* add kernel register macro for all backend

* fix msvc bug

* fix

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Co-authored-by: Nzhangyuqin1998 <2368719379@qq.com>

【PaddlePaddle Hackathon 4】No.56 : add fp16 test and bf16 test for diag, diagonal, fill and fill_diagonal_tensor (#51649)

* remove distribute

* fix py3 bugs

* fix gpu-ps bugs

* fix compile bugs

* fix unittest bugs

* autofix
Co-authored-by: NLiyulingyue <83450930+Liyulingyue@users.noreply.github.com>

* revert changes in python/paddle/distributed/fleet/utils/hybrid_parallel_util.py

* empty commit, trigger ci

* fix test_slice

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Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* move elementwise raw

* fix

* fix

* add FP16 for multinomial

* fix input data

* update code

* fix FP16

* fix code

* stride slice fp16 and bf16 unitest

* fix code style

* add self.dtype

[CodeStyle][C416][C417] rewrite unnecessary comprehension with function call and use generator instead of map (#52140)

* codestyle c416 c417

* fix error

* fix inc

* unify all C4 rules into one

* fix inc

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Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* pad3d add unittests of fp16 and bf16

* pad3d add unittests of fp16 and bf16

* fix cuda place

* fix random to uniform

* fix class name

* fix fp16 max relative error to 1.5e-3

* add dytpe register for onednn

* add pad uint16 check of common.py

* remove check_eager

* test_check_grad --> test_check_grad_normal

* regist output type for GraphSampleNeighbors and GroupNorm

* Update return type

* fix return type

* update

* fix detail

* fix bg

* add utest

* add utest

* add fuse adamw pass

* fix some bugs

* fix CIbug

* change chunk_size

* fix CI bug

* rm test_fused_adam_op.py

* fix CI bugs

* fix fuse_adamw_op_pass.cc

* change code style

* fix CI bug

* fix ut bug and use_adamw_op_pass.cc

* fix test_fuse_adamw_pass.py

* fix CI bug

* remove fluid

* fix ci bug

* fix CI bug

* fix generate_kernels.py in CUDA 12.0

* fix attrs bug

* add overflow check in memory efficient attention

* fix ci compile error

* fix ci compile error

* fix int8 support for full kernel

* fix ut.

* add unittest for conv2d/depthwise_conv2d/conv2d_transpose

* add bf16 for DWConv and ConvTranspose

* fix unitest of conv2d_transpose

* modify DWConv2d op and unittest

* fix unittest of conv2d_transpose_bf16

* modify unittest name according to review

* modify atol of DWConv2D unittest

* support assign op

* support assign infer_var_type

* change code according to review

* change code according to review

* only save 'get_infer_var_type_func'

* rest file mode

* unbind support bool dtype

* replace np.array_equal

instance_norm_grad kernel. Fix bugs that the data type of input is different from output in reduce_sum kernel. test=kunlun

* fix_gcc12_error

* fix gcc12 error

* fix gcc12 error