* fix momentum op register

* upgrade instance_norm, test=op_version

* fix

* add debug code

* add place info

* fix compile problem

* add place for output

change the elementwise ops version check, test=op_version

Add moving_average_abs_max_scale op_register_version

fix ut:trt_resnext_test, trt_quant_int8_yolov3_r50_test, test_trt_dynamic_shape_ernie, test_trt_dynamic_shape_ernie_fp16_ser_deser, trt_cascade_rcnn_test (#29977)

register op version for conv2d_transpose, conv3d_transpose and depthwise_conv2d_transpose, test=op_version (#29937)

test=develop
test=op_version

* map matmul/squeeze2+matmul/reshape2+matmul to mul

PADDLE_RETRY_CUDA_SUCCESS used wrong sleep time so it can cause timeout in unittest. This PR fixed it.

After we searched the doc in https://pubs.opengroup.org/onlinepubs/7908799/xsh/unistd.h.html, the time unit of sleep in unistd.h takes "seconds", usleep takes "microseconds", Sleep in windows.h takes "milliseconds".

* add gru op_register_version; test=op_version;

* Update fc,mul version;test=op_version;

* flush denormals to zero, test=develop

* add comments, test=develop

* add op version for fake_quant and fake_dequant ops, test=op_version, test=develop

* fix a bug in reset_tensor_array, test=develop

* ci coverage, test=develop

* Support MIPS arch.

* register op version for grid_sampler

* Revert "[inplace] Add ShareHolderWith for class Variable and SharePlaceholderWith in VarBase.detach() to share the same Tensor/SelectedRows (#29267)"

This reverts commit b10ecd9d.

* Support ShareInplaceVersionCounterWith to share the same inplace version counter for VarBase

* enable bilateral_slice unittest on windows platform

* reduce max threads

* try to add fwd op input dtypes

* refactor base impl

* return tmp_ins after dygraph prepare data

* fix typo found in debug

* polish comment & add complex net test

* revert detail change

* fix unittest failed

* add complex kernel condition control

* fix xpu test failed & polish comment

* polish details by review comments

* add support for complex grad accumulated

* add unittest for coverage

* update test dtype

* remove useless blank line

* support some shape in matmul and cast

* modify matmul

* feat: support check_nan_inf for kunlun device

* support kunlun stack

* minor

* oneps (3/4)
Co-authored-by: NMrChengmo <cmchengmo@163.com>
Co-authored-by: Nmalin10 <malin10@baidu.com>
Co-authored-by: Nchengmo <chengmo@baidu.com>

1. Type of index: int, slice(step must be 1).

2. Type of value: 
 (1) int32, int64, float32, bool; 
 (2) numpy.array(int32, int64, float32, bool);<Note: float64 is not supported>
 (3) paddle.Tensor(int32, int64, float32, float64, bool);

* remove duplicate ut reload

* remove duplicate ut define in cmakelist