code format issues

* Fixed CI-Coverage issue

* Fixed CI issues

* fix 'invalid escape sequence'

* fix assert error

Add note for Place of Executor in parallel environment

* eager, test=develop

* fix bug, test=develop

* eager, test=develop

* merge legacy to fluid

* eager, test=develop

* eager, test=develop

* Refactor TensorAdd func by template and remove gradient_accumulation in eager

* Remove needless target name

* eager, test=develop

* eager, test=develop

* Use overload instead of template

* Remove legacy code

* Remove legacy code

* selectedrows, test=develop

* Remove DataType test

* eager, test=develop

* eager, test=develop

* support gan, test=develop

* 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

* ptb, test=develop

* Rename all EagerTensor to Tensor

* Rename some EagerTensor to Tensor

* rename EagerTensor to EagerVariable

* eager, test=develop

* eager, test=develop

* eager, test=develop

* eager, test=develop

* add more test

* eager, test=develop

* Support copiable selected rows and merge develop

* save load, eager, test=develop

* save load, eager, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* revert static_runner, test=develop

* EagerTensor to Tensor, test=develop

* refine, test=develop

* refine, test=develop

* clear grad, test=develop

* merge, develop

* merge, develop

* merge, test=develop

* merge, test=develop
Co-authored-by: NJiabinYang <360788950@qq.com>
Co-authored-by: NWeilong Wu <veyron_wu@163.com>