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

* add conj op for complex types

* add conj for complex types

* add more test case

* add conj_op test

* modify conj api and impl

* add complex type for fill_constant_op xpu

* add setConstant for complex type

* remove complex conj test file

* user define grad for test_conj_op

* add test case for static mode of conj api

* modify conj doc

* change input args name to x

* remove useless codes

* conj support real types

* add conj test case for real number

* delete no need to calculate inputs in dygraph op_test

* delete no need to calculate inputs in dygraph op_test

* modify grad of mul for complex types

* fix the grads of inputs args order not match bug

* change the grad of div when complex types

* fix the grads of inputs args order not match bug

test=develop

* add nearest_interp_v2 on kunlun

* add nearest_interp_v2 on kunlun

4 APIs: array_length, array_read, array_write, create_array

[Dy2Stat] Fix bug for loop: a variable is used and created in loop, but used before created (#29769)

* add double grad for conv_transpose

* upgrade oneDNN with GRU INT8 optimizations

* fix test

Enable jit.save to Save Without Running.

Support to transformfor ele in var stms in which var is a slice of Tensor.

* delete no need to calculate inputs in dygraph op_test

* delete no need to calculate inputs in dygraph op_test

Before this commit, test_slice use old api `dygraph_to_static_func` to use Dynamic-t-Static and use Executor explicitly，which is not recommended to users.
After fixed, use recommended API `paddle.jit.to_static` to replace `dygraph_to_static_func`, which won't trigger the random exception on coverage CI.

Unit test reported memory not enough on CPU machines. Reduce batch size again.

* add conj op for complex types

* add conj for complex types

* add more test case

* add conj_op test

* modify conj api and impl

* add complex type for fill_constant_op xpu

* add setConstant for complex type

* remove complex conj test file

* user define grad for test_conj_op

* add test case for static mode of conj api

* modify conj doc

* change input args name to x

* remove useless codes

* conj support real types

* add conj test case for real number

* add complex real op & api & unittest

* add imag op & api & unittest

* refactor op impl

* revert simplify writing due to complile failed

* polish details

* polish grad op code

* fix expand && concat/transpose to new api

* update xpu_header

* update activation op on kunlun

* update activation op on kunlun

* update activation op on kunlun

* update activation op on kunlun

* update activation op on kunlun

* add nearest_interp on kunlun

* update error message

* add constant pad double grad

* fix wmt14 doc, remove backward, add bidirect direction in rnn api

* fix rnn unittest

* fix test_rnn_nets_static.py bug

* added UT should not exceed 15s

* fix error

* UT limit of 15s is the first to be executed

* fix error

* fix error with CI_SKIP_CPP_TEST

* modfied tiemout setting

* fix error

* add op test case for complex

* polish code details

* add xpu set constant support

* fix argument rror

* remove useless pyc file

* add transpose double grad test=develop

* fix bug of matmul_v2 for broadcast

* disable test_parallel_executor_profiler in cuda 10.1

* update set_tests_properties

* fix unittst unstable issue on ci machine

* fix unittst unstable issue on ci machine

* fix unittst unstable issue on ci machine

* support roi_align & affine_channel for kunlun

* minor