* add activ

* refine unittest

* refine unittest

* refine unittest

* refine unittest

* refine code

* 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

* #1 migrate dist-related type()-> dtype()

* move datatype function from pten -> fluid/framework

* change type() in imperative into convert(dtype())

* modify xx_tensor->type into xx_tensor->dtype

* change the set_type interface and the caller

* modify xx_tensor.type into xx_tensor.dtype

* fix mutable_data(place, dtype())

* change caller of mutable_data in pten and distributed

* change the caller of mutable_data in fluid/framework

* change the caller of mutable_data in imperative directory

* mutable_data: inference

* update the call of mutable_data

* transfer MakePenScalarArray MakePtenScalar ResetHolderWithType

* pass the compile. the next step is remove VarType in Pten

* fix all and remove VarType from pten. success in linux. Next task is other platform

* fix conflict with develop

* fix compiled error

* Fix reset conversion

* fix conflict

* fix compiled problem

* fix typo

* Fix << in tensor_utils.cc

* fix type->dtype

* fix unittest

* fix tensor init constructor

* fix DataTypeSize for BFloat16

* fix code style

* fix npu compiled error

* fix npu

* compile npu sucessfully

* fix conflict

* fix conflict
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* move operators/math/math_function_* to pten/kernels/func
* namespace from `paddle::operators::math` to `pten::funcs`

* optimize kunlun/xpu softmax_with_cross_entropy add add unitest
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

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

* fix paddle::framework::Array

* fix framework::Array

* 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

* add pten::Place data structure.

* update ci problem

* fix ci problem

* update

* using platform::Place=pten::Place

* remove BOOST_GET_CONST for CPUPlace and GPUPlace

* compile pass 25%.

* compile pass 45%

* compile pass 60%

* remove boost_get for xpu npu mlu and ipu

* compile pass on cpu and gpu.

* fix compile problem

* fix compile error.

* update

* fix ci problem

* update

* ci approve

* fix ci problem

* fix ci eager test problem

* remove BOOST_GET_CONST

* fix npu compile

* 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

* [NPU] reorganization for device API abstraction

* [NPU] delete old files

* [NPU] fix npu_collective_helper

* [NPU] fix collective_helper

* [NPU] fix ut

* [NPU] mod memory allocation and hccl_helper

* [NPU] fix place_type

* [NPU] split enfoce.h

* move acl* call into npu_info

* merge conflict

* fix merge

* merge conflict

* merge conflict

* move extension into pten [no-verify]

* append tensor methods by ext_tensor [no-verify]

* append other tensor methods [no-verify]

* ext related files tidy [no-verify]

* include relation tidy [no-verify]

* add pten tensor test [no-verify]

* replace tensor in custom op & compile success

* refine tensor constructor for unittest

* custom relu jit run success

* fix all custom op unittests

* add inference cmake adapt [no-verify]

* fix failed unittests

* fix windows failed unittests

* try to fix kunlun and inference failed

* fix test_elementwise_api error

* try to fix win compile failed

* fix kunlun fp16 type error

* remove useless haddle error macro

* add custom linear op test

* fix compile failed & add win symbols

* fix non pten kernel cast failed

* add dll decl for api

* polish several deetails

* polish details by review comment

* add dll_decl for register

* aaaa

* add some ops support fp16 in kunlun2

* add clear_float_status op

* refine infershape

* fix typo

* refine check_finite_and_scale

* refine code

* refine ~npuOpRunner

* implement destructor and forbid copy

* use reference to avoid copy

* use const reference

* relax adam precision

* fix top_k

* refine update_loss_scaling npu kernel

* add mutable_data

* change Zerolike op to MemcpyAsync

* delete useless code

* add found_inf_vec

* add memcpy if not finite

* fix unittest

* optimize update_loss_scaling_op by fused for loop to one kernel, test=develop

* remove useless while loop and optimize variable name, test=develop

* optimize variable name from out_addrs_tensor to out_addrs_mem, test=develop

* optimize variable name for readable by change prefix identifier from t_ to local_

