* 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

* [MLU] fix compute error of dropout op (#45923)

* [MLU] add mergedAdam kernel. (#45965)

* [MLU] add int64 support for mlu one_hot_v2 (#46313)

* [MLU] fix profiler compile failure (#46208)

* [MLU] add barrier_op kernel. (#46417)

* [MLU] fluid: add mluop (#46429)

* [MLU] add huber_loss kernel. (#46455)

* [MLU] add mlu kernel for add_reduce_max_grad (#45651)
Co-authored-by: Nliupeiyu <liupeiyu@cambricon.com>

* [MLU] add_fluid_mluop_yolo_box (#46573)

* [MLU] fix phi::Tensor compile error of mlu. (#46649)

* [MLU] add fluid MLUOps prior_box (#46585)

* [MLU] fix cmake error (#46772)

* [MLU]fix unittest of sync_bn (#46797)

* [MLU] add masterparam support for mlu adamw. (#46804)

* [MLU] add int64 support for allgather. (#46830)

* [MLU] fix compile error & add mlu blacklist function. (#47439)

* [MLU] fix softmax_with_cross_entropy failed in 370-X8.

* [MLU] fix cncl stuck caused by multiple initializations.

* [MLU] fix code style check.
Co-authored-by: Nqipengh <huangqipeng@cambricon.com>
Co-authored-by: Ncifar10 <41565156+cifar10@users.noreply.github.com>
Co-authored-by: Lux et Veritas <1004239791@qq.com>
Co-authored-by: Nliupeiyu <liupeiyu@cambricon.com>
Co-authored-by: Nronnywang <ronny1996@163.com>

* 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

Co-authored-by: NMing-Xu Huang <mingh@nvidia.com>

[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>

* Reduce squeeze2_matmul_fuse_pass, flattent tests time (#47098)

* Add missing fp32 config and reduce the testing combination

* Reduce trt matmul pass test max examples

* Loose TRT fp16 tests tolerance (#47100)

* Loose TRT half test tolerance to 1e-3 (#47101)

* Loose TRT half test tolerance to 1e-3 (#47106)

* Update distributed_strategy.proto (#46531)

* Close popen pipe after used (#47053)

* Add launch_bounds (#47285)

* Fix TRT UT failures (#47488)

* Format cherry-picked commits

* CudnnNormConvolution is no longer supported on NVIDIA Hopper GPUs (#48203)

* Skip tests that use fused_ops on H100

* Add error message to FusedOps on H100
Co-authored-by: NShijie <505749828@qq.com>
Co-authored-by: NLeo Chen <39020268+leo0519@users.noreply.github.com>
Co-authored-by: NTian Zheng <tizheng@nvidia.com>

* fix slice bugs

* fix

* update code

* fix

* update code

* suqeeze2 + transpose2 fuse onednn cherrypick 2.4

* format

* fix merge

* fc cherrypick

* another files added

* added transpose cherrypick

* reverter somebodys fc changes

* minor fix

* minor fix

* cherry-pick of fc+act changes

* minor fix

* fix

* #46165

* #45752

* fix some doc bug test=document_fix (#45488)

* fix some doc bug test=document_fix

* fix some docs issues, test=document_fix

* beta -> \beta in softplus

* threshold -> \varepsilon in softplus

* parameter name

* delta -> \delta in smooth_l1_loss

* fix some docs test=document_fix

* fix docs test=document_fix

* fix docs && 增加空行 test=document_fix

* Update python/paddle/nn/functional/activation.py, test=document_fix

* Update python/paddle/nn/layer/activation.py, test=document_fix
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* [docs] add ipustrategy Hyperlink (#46422)

* [docs] add ipustrategy Hyperlink

* fix ipu_shard_guard docs; test=document_fix

* [docs] add set_ipu_shard note

* [docs] fix hyperlink

* update framework.py

* fix mlu_places docs; test=document_fix

* fix put_along_axis docs; test=document_fix

* fix flake8 W293 error, test=document_fix

* fix typo in typing, test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* #46659

* Update README_cn.md (#46927)

修复了错别字

* #46738

* fix paddle.get_default_dtype (#47040)

Chinese and English return values are inconsistent

* fix bug
Co-authored-by: N张春乔 <83450930+Liyulingyue@users.noreply.github.com>
Co-authored-by: NInfinity_lee <luhputu0815@gmail.com>
Co-authored-by: Nmrcangye <chenloong@88.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>
Co-authored-by: Ngouzil <66515297+gouzil@users.noreply.github.com>
Co-authored-by: NHamid Zare <12127420+hamidzr@users.noreply.github.com>
Co-authored-by: NSqhttwl <61459740+Sqhttwl@users.noreply.github.com>
Co-authored-by: NOccupyMars2025 <31559413+OccupyMars2025@users.noreply.github.com>
Co-authored-by: N超级码牛 <54444805+SuperCodebull@users.noreply.github.com>
Co-authored-by: Njzhang533 <jzhang533@gmail.com>

* 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

* [JIT] Add Predictor for JITLayer (#47379)

* add predictor_engine

* add predictor_engine

* fix zero shape

* fix lodTensor

* fix unittest

* fix code style

* update CmakeList

* fix new executor

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>

[Cherry-pick][Release/2.4]Refine the memory usage of fused_attention and fused_feedforward ops (#47235)

* fix fused_attention fused_feedforward

* fix ci

* fix ci

* fix ci PADDLE_GET_CONST

* fix ci ut

* 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)

* stride_to_24

* fix CI failing

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

support pure bfloat16 for more ops

[CherryPick][Dy2St]Fix recurrent op eager deletion pass error in dy2st

Construct exec and ctx only once in cond op to speed up

* [Dygraph] Fix performance of pp+mp by using send/recv_calc_stream instead of send/recv (#46116)

* [Dygraph] Fix Perf of FusedFeedForward and FusedAttention with AllReduce (#46780)

* update

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

* [BUG]Fix expand_as_v2 bug while X and Y with different dtype

* fix commit

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>

* [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>