* Register exp/expm1/logit bf16 activation op kernels (#48702)

* register more bf16 ops

* update to register coresponding backward ops

* Addition of bf16 type support for Compare OP  (#46413)

* first commit

* clarify the quotes

* change code style format

* support bfloat16

* add bfloat16 support for more ops (#48272)

* [Bfloat16]register bfloat16 datatype for squared l2 norm (#50908)

* Sync the pull request #51903.

* Add some header files back.

* modify cmake file for cuda11.8 compile (#49020)

* modify cmake file for cuda11.8 compile

* add op_library(fused_embedding_eltwise_layernorm_op DEPS bert_encoder_functor)

* Fix compling error.

* Cherry-pick pull request #51396.

---------
Co-authored-by: Nsneaxiy <32832641+sneaxiy@users.noreply.github.com>
Co-authored-by: Nlimingshu <61349199+JamesLim-sy@users.noreply.github.com>
Co-authored-by: Shaojie WANG <wsjmessi@163.com>
Co-authored-by: Nzqw_1997 <118182234+zhengqiwen1997@users.noreply.github.com>

* fix fc kernel diff

* disable fc_elementwise_layernorm_fuse_pass

* disable scale op in amp pass

* Do not insert redundant cast op

* fix fused_fc_elementwise_layernorm kernel diff

* fix fc kerenl diff

* 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

【Cherry-pick PR47743】change cudnn error to cuda error if compiled cuda version is incompatible with installed cuda version (#47744)

* cherry-pick pr47743

* fix

* fix

* fix

【Cherry-pick PR47666】add cudnn error if compiled cudnn version is incompatible with installed cudnn version (#47673)

* Cherry-pick PR47666, add cudnn error (#47666)

* [CherryPick] Cherry pick #45916 #46031 #47299  (#47610)

* [ Dy2Static ] Fix bugs when select inputs meeting different shape or undefined-var (#45916)

* fix select_input with different shape errors:
1. select_input_with_buildin_type directly return non-undefinedvar branch when meeting undefined var
2. the output shape of select_input is inferred from inputs.

* reverse the logic in select_input

* [warning] added warning message in cond block when one branch returns variable and another returns None (#46031)

* [cherry-pick] Allow manaully set py_reader name in standalone executor (#45898) (#45931)

* Allow manaully set py_reader name in standalone executor

* [BugFix] while cond receives dict as input (#47299)

* fix bugs while cond receives dict as input

* add unittest

* change flatten -> _is_sequence_except_dict

* code format
Co-authored-by: Nfeifei-111 <wuzhanfei@baidu.com>
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>
Co-authored-by: Nfeifei-111 <wuzhanfei@baidu.com>

Revert SparseConv support duplicate coordinates

Unified api args name

* support generating code of opmaker for backward op invoke forward op (#46912)

* [code-gen] Support code-gen for opmaker of sparse op (#46993)

* support generating code of opmaker for backward op invoke forward op

* gsupport code-gen of opmaker for sparse op

* refind logic of choose phi kernrel

* fix complie budg

* fix code_gen bug

* fix bug

* fix kernel signature code-gen

* fix complie bug of VarType

* fix complie bug of VarType

* fix test_sparse_conv_op

* fix test_sparse_norm_op

* [Phi] Refactor logic of judging whether having a phi kernrel (#46920)

* refind logic of choose phi kernrel

* fix complie budg

* update cmake

add sync_batch_norm_bn and deliver indices_dict 

* cherry-pick #46359 and resolve conflict

* fix inference perfermence problem caused by selecting cudnn kernel for softmax

* recover use_cudnn in opmaker of softmax

* return proper state

* fix for dims

* fix
Co-authored-by: Njakpiase <jakpia21@gmail.com>

当前无法从Tensor中获取到SparseTensor的sparse_dim，无法准确推断出indices的shape，所以目前先以3D点云模型为主，输入的SparseTensor的维度是5D的，其中非零元素是一维向量，所以indices是[4, -1]。

* 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

Fix set_value failure when source tensor is fp16 Dtype and destiny value is a number
(dev PR link:#46801)

* 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>

Cherry-pick 46541
保证Reset50 TSM deeplabv3模型零修改下实现Layout自动调优