* refactor_check_finite_and_scale_npu_kernel

* fix compile

* add alloc_float_status op

* add alloc_float_status op

* add FloatStatus for check_finite_and_unscale

* refine code

* remove unneccessary logic

* refine for fleet

* [NPU] support GarbageCollector for npu (#31874)

* support GarbageCollector for npu

* fix typo

* fix gather_grad

* disable NPUDefaultStreamGarbageCollector on NPU

* [NPU] support npu for memcpy op (#31808)

* support npu for memcpy op

* add ut

* fix ut

* fix typo

* 【NPU】fix bug of using temp vector (#31963)

* fix bug when beta1_pow on cpu (#31995)

* [NPU] support npu profiler (#31684)

* support npu profiler

* add python api

* fix bugs

* add wrapper for incomplete type

* update profile proto

* record npu wait

* add xpu placeholder

* fix adam (#32016)

* [NPU] enable async copy and  add wait before sync operation (#31956)

* enable async copy and  add wait before sync operation

* remove unneccessary wait

* add FillNpuTensorWithConstant

* refine

* fix fill_constant

* make TensorFromVector/TensorToVector sync

* [NPU] Support dataloader on npu place. (#31867)

* [NPU] Wait on NPUPlace (#32086)

* [NPU] fix cast op (#32121)

* fix npu kernel of cast op to handle casting to same dtype

* add comments

* [NPU] support cann 20.3 (#32044)

* fix compile problem on cann 20.3

* fix ut

* fix test_mul

* fix check_finite_and_scale

* fix lookup_table_v2_grad

* fix cmake

* support print op

* [NPU] Support npu save load (#31893)

* support save load for NPU

* add save load npu unittest

* support np.array transform in NPU

* fix errors

* delete dygraph in unittest

* add Wait

* fix unittest

* fix review comment

* fix unittest problem

* fix little problem

* change aclrtSynchronizeDevice to aclrtSynchronizeStream for better performance (#32196)

* change aclrtSynchronizeDevice to aclrtSynchronizeStream for better performace

* refine code

* fix NPUDeviceContext in all c++ unittest (#32198)

* fix NPUDeviceContext in all c++ unittest

* refine log
Co-authored-by: Npangyoki <pangyoki@126.com>

* [NPU] Remove TensorFromVector and avoid sync copy in npu op kernel for better performance (#31994)

* enable async copy and  add wait before sync operation

* remove unneccessary wait

* add FillNpuTensorWithConstant

* refine

* fix fill_constant

* change TensorFromVector to FillNpuTensorWithConstant

* fix ignored api

* delete extra unittest

* fix little error

* fix update_loss_scaling_op_npu and check_finite_and_unscale_op_npu

* change TensorCopySync to TensorCopy

* delete useless Wait and add StreamWait

* fix npu_stream error

* fix check_finite_and_unscale_op_npu TensorCopy

* only save stream wait

* fix NPUDeviceContext in all c++ unittest

* delete wait
Co-authored-by: Nzhiqiu <chenqiuliang@baidu.com>

* delete useless unittest file (#32206)

* Fix op test (#32231)

* fix conditional block (#32243)

* fix adam bug again (#32246)

* fix compile

* fix ut

* fix ut
Co-authored-by: Nliym27 <33742067+liym27@users.noreply.github.com>
Co-authored-by: Npangyoki <pangyoki@126.com>

* merge 31065

* Fix typo of selected_npus (#31230)

* merge 31249

* [NPU] Support npu op pow and pow grad (#31247)

* [NPU] Support npu op: (1) pow (2) pow_grad

* Support fp16

* Fix pow npu fp16 test (#31256)

* support list of list attribute for NPU (#31299)

* support list of list attribute for NPU

* fix compile problem

* fix reference

* [NPU] Support npu op: (1) slice (2) slice_grad (#31275)

* fix reading flags from env (#31329)

* merge 31347

* [NPU] Support npu op layer_norm and layer_norm_grad (#31310)

* init commit, add layer_norm npu kernel

* fix typo

* add unittest

* add unittest

* fix bug

* fix bug

* refine ut

* [NPU] add npu kernel for equal op (#31393)

