* test approve ,test=document_fix

* test approve ,test=document_fix

* test approve ,test=document_fix

* add inner function _elementwise_op_with_axis

* fix transformer_model

* polish API code

* remove elementwise_div/mul api

* delete API in __all__

* delete elementwise_mul completely

* polish elementwise_mul call

* polish internal api

* resolve conflict, fix rnn.py

* use non-inplace call

* delete elementwise_mul api test

* delete elementwise_mul api test

* clean elementwise_add/sub

* restore _elementwise_op_in_dygraph in nn.py

* replace dependency of inclusive_scan.h from phi

* format code

* fix codestyle

* add double complex<float> complex<double> dtype support for syevj_batched

* fix use_syevj flag for precision loss when input dtype of syevj_batch is complex128 in some case

* optimize eigh in different case

* fix missing ; bug

* fix use_syevj bug

* fix use_cusolver_syevj_batched flag

* fix: there are some bugs with trt 8.0

* fix:windows CI trt is too old

* OneDNN version of Copy, tranpose kernels adjusted

* style fixes in tranpose_grad

* redundant headers deleted

* Enable to print device info.

* Enhance the nan and inf checking for cpu.

* Implement a common print function.

* Unify the check of complex numbers.

* Rewrite the omp method.

* Count and print the number of nan and inf.

* Change the print content.

* Add unittest.

* move norm_utils.cu.h from fluid to phi

* remove norm_utils.h in fluid

* fix bugs and replace mutable_data with Alloc

* replace mutable_data with Alloc

* generate static graph code of some ops by yaml, test = develop

* fix 'take_along_axis' yaml style

* reset scatter/scatter_nd_add

* delete the comments of put_along_axis

* Add UT

* Support cross-step stream synchronization for standalone executor

* Fix typos

* Fix typos

* Update UTs

* support sharding in fp16 on xpu, change reduce_max to reduce_sum for found nan or inf

* update

* chore: unify `SingleTensor`

* feat: dynamic check

* first commit.

* refine performance with fast_divmod

* refine performance with fast_divmod

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* [remove fluid] fluid dygraph Embedding

* Add cast between int64 tensor and Paddle-TRT
* Add Unit testing.

* support py3 in setup.py

* support setup.py bdist_wheel in py3

* support py3 in setup.py

* modify run_setup

* reshape

* typo

* remove header

* clean ir_pass_manager and fix map_depthwise_conv_to_conv_pass

* fix unitest timeout

* replace cross_entropy in python/paddle/fluid/tests/unittests/test_[o-z]*.py plus test_dist_transpiler.py

* fix test_prune

* support custom_xpu

* update cmake to test xpu

* support custom_xpu, verify mechanism

* fix test_custom_relu_op_xpu_setup.py, test=kunlun

* fix FLAGS_init_allocated_mem

* cancel TIMEOUT property

* reset FLAGS_init_allocated_mem property

[fluid remove]: remove paddle.fluid.layers.box_coder and paddle.fluid.layers.polygon_box_transform (#48896)

* remove fluid_box_coder and polygon_box_transform

* code check

* fix doc

* test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* add prelu