ATT, cherry pick of #31132

* A fix for oneDNN matmul kernel. Fixes issue #30309 (#30723)

* A fix for #30309 with oneDNN 1.6

* test=develop, save/load, shrink
Co-authored-by: NseiriosPlus <tangwei12@baidu.com>
Co-authored-by: N123malin <malin10@baidu.com>

test=document_fix

* change reviewer, test=document

Change-Id: I7592ee5c93bd580300ce39df885b603597b09026

* Update check_file_diff_approvals.sh

test=document_fix

* add  parameter in roi_align op

* fix compatibility of ops

* fix op test & cpu kernel

* fix JaccardOverlap in nms

* bug fix of xpu lite engine, test=develop

* xpu zero copy tensor, test=develop

* revert paddle/fluid/inference/tests/api/CMakeLists.txt

* fix dataloader collate return list mix tensor and numpy array. test=develop

* remove numpy array check in single-process dataloader. test=develop

* Add Support for Tuple in for Loop (#30998)

Dy2stat didn't support tuple as iteration variable in the past. This PR added there main cases:

       1). Non-enumerate case: for var1, var2 in var|var.numpy() will be re-written as:
          for FOR_ITER_TUPLE_PREFIX_x in var | var.numpy():
            var1 = FOR_ITER_TUPLE_PREFIX_x[0]
            var2 = FOR_ITER_TUPLE_PREFIX_x[1]
        2). Enumerate out tuple case: for t in enumerate(var|var.numpy) will be rewritten as:
          for FOR_ITER_TUPLE_INDEX_PREFIX_x, FOR_ITER_TUPLE_PREFIX_x in enumerate(var|var.numpy):
            t = (FOR_ITER_TUPLE_INDEX_PREFIX_x, FOR_ITER_TUPLE_PREFIX_x)
        3). Enumerate inner tuple case: for i, (var1, (var2, va3)) in enumerate(var|var.numpy()) will
        be re-written as:
          for i, FOR_ITER_TUPLE_PREFIX_x in var | var.numpy():
            var1 = FOR_ITER_TUPLE_PREFIX_x[0]
            var2 = FOR_ITER_TUPLE_PREFIX_x[1][0]
            var3 = FOR_ITER_TUPLE_PREFIX_x[1][1]

* Refine fake_interface Error Message (#30981)

Refine fake_interface Error Message

* support if else control

* fix conflict

* 【Paddle.Fleet】Fix brpc get hostname (#30703)

* fix Brpc get hostname

* fix int64 bug (#30780)

fix push sparse int64 bug

Cherry-pick：Split unittest(#30727) to solve the problem of 'test_static_save_load' timeout.(#30727) (#30916)

单测test_static_save_load耗时较长，将主要耗时部分单独拆分出来，以免增加其他单测对其造成影响。
原始PR：#30727

cherry-pick #29998
* Polish and Optimize the print/repr message of all layer
* fix some code format

make abs support complex types

cherry-pick:
#30375
#30637

modified disable file for release2.0

Co-authored-by: Ntianshuo78520a <707759223@qq.com>

* add readme in whl package

* fix chinese

* fix encoding

* del test

* upgrade gather_tree to core.ops (#30697)

* upgrade gather_tree to core.ops

* update gather_tree unittests

* update gather_tree doc (#30693)

* update gather_tree doc, test=document_fix

* update sample code, test=document_fix

* remove tensor type, test=document_fix

* fixed compilation error on gcc 4.8.x due to the usage of isfinite (#30733)

* modified conv+bn fuse pass to fix wrong mask in mask rcnn (#30704)

* Add cache for Transformer encoder.

* Bug fixed.

* add unittests for transformer encoder.

* add dla

* add python api
Co-authored-by: Nshangzhizhou <root@szth-rp-fanyi-opera49.szth.baidu.com>
Co-authored-by: Nshangzhizhou <root@szth-rp-fanyi-opera49.szth.baidu.com>

* Alias from  paddle.fluid.layers.auc to paddle.static.auc (#30206)

* add alias from  fluid.layers.auc to static.auc

* Update __init__.py

* add auc into all list

* alias acc, expose to users

* add auc into 'all' list (#30310)

* add auc into 'all' list

* alias acc, expose to users

* update sample code

* fix paddle.static.acc and auc sample code bug, test=document_fix

Co-authored-by: NJacek Czaja <jacek.czaja@intel.com>

* Add tf32 support for A100 tensor core acceleration for cuBLAS (#28732)

* Fixed an error

* Fixed an error

动态图中Conv2D保存成预测模型时，对应的Op可能是conv2d，也可能是depthwise_conv2d，但目前的save_quantized_model接口并未考虑depthwise_conv2d情况，可能会致使out_scale的值保存错误，该PR主要是修复这个问题。

* Fix the bug in fleet amp_init.

* Fix the amp_init unit test.