* add npu kernel for equal op

* refine code

* add more ut

* update year

* [NPU] Support npu kernel for shape op  (#31427)

* add shape npu

* fix

* fix

* fix endif (#31431)

* Fix pow, use fillD instead of broadcast (#31433)

* Fix pow, refine code (#31440)

* fix cmake of cryptopp to avoid downloading every time (#31451)

* [NPU] squeeze and unsqueeze op for ascend (#31452)
Co-authored-by: Nroot <xiayanming@baidu.com>

* Support npu kernel for gather op (#31458)

* add gather npu op

* code review done

* update python new line

* precommit

* fix review

* del commit

* 【NPU】add scale op for npu (#31499)

* add scale npu

* fix

* fix

* Support TensorFormVector, TensorToVector of bool type (#31518)

* support TensorFormVector, TensorToVector of bool type

* add ut

* fix compile problem

* 【NPU】support npu kernel for fill_constant op (#31521)

* add fill_constant npu

* add fill_constant npu

* fix

* cherry-pick 31422, solve conflict

* 【NPU】Support npu kernel for matmul op (#31544)

* add matmulv2_npu

* add matmul

* add matmul

* [NPU] Support npu op elementwise_mul and elementwise_mul_grad (#31571)

* [NPU] Support npu op elementwise_max (#31574)

* 【NPU】add relu op for  npu (#31515)

* add relu npu

* fixed

* fix

* 【NPU】Suppert npu kernel for reshape2 op (#31524)

* add reshape2 npu

* add reshpe2

* [NPU] Support npu kernel for gather op fix bug (#31541)

* add gather npu op

* code review done

* update python new line

* precommit

* fix review

* del commit

* update gather_grad

* fix bug

* fix bug

* [NPU] Support npu kernel for amp_check_finite_and_unscale_npu op (#31457)

* Support npu kernel for amp_check_finite_and_unscale_npu op

* support EnforceNotMet exception

* fix exception bug

* modify python unittest

* precommit

* update c++ unittest

* fix review

* fix review

* [NPU] accuracy op (#31492)

* accuracy op

* fix license

* fix

* add test and fix bug

* [NPU] add Assign OP (#31561)

* add assign op

* add test assign npu test

* dele if def
Co-authored-by: Noyjxer <1728722986@qq.com>

* [NPU] fix npu op elementwise_mul_grad (#31592)

* 【NPU】Support npu op gelu and gelu_grad (#31530)

* Support npu op gelu and gelu_grad

* Support npu op gelu and gelu_grad

* [NPU] fix assgin cmake (#31595)

* fix gather_grad bug (#31607)

* [NPU] add range op (#31560)

* add range op

* fix codestyle; call GetSize directly
Co-authored-by: Noyjxer <1728722986@qq.com>

* 【NPU】Support npu op elementwise_div and elementwise_div_grad (#31573)

* Support npu op elementwise_div and elementwise_div_grad

* Support npu op elementwise_div and elementwise_div_grad

* Support npu op elementwise_div and elementwise_div_grad

* [NPU] Support npu op log, log_grad, sqrt, sqrt_grad, square, tanh and tanh_grad (#31600)

* [NPU] Support npu op logicalnot_op (#31534)

* [NPU] Support npu op elementwise_min (#31575)

* [NPU] Support npu op elementwise_pow (#31576)

* [NPU] Support npu op table_lookup_v2 and table_lookup_v2_grad (#31399)

* [npu] support npu kernel `table_lookup_v2`

* clean up

* +python test

* +cmake

* clean up

* remove int8 kernel
+ python unitest for fp16

* clean up

* [NPU] support npu kernel for `less_than` (#31327)

* [npu] support npu kernel for `less than`

* remove int* kernel

* cleanup

* [NPU] Support npu kernel scatter op (#31624)

* Support npu kernel scatter op

* Add more test

* [NPU] fix allocator min chunk size (#31632)

* [NPU] Support NPU kernel cast op (#31635)
Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>

* [NPU] add npu kernel for sgd (#31639)

* 【NPU】Support NPU kernel for reduce_sum op v2 (#31620)

