* add unittest for einsum-v2-trace and diagonal

* repeat labels.

* einsum support repeated labels.

* forward is ok for diagonal and undiagonalized.
TODO: check backward is ok by our theorem.

* backward is ok!

* fix by PR suggestions.

* fix ci error

* fix ci error

* fix ci warning

* Fix paddle.pow() bugs

* Add unittest cases

* Fix ut cases

* Add ut cases on multiple devices

fix uninitialized, tautological-constant-out-of-range-compare and literal-conversion warning on macos (#47341)

* support selected_rows kernel for multiply in dygraph

* delete useless code of slice in fluid

* fix complie bug

* move slice_array from fluid to phi

* fix strided_slice_op_npu

* 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>

* namespace modify

* update by comment

* Revert "【Hackathon No.56&38】deformable_conv_v1 算子实现 float16 数据类型支持&前向运行加速 (#46111)"

support fp16 for deformable conv

* fix linspace error in amp

* fix log

* fix amp error

* Revert "Simplify size op impl (#45808)"

This reverts commit c252b1de.

* fix_seg

* fix detection
Co-authored-by: NChen Weihang <sunny_cwh@163.com>

* fix linspace error in amp

* fix log

* fix amp error

* fix ocr error which caused by amp

* add more check

* rename dtype ns

* polish code comments

* polish data_device_transform.cc

* move sum

* fix ci bugs

* fix ci bugs

* fix set_lod bugs

* fix infershape bugs

* fix ci bugs

* fix ci unittest bug

* fix ci bugs

* perfect code

* update code according comment

* add unittest

* fix ci bugs

This reverts commit c252b1de.

* fix return order error and duplicate results with specific inputs

* perfect softmax functor

* fix compile bugs

* fix ci bugs

* add softmax infer kernel

* simplify size op

* trans to cuda manuly

* fix copy error

Adapt tensor output_size for conv2d_transpose and depthwise_conv2d_transpose

* copy kernel file to phi

* delete some code

* migrate uniform_random, test=kunlun

* fix input error, test=kunlun

* fix gpu register error, test=kunlun

* add include file, test=kunlun

* try fix error from CI, test=kunlun

* polish other PR

* fix CI-coverage error, test=kunlun

* enhance grid_sampler cpu kernel to 5D input

* fix bug when 5D input tensor running on the cudnn kernel

* move elementwise test=kunlun

* move add/sub/mul/div kernel to elementwise_kernel, test=kunlun

* fix ci bugs,test=kunlun

* fix ci bugs

* test=kunlun

* migrate truncated_gaussian_random kernel to phi, test=kunlun

* reuse CPU kernel, test=kunlun

* debug kernel, test=kunlun

* migrate truncated_gaussian_random kernel to phi, test=kunlun

* split truncated_normal, test=kunlun

* try fix error from CI, test=kunlun

* [OpAttr]output_size of unpool support Tensor type

* fix coverage

* fix contain_var

* fix coverage

* fix split bug

* solve function redefine

* fix fluid.layers.split and add unit test

* delete splitInferMeta register in unary.cc

* modify test_split_op GPU unit test

* modify test_split_op GPU unit test place param

* refactor split op and fix infershape bugs

* add () in && and ||

* fix split C++ unit test

* fix split infershape

* Adapt tensor axis for argmin/max

* Add UT

* Polish UT