* add constant pad double grad

* 添加rocm平台支持代码

* 修改一些问题

* 修改一些歧义并添加备注

* 修改代码格式

* 解决冲突后的代码修改

* 修改operators.cmake

* 修改格式

* 修正错误

* 统一接口

* 修改日期

* add static.amp into setup.pu.in

* add unittest for api

* improve grad perf

* 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

* add alias for fluid.contrib.mixed_precision

* fix the dowanload bug
* add sort for ips

* fix bug of matmul_v2 for broadcast

只检查增的情况，不检查删除情况

* 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

* add service, remove ut on mac

* fix heter_profiler & add heter stop method

* fix code style

* fix compile problem when cuda_arch < 6000

* refine code

* refine code

* 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

* Sharding add hybrid-dp feature

* update sharding in distributed_strategy

* update sharding unitest

* revise code format for sharding