* add reduce_sum

* fix broadcastd

* fix test

* fix

* add unsqueeze in reduce_sum

* add template

* add unittest for keep_dim

* test reduce_all
Co-authored-by: Nfrankwhzhang <frankwhzhang@126.com>

* [NPU] add npu kernel for adam (#31644)

* add npu kernel for adam

* refine code

* disable test

* modify atol

* 【NPU】Support npu kernel for mul op (#31584)

* add mul

* add test mul

* [NPU] add npu kernel for softmax_with_cross_entropy (#31656)

* init

* fix bugs

* [NPU] add npu kernel for mean Op (#31562)

* update mean op

* update mean op

* give a better test activation
Co-authored-by: Noyjxer <1728722986@qq.com>

* Revert "[NPU] add npu kernel for mean Op (#31562)" (#31665)

This reverts commit 468ac699.

* 【NPU】Add TensorCopy to NPU kernel for reduce_sum op  (#31667)

* update unittest

* add TensorCopy in npu grad kernel

* [NPU] Support npu op `expand` (#31405)

* [npu] support npu kernel  for `expand`

* [NPU] fix shape of dx in mul_grad (#31675)

* fix shape of dx

* refine code

* [NPU] add Increment op (#31563)

* add increment

* fix

* update test increment op inplace

* update increment op

* increment b = 2
Co-authored-by: Noyjxer <1728722986@qq.com>

* [NPU] add NPU add topk  (#31596)

* add topk op

* add cmake

* update topk npu op

* refactor func

* fix test not go npu TopKD bug

* NPUPlace(4) to NPUPlace(0)

* update comment
Co-authored-by: Noyjxer <1728722986@qq.com>

* [NPU] Support NPU kernel sum op (#31671)

* [NPU] npu support `transpose` (#31486)

* cherry-pick 31564, solve conflict

* [NPU] Fix bug: Fix calculation errors of pow grad npu kernel (#31699)

* [NPU] Support testing grad of NPU ops in OpTest (#31697)

* [NPU] Support NPU kernel of stack op (#31711)

* [NPU] Remove redundant ctest of top_k_op_npu_test (#31718)

* [NPU] fix reshape npu op kernel (#31726)

* rename npu op file

* fix reshape

* [NPU] change transpose to transpose2 (#31734)

* change transpose to transpose2

* fix bug

* [NPU] Support  mean npu kernel (#31729)

* [NPU] fix some bugs of npu op (#31739)

* fix softmax

* fix mean

* fix lookup_table_v2

* 【NPU】Fix npu kernel elementwise_div_grad  (#31753)

* [NPU] fix the grad kernel diff bug of gather op (#31757)

* fix gather grad kernel diff

* fix gather grad kernel diff

* fix gather review bug

* 【NPU】Fix reshape test & add grad test (#31776)

* fix

* fix

* [NPU] support fp16 for npu accuracy op (#31797)

* [NPU] support list of tensor input (#31801)

* support list of tensor as npu input

* add comment

* fix typo

* fix typo

* [NPU] add npu kernel for concat op (#31695)

* add npu kernel for concat op

* add npu kernel for concat op

* refine code

* update

* refine concat_grad

* [NPU] Support npu kernel for op elementwise_floordiv (#31822)

* [NPU] fix bug of lookup_table_v2_grad (#31834)

* [NPU] support default stream (#31510)

* [NPU] support mixed precision input for npu layer norm (#31847)

* support mixed precision input for npu layer norm

* fix layer_norm npu kernel
Co-authored-by: Nzhiqiu <chenqiuliang@baidu.com>

* 【NPU】Support npu kernel for update_loss_scaling op (#31830)

* add update_loss_scaling_npu NPU kernel

* change TensorFromVec to Memset

* fix compile problem (#31850)

* [NPU] support npu for conditional_block op (#31854)

* 【NPU】Add int dtype kernel for reshape2 op (#31864)

* fix

* fix

* [NPU] fix some op bugs (#31855)

* fix some op bugs

* fix some bugs

* follow comments

* fix log level

* add ut

* [NPU] support fp16 of input for api pow (#31871)

* [NPU] add npu kernel for truncated_gaussian_random op (#31654)

