* 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

[Dy2Stat] 1. Fix bug of for-range stmts. 2. Support that step value is negative in for-range stmts (#29519)

1. Fix error in _build_cond_stmt of for-range stmts. 

2. Support that step value is negative in for-range stmts

3. Fix code because of the diff between Py2 and Py3

Fix 3 Windows Unittests

test_fuse_all_reduce_pass: Paddle cannot run multiple-GPU on Windows so set single visible GPU flag
test_feed_data_check_shape_type: Paddle cannot run multiple-GPU on Windows so set single visible GPU flag
test_tsm: Winodws GPU size is not enough so decrease batch size and data size.

* Fix a bug when running on an operating system without "bash."

* add execution condition

* for ci-coverage

* get cpu information to check the precision problem

* Update compilation environment for musl version

* update dependencies

* remove test code

check cpu info

remove test code

review

* update alpine and third_party denpendencies

* add newline for ci Code format

* 1.fix matmul bug 2. add one hot

* add xpu error msg

* add fast path for p == 0 in dropout

* add ut

* fix random seed in nll_loss unitest test=develop

* Fix bf16 activations test for softmax and gelu

* Resolve conflict

* Add ReserveSpace in dygraph batch_norm.

* Add unittest for reservespace

* Flags assert condition more general, print output if pattern not found

* removed test_flags_use_mkldnn form skip list regarding #29080 descr

* remove tensor copy in the update_loss_scaling op

* not use thrust.

* fix some cuda memory access error.

* support deepcopy for Layer/Tensor/Paramerbase

* fix some code

As the title 

As the title

* remove addcmul

* remove unittest and other related code of addcmul

* fix bug

* fix merge conflict

fix abs double grad unittest & define the data range for the abs double grad

* add tensor_indices in AssignGroupBySize

* add rebuild group in reducer

* fix the bug of reducer in embedding

* add comment