* 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 indices

* namespace modify

* update by comment

* [Zero-Dim] support input 0D Tensor for unary api

* fix CI

* add yaml entry for rnn and rrnn_grad, move infershape function for rnn_grad to phi infer meta

* WIP: move rnn kernrl to phi

* Change the code generation to avoid converting from intializer list to tuple of heterogeneous types.
This is only triggered when an api has intermediate outputs, and the result of the outputs are of heterogeneous types.

* fix the bug that when none in a vector of tensors requires gradient, the conversion to InferShapeContext to InferMetaContext (a.k.a. BuildInferMetaContext) produces errorous results.

* fix ci bugs

* fix ci bugs

* fix ci bugs

* modify code according comment
Co-authored-by: Nchenfeiyu <chenfeiyu@baidu.com>

* remove invoke yaml

* fix ci bugs

* sparse infer_meta

* 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

* fix return order error and duplicate results with specific inputs

* fix split bug in static mode

* modify code style

* modify code style

* add unit test for split

* add operator<< for BuildStrategy

* add fake_coalesce

* fit allreduce mode for new_exe

* remove dubeg code

* follow comments

* add fusion dir and fuse_softmax_mask kernel

* remove fusion kernel dir

* migrate infershape

* fix code errror

* add save kernel

* add save_sr_kernel

* remove original save_op

* add save gpu kernel

* remove combine kernel

* add port.h include

* add save selected rows test

* remove useless kernel.h

Adapt tensor output_size for conv2d_transpose and depthwise_conv2d_transpose

* add compile-time infermeta logic for stack infermeta.

* add unittest for stack infermeta where -1 exists in shapes.

* remove backward changes.

* fix amp kernel

* update to remove PADDLE_WITH_XPU macro

* [OpAttr]ksize of pool2d support Tensor type

* fix unittest

* add unittest

* [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

* add coalesce_tensor kernel

* polist coalesce_tensor kernel

* add sig and InferMeta

* add testcase

* add legacy_api.yaml

* fix infermeta

* fix yaml

* fix kernel implementation

* add compile dependency of phi/kernels

* fix MetaConfig

* add python api

* add and fix testcase

* rnn.py add import

* change _C_ops.coalesce_tensor

* remove useless comments

* add SetBackend

* restore XPU kernel temporarily

* fix code according to PR comments

* Adapt tensor axis for argmin/max

* Add UT

* Polish UT

* [OpAttr]Adapt tensor axis for reduce_min/max/mean/sum/prod

* [OpAttr]padding_value of Pad support Tensor type

* fix unittest

* fix unittest

* fix coverage

* [OpAttr]num_rows/num_colums of eye support Tensor type

* fix attr cast with long type

* remove fluid kernel and activate phi kernel

* fix parameter error

* transfer mkldnn part

* modify header file path

* fix compile error

* transfer special case

* fix lod setting and special case for layout setting

* add testcase and refine code

* [OpAttr]axis of Reverse Support Tensor type

* fix coverage

* fix unittest

* [OpAttr]min/max of Uniform_rand support Tensor type

* fix typo