* init

* add todo

* add npu kernel for truncated_gaussian_random

* add sync

* fix concat_grad

* fix typo

* fix compile

* fix compile

* fix compile

* fix compile

* fix compile

* fix compile

* fix code style

* fix code style

* fix code

* Fix op test (#32231)

* fix conditional block (#32243)

* fix style code
Co-authored-by: Nxiayanming <41795079@qq.com>
Co-authored-by: NLeo Chen <chenqiuliang@baidu.com>
Co-authored-by: Nliym27 <33742067+liym27@users.noreply.github.com>
Co-authored-by: NReventon_L <luyuxiang1994@qq.com>
Co-authored-by: Nroot <xiayanming@baidu.com>
Co-authored-by: Noyjxer <1728722986@qq.com>
Co-authored-by: Nyinhaofeng <66763551+yinhaofeng@users.noreply.github.com>
Co-authored-by: NOleNet <olenet@126.com>
Co-authored-by: NMeiyim <chen_xuyi@outlook.com>
Co-authored-by: Noyxuan-11 <963650125@qq.com>
Co-authored-by: Npangyoki <pangyoki@126.com>

* use iwyu clean include second time, test=develop

* add cast ops before and after unsupported fp16 ops.

* Keep partial net in FP32 pattern.

* Support check_finite_and_unscale and update_loss_scaling for FP16 calculation mode.

* Add fp16 support for adam op.

* add multi precision attr for adam.

* Fix the bug of test_multi_precision_fp16_train UT.

* Code format for CI.

* Fix the redefine error about MPTypeTrait on windows.

* fix bugs of the _create_accumulators func in Momentum.

* fix bug when inserting post cast op.

* Add the update_loss_scaling op in allow_set of UnusedVarCheck.

* Update for ci coverage.

* Add some doc for OptimizerWithMixedPrecision.

* Fix the code style.

* Imporve the doc of `amp_init`.

* Change for fp16 testing if users have the infer program defined in separate way.

* remove tensor copy in the update_loss_scaling op

* not use thrust.

* fix some cuda memory access error.

* Compiling operator libraries with Unity Build on Windows CPU.

* Compiling operator libraries with Unity Build on Windows GPU, no_test, test=windows_ci

* Add option in windows ci script, no_test, test=windows_ci

* Optimize parallel compiling, test=develop

* remove limit of parallel compile and skip some ops in UB, test=develop

* remove changes of header file, test=develop

* remove changes of header file, test=develop

* fix test_eye_op unittest failed, test=develop

* Compiling operator libraries with Unity Build on Linux, test=develop

* set default WITH_UNITY_BUILD=OFF, test=develop

* Move unity build rules into a single file and add comment, test=develop

* optimize parallel compilation, test=develop

* fix undefined reference error on coverage ci, test=develop

Update amp_check_finite_and_scale_op and add an updating_loss_scaling op for static graph amp training. (#26240)

* update amp_check_finite_and_scale_op for static_amp.

* use amp_check_finite_and_scale in static graph amp.

* update grads to zero when grads own infinite values(as for amp_checkout_finite_and_scale op).

* add update_loss_scaling op in cpp.

* add update_loss_scaling_op unit test.

* update the doc of the check_finite_and_unscale op

* Update the process of gradients updating skipping if the gradients have infinite values.

* update the way to zero grads.

* update test_update_loss_scaling_op.py

* add log info when find infinite grads.

* add the unit test for UpdateLossScaling Layer.

* add auto_cast, test=develop

* add loss scaler, test=develop

* add comments, test=develop

* refine code, test=develop

* refine code, test=develop

* do not set flags automatically, test=develop

* fix custom op bug, test=develop

* add more test, test=develop

* refine enable logic, test=develop

* enable amp test with GPU, test=develop

* add unittest

* add test for found_inf

* follow comments

* follow comments

* remove global variable, use singleton

* add some notes

* update comments

* update comments

* update comments

* add use_dynamic_loss_scaling argument

* refine found_inf

* refine found_inf

* refine isfinite, test=develop

* use namespace std of isfinite, test=develop, test=win_gpu