* fix fold for large bs

* fix fold for large bs

* fix pre-commit

* cherry-pick 45860

* [BUG FIX]Fix MetaTensor's bug when run infermeta (#46265)

* fix sum bug

* fix ci bugs

* fix ci bugs

* update code according comment

[cherry-pick] updating mul and matmul with set_mem_desc and fix squeeze_transpose for MKLDNN (#47951)

* Fix slice bugs in MKLDNN when input dims are zeros (#46671)

* fix slice bugs

* fix

* update code

* fix

* update code

* updating mul and matmul with set_mem_desc (#45624)

* - mul & matmul changes

- fix

- bs16 correction of strides

* - cosmetic fixes

* - lint

* - fix

* - fix

* - format -> mem_desc

* - fix

* - fix

* - fix

* - fix

* - fix

* fix squueze_transpose (#47911)
Co-authored-by: NJacek Czaja <jacek.czaja@intel.com>

* Fix wrong eigen header include

* fix compile bug

Revert SparseConv support duplicate coordinates

Unified api args name

add sync_batch_norm_bn and deliver indices_dict 

* cherry-pick #46359 and resolve conflict

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* support pure bfloat16

* support bf16 linear

* update PR to pass CI

* tiny fix where_grad_kernel.cu

* Support bfloat16 type for reducer and sharding.

* Fix some bug.

* Polish code.

* Polise code.

* Add bfloat16 datatype in fill_grad kernels.
Co-authored-by: Nsneaxiy <sneaxiy@126.com>
Co-authored-by: Nsneaxiy <sneaxiy@126.com>

* Add infer prune function

* add fusion op

* Simplify the codes of conv. (#45966)

* Enable to record whether the conv algo is got by exhaustive search to fix autotune cache bug. (#47065)

Add value check & error message for gather_tree
cherry-pick #47051

Fix some operators when the tensor.numel() > INT32_MAX

support pure bfloat16 for more ops

* strided_slice grad add fp16 support

* [Dy2Static] Support TypeHint for function decorated by @to_static (#47121)

* Add TypeHint Transformer

* add unittest for typehint transformer

* [Dy2Static] Remove GradTransformer (#47063)

* [Dy2Static] Remove GradTransformer
1. fix einsum infershape bugs.
2. remove grad_transformer and unify paddle.grad and paddle.static.gradient.
3. add dygraph_and_dy2static_only decorator for dy2static.

* fix bugs

* rename

新增sparse.is_same_shape、sparse.reshape、sparse.transpose 三个API

* draft with debug print
* remove debug print
* bug fix for ci

cherry-pick : #46322, #46245
Sparse API 支持静态图

Optimize performance of depthwise_conv

Config: input[2048, 1024, 4, 4], filter[1024, 1, 4, 4], stride=1, pad=0, dilation=1

为了提升性能，将label的边界检查从python端转移到kernel内，减少额外op的调用，如min、max和同步拷贝等
    当前的模板参数IgnoreIndex仅在ignore_index取值范围在[0, dim)时才生效，但是当某个label值超出了边界，ignore_index等于该label，这种情况下是应该仍然能正常计算。虽然当前的计算逻辑在结果上不会出错，但逻辑上仍是有问题的，且模板参数IgnoreIndex是没有必要的

* Revert pool+grad oneDNN kernel conversion (#45989)

* [PHI] transpose2_grad op migration (#46139)

* op migrated, Copy(OneDNNContext, ...) added

* mutable_data & op registration in fluid removed

* refactoring

* OneDNNGetDataType to uppercase

* missing cpu check added, handler moved to .h file

* name changed to transpose_grad

* Copy changed back to TensorCopy

* Resizing corrected, Copy(OneDNNContext) removed
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>
Co-authored-by: NPaulina Gacek <paulina.gacek@intel.com>

* [PHI] Migrate gelu kernels (#45596)

* gaussian random

* mkldnn to onednn renaming

* fix merge conflicts

* remove fluid code

* onednn renaming

* gelu fwd

* sort activations

* gelu gradient

* remove unused macros

* merge conflicts

* fix merge conflicts

* remove extra contraint from gelu op

* [PHI] relu6_grad kernel (#46501)

* Relu6

* remove fluid handler

* add individual kernel signature

* coding style

* replace bounded_relu with clip

* whitespace

* code style

Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* fix concat bug

* fix ci bugs

* fix ci bugs

[cherry-pick] [PHI] Migrate concat+grad, expand+grad, fill_constant … oneDNN kernels (#45863) (#46727)

* [PHI] Migrate concat+grad, expand+grad, fill_constant, nearest_interp and bilinear_interp oneDNN kernels (#45863)

* Migrate concat+grad, expand+grad, fill_constant, nearest_interp_v2 and bilinear_interp_v2 oneDNN kernels to PHI

* Remove old namespace variable

* Fix invalid out dims error

* Add mutable_data method to concat output

* Add check for -1 dim before computing out_dims

* Capitalize oneDNNGetDataType function name

* Change fill_constant kernel to correct PHI kernel

* Attempt to fix dims error

* Fix fill_constant (full) kernel

* update dependencies
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* [PHI] Migrate sgd and stack oneDNN kernels (#46374)

* Convert slice+grad oneDNN fluid kernels to PHI

* Change mutable_data to Alloc

* Refactor licences

* update dependencies
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* Convert split, pad and pad3d kernels

* Convert slice+grad oneDNN fluid kernels to PHI

* change out->mutable_data to dev_ctx.Alloc
Co-authored-by: NPiotr Paturej <48731682+piotrekobi@users.noreply.github.com>

* init

* remove softmaxop

* merge dev

* correct dir

* style

* First approach

* Shape kernel corrected

* Compilation error fixed

* Resize corrected

* Registered types added

* Mistake corrected & types added

* sum kernel deleted
Co-authored-by: NPaulina Gacek <paulina.gacek.pl@gmail.com>

Add FP16 support for uniform in dygraph mode on Nvidia GPU
Dev PR link PR46212

[CherryPick][Fix] Remove std::trunc() in FloorDivideFunctor and InverseFloorDivideFunctor (#45051) (#46504)

* [XPU] update xdnn activations. (#46246)

* [XPU] update xpu cmake. test=kunlun

* polish code comments

* polish data_device_transform.cc

* [Eager] Fix ocr (#46124)

* fix linspace error in amp

* fix log

* fix amp error

* fix ocr error which caused by amp

* add more check

* rename dtype ns

* [Eager Bug fix]Fix Detection (#46147)

* fix linspace error in amp

* fix log

* fix amp error

* Revert "Simplify size op impl (#45808)"

This reverts commit c252b1de.

* fix_seg

* fix detection
Co-authored-by: NChen Weihang <sunny_cwh@163.com>
Co-authored-by: NChen Weihang <sunny_cwh@163.com>