update expand as op to use the shape of the target tensor instead of the target tensor itself. (#29020)

* update, test=develop

Add eigen gru and fix the dropout bug in the rnn 

* remove -DSUPPORTS_CUDA_FP16 in cuda.cmake

* comile with cuda9

* add some unittest

* notest;test=coverage

* add unittest for trt plugin swish && split

* update ernie unittest

* fix some error message

* remove repeated judgement of CUDA version in mbEltwiseLayerNormOpConverter

* fix comile errror when CUDA_ARCH_NAME < Pascal"

* fix comile error

* update unittest timeout

* compile with cuda9

* update error msg

* fix code style

* add some comments

* add define IF_CUDA_ARCH_SUPPORT_FP16

* rename IF_CUDA_ARCH_SUPPORT_FP16 to CUDA_ARCH_FP16_SUPPORTED

Fix ops doc for some ops 

* Add bf16 pool2d and unify bf16 unit tests

* Add change default ops test

add uint8 for reshape operator

Simple code clean up

remove eigen threadpool for the speed up

* test=develop, optimize global_step

* refactor momentum op to combine weight_decay (scale op and sum op)

Adding uint8 support for squeeze operator.

* Add bf16 matmul, fc, elementwise add and mul

* Correct unit test

* 1.add xpu slice op 2. add xpu top_k op 3.modify xpu cast to new api

* 1.add xpu slice op 2. add xpu top_k op 3.modify xpu cast to new api

* add lstm, simple rnn op kernel

* fix the test_lstm for the rnn op

* change func name

* fix forward postprocess bug

* add gru forward, backward code

* remove unittest.skipIf; use a big rnn op instead of combination op

* fix input doesn't have gradient bug

* add eigen lstm forward, backward
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>

* adjust kunlun header file
*test=kunlun

* update kunlun unittest
*test=kunlun

* update xpu unitest
* test = kunlun

* update xpu unittest
* test=kunlun

* update xpu unitest
* test=kunlun

* Add multi_gru op and tests

* removed redundant disable_dygraph()

Add new operator log10

test=develop

* add unittest and check unittest for windows

* fix lstm OP compile error on windows

Co-authored-by: Nyaoxuefeng6 <yaoxuefeng@baidu.com>

fix the gradient bug for the topk v2 

* Add checkpoint to quantize

* Change bfloat16 option

* Fix gradients with ignore_idx in softmax_with_cross_entropy.
test=develop

* Fix gradients with ignore_idx in softmax_with_cross_entropy on cpu.
Remove softmax_with_cross_entropy from op_threshold_white_list.
test=develop

* Fix test_softmax_cross_entropy_op.py.
test=develop