* run python api in eager model and filter the out in argument list

* fix code

* [NPU] add AMP O1 support

* [NPU] fix NOTE and warnings

* Added more signposts to dygraph profiling

* Fixed minor issues

* Refactored signpost names

* Fixed typo

* Removed debug codes

* Fixed typo

* Adjusted signpost names

* Fixed issues from branch merge

* move one hot to phi; test=develop

* fix bugs; test=develop

* fix bugs; test=develop

* add infer meta; test=develop

* fix bugs; test=develop

* resolve confilct

* resolve confilct

* fix bug;

* fix error; test=develop

* update; test=develop

* polish code; test=develop

* add one api in eager mode; test=develop

* add one hot test; test=develop

* remove use less code; test=develop

* fix bug; test=develop

* polish code; test=develop

* polish code; test=develop

* Move Pool OPs to phi

* Fix CI error

* Fix conflicts

* fix eager benchmark test failed

* fix test_tracer failed

* remove needless deps in unittests

* add gpu marco

* fix other unittests

* fix kernel name error

* fix test_prepare_op

* fix failed dygraph unittests

* fix gpu failed tests

* fix cinn test failed

* fix cinn test failed

* fix dropout tests

* add reduce_sum grad kernel

* add reduce_grad

* modify reduce grad

* update reduce grad functions

* fix build error

* add argument mapping

* move cast input after grad

* add dims.size=1 cpu reduce_sum grad compute method

* update reduce grad GPU

* remove raw reduce_sum_grad kernel

* modify header files

* add namespace funcs for reduce_grad_funcstions

* save code

* fix bug of set_value

* add coverage test

[Phi]Move Relu/Cos/Sin/Tan/Acos/Asin/Atan/Sinh/Cosh/Asinh/Acosh/Atanh kernels in Activation to Phi (#40175)

* move activation op

* adjust code format

* fix compile bugs

* fix ci bugs

* code format adjust

* code format adjust2

* activate ci status

* modify according to comment

* add python api test in TestOp

* test_python_api if self.python_api is set

* fix code by CR

* [MLU]support reduce tensors on mlu

* [MLU]fix compiler options

* add check for backward hook

* refine ut

* [MLU] adapt matmul op

* [MLU] fix phi namespace

* remove SetAllocationForOutputTenosr

* add place param for copy kernel

* recover SetAllocationForOutputTenosr

* polish code

* fix empty_dev api bug

* remove reseting dtype and layout for output in executor

* fix merge bug

* [Phi] Add ClearHolder when re-alloc on new place in DeviceContext

* fix hostAlloc

* remove setting output allocation

* remove full_kernel_impl.h

* fix bug of xpu full_like
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* add align for WorkQueue

* add spinlock

* merge develop

* merge

* Add EventsWaiter

* Revert "Add EventsWaiter"

This reverts commit e206173aa9be7401b83a53581627bfaf557c8fb2.

* Add host_trace_level env variable

* Revert "Optimize perf of softmax_with_cross_entropy (#39553)"

This reverts commit bbe5228c.
Co-authored-by: Nliutiexing <liutiexing@google.com>
Co-authored-by: NZzSean <18818272991@163.com>

* 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

* rename pten to phi

* fix infrt compile failed

* resolve conflict

* [Phi] Fix XPU OP segmentation Fault problem

* fix cast_op_xpu in kunlun1

* fix cast_op_xpu in kunlun1

* [MLU] add cncl parallel context and mlu resource pool

* [MLU] fix the cncl_context_test

* remove fill_any_like kernel in fluid and fix data transform bug

* support scalar in infershpe

* recover infershape in fill_and_like

* change Vector to std::vector and provide MixVector class as a helper wrapper class

* solve the multi-gpu hang problem

* remove the duplicate template instantialize

* Copy vector to cpu

* add CopyToCPU

* xxx

* final version: fix the problem of all reduce

* remove mixvector dependence

* fix

* merge

* fix code

* fix by CI

* [Phi] Migrate unfold_op into phi

* fix im2col CPUContext template instantial

* fix unfold_op.h header include problem

* fix unittest

* fix PT->PD

* rm reduce_sum raw kernel

* remove reduce_mean kernel

* remove reduce_mean kernel

* reduce support int and int64_t

* mean support int and int64_t type

* fix RecordEvent interface

* modify default level to 4

* update interface use

* add const default trace level

* update record event interface using

* update record event interface using

* update operator.cc

* update part2

* update part1

* fix include profiler.h header in ps server

* fix include profiler.h header in ps server

* fix profiler.h header

* 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

* fix RecordEvent interface

* modify default level to 4

* update interface use

* add const default trace level

* update operator.cc

* move blas related files
* move lapack related files

* support dtype param for auto_cast

* add amp_dtype for tracer

* add unsupported bf16 list

* support bf16 amp for O2

* refine python interface for bfloat16

* refine code

* refine code

* refine unittest

* refine code

* refine code

* add bf16 o1

* refine code by comment

* add gradient accumulator

* add recompute

* [MLU]add matmul and matmul_v2 op

* [MLU] fix data_type and del matmul

* [MLU] fix compile error

* [MLU] fix ci_check error

* 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

* fix different device gradient_accmulator bug

* merge develop

* remove useless tests