* add meshgrid,expand_as, prod and grad bf16 kernel

* fix bf16 for optest

* modify code style

* fix amp test

* Revert "[inference][trt]add trt sparse weights switch (#53562)"

This reverts commit 4a69a536.

* remove kSPARSE_WEIGHTS

* remove kFASTER_DYNAMIC_SHAPES_0805 and add 'TrtMajorVersion' function

* fix parameter not passed

* fix repr

* ignore third_party

* modify .gitmodules

* test=document_fix

* test=document_fix

* test=document_fix

* [CINN] Fix TestGelu unittest of CINN

* pass if_enable_cinn

* Fused elementwises kernels and ops

* change fuse pass name

* adjust .pbtxt files

* adjust quantization attributes

* add missing arguments and fix others, review fixed

* simplify fused kernel registration

* fix elementwise unit tests

* reuse one fused elementwise op

* adjust proto

* Add supported datatypes

* Change 'Scale' to 'scale' in tests, change some tests to onednn

* Revert breaking changes

* Fix unit tests

* Delete obsolete test cases

* Delete commented out code

* Fix codestyle

* delete temporary condition

* fix conflicts and delete duplicate fusing

* Fix code after merge

* Move tests to new directory

* fix tests volatility

* Rename test_elementwise_add_onednn_op.py to test_elementwise_add_mkldnn_op.py

* Update CMakeLists.txt add mkldnn op test

---------
Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

* move sequence_mask op InferShape func

* add dtype infer

* fix

* fix

* [Dy2static-Fallback] add set_eval_frame function in pybind.
1. add set_eval_frame function in pybind.

* add unittest for eval frame hooker.

* [support py38]

* fix-GeneratorExit error in eval frame hooker

* support python == 3.9

* support 3.10

* fix some comments

* simplify layer_norm_op.cc

* support auto generate for op layer_norm

* update unittest for composite_layer_norm

* remove layer_norm_op.cc from scripts

* replace layer_norm_op with generated_op

* add get_expected_kernel for layer_norm

* update cmake kernel register function for layer_norm_mkldnn_op

* [XPU] do not call check_nccl_version_for_p2p under xpu

* refine code.

* rm tools npu

* Update get_pr_ut.py

* Update get_pr_ut.py

* rm cmake npu

* Update generic.cmake

* Update generic.cmake

* add master gradients on static graph

* add unit test for bf16 master grad static graph

* use float16 as v100 test dtype

* only skip GPU which do not support bf16

* use linear layer to test master grad

* 1.push master grad creation before all optimizer ops; 2.remove useless unittest; 3.use a function to create master grad states

* suport device_guard for npu

* fix comment

* fix typo