* 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

* [MLU]support calling mlu op from python interface

* [MLU]fix

* fix

* [mlu]fix mlu_places

* [mlu]fix required mlu

* fix

* [MLU]fix tensor copy

* [mlu] fix MLUPlace call path

This PR adds runtime flags run_kp_kernel, which choose which op to run for xpu2. There are two: dynamic linked and built from kp.

* fix accumulator bug

* fix unittest

* fix bug in pfp16

* fix hip

* fix hip

* add new API: paddle.clone;Tensor.element_size;nn.utils.parameters_to_vector

* fix comment

* Revert "Revert "pylayer support tuple/list type args (#37727)" (#37956)"

This reverts commit d848ff04.

* move check args,kwargs before forward execute

* Reduce reshape kernel functions in pten

* delete notes

* fix bugs when compile

This reverts commit a73064f2.

* Debug

* Fixed issue with reset_grad_inplace_version when used with clear_gradient & cross-batch accumulation

* Rearranged interfaces

* Fixed ci issues

* refine structure for cuda and rocm

* update

* update

* update

* update

* add inplace op adaptation

* optimize inplace logic and fix bugs when run kernel that has args of vector<DenseTensor>

* refactor logic that transform variable to densetensor

* update func name

* optimizer __call__ to make dygraph faster

* fix return type

* remove cpp Layer

* [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

reset_inplace_version removes all inplace related records to VarBase/VariableWrapper, the essential purpose of which is to let you use inplace operations as if using its non-inplaced version, which of course will cause unexpected consequences if not used with care.

This is essentially a hack interface to satisfy one specific request

* add scalar and scalar_array

* remove DenseTensor include from Scalar and ScalarArray

* remove inner header from scalar_array

* refactor the method of fill_constant and add some comment

* add fill_constant kernel using ScalarArray

* modify some prompt

* remove fill_constant kernel with no shape

* run dy2stat pure fp16 in Linear model

* no use self._pure_fp16_inputs

* add test and fix Adam error in dy2stat pure fp16 training

* use paddle.optimizer.Adam

* run test in gpu

* change test time for CI

* enlarge atol for test_resnet_pure_fp16

* refine code and enlarge atol

* make custom_white_list and custom_black_list take effect for AMP and pure fp16

* check tracer is not None

* use default atol

* change filter_size

* change atol and add some NOTE

* fix inplace bug

* fix custom grad input error

* add unittest

* fix inplace bug

* [XPU] Reorganize xpu device codes in platform, test=develop

* fix xpu_header.h, test=develop

* Added HCCL backend support in dynamic graph mode

* fix segmentation fault

* add ut

* Bug fix for snapshoting VariableWrapper with initialized tensor but empty allocation

* Added unittest for inplace&clear_gradient

* Removed one ENFORCE statement

* Changed func name to _share_buffer_to

* Improve error reporting information

* Updated the logic of _is_share_buffer_to func

* add cast kernel

* add cast cuda kernel

* add cast kernel

* make cast kernel output dtype undefined

* get cast dtype from vardesc

* move cast to manipulation and add test case

* add castinfershape

* avoid reinitilaze variable

* InitializeVariable support datatype

* merge develop branch

* fix merge bug

* revert modify initializeVariable

* revert modify on InitializeVariable

* revert modify on InitializeVariable

* mutable support reset dtype

* enable make pten tensor from variable when def_arg.type is undefined

* fix build pten ctx start_idx error

* copy pten out tensor to variable

* merge develop branch

* fix non pten kernel cast failed

* add reset allocation place for remake tensor

* fix inplace realloc error

* add mutable on pten kernles and remove unused cast files

* rename function names

* fix output type error

* fix conflict with develop branch

* set data type to variable with pten's dtype

* fix test_cast_api type mismatch

* densorTensro mutable_data support 0 bytes value

* fix the inplace bug of reshape kernel

* fix pten.backend != variable.place when moving storage, palce mismatch bug

* fix conflict with develop branch

* Fix bug of paddle::experimental::MovesStorage

* fix ReMakePtenDenseTensor place mismatch bug

* Revert "fix ReMakePtenDenseTensor place mismatch bug"

This reverts commit 86336032f60b8a15eacd2c1ff2fa513f5d8dfd1a.

* fix ReMakePtenDenseTensor place mismatch bug

* reverts the set_lod interface, test=develop

* modify by the review options

* modify error message

* add & for const input arguments

* add reference in params

* elementwise_sub add mutable_data

* fix ResetHolderWithType check size bug

* add dependence pten_tensor to test_cast_api object

* remove unused code to pass ci coverage
Co-authored-by: NChen Weihang <chenweihang@baidu.com>
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: Nshixiaowei02 <39303645+Shixiaowei02@users.noreply.github.com>

* reshape kernel refactor

* fix compile bugs when run ci

* support xpu for reshape

* fix bugs when run unittest in kunlun ci

* fix compile bugs when run kunlun

* perfect code according to suggestion

* add api and unit test for reshape