* 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

* change hard_swish from plugin to layer

* add ut when threshold != scale

* update, test=develop

Co-authored-by: Nroot <root@bjhw-sys-rpm0223.bjhw.baidu.com>

* fix the ut of matmulv2 for broadcast

* update reduce_sum op on xpu

* update reduce_sum op on xpu

* support running on xpu

* fix tensorrt unittest precision error

* fix unittest precision error. test_trt_subgraph_pass && test_trt_dynamic_shape_transformer_prune

* add deform_conv2d,DeformConv2D

* rm complexvariable

* modify test_var_base unittest

* remove duplicated codes

* fix DLTP-15151, paddle.ParamAttr API

* fix DLTP-15083/DLTP-15274, paddle.nn.functionl.assign paddle.cast API

* fix DLTP-15431/DLTP-15432, paddle.static.nn.conv2d paddle.static.nn.conv2d_transpose API

* fix DLTP-15083, paddle.nn.functionl.assign API

* fix DLTP-15431/DLTP-15432, paddle.static.nn.conv2d paddle.static.nn.conv2d_transpose API

* support in_dygraph_mode for cast op, test=develop

* fix bug,test=develop

* fix doc

* fix DLTP-15431/DLTP-15432, paddle.static.nn.conv2d paddle.static.nn.conv2d_transpose API

* Fix api docs in RNN, Transformer, layer_norm, WeightNormParamAttr.
test=develop

* Fix api doc for print in label_smooth.
test=develop

* Update api docs according to review comments.
Add name argument in RNN back.
test=develop

* add complex64 and complex128 type; add +-*/@ and slice opreator for complex types

* add test cases for complex elementwise, matmul and getitem unittest

* add test cases for complex types

* add test cases for complex matmul unittest

* kron, reshape, transpose support complex types

* sum and trace op support complex types

* add test case of sum and trace op

* fix the bug of imag part of complex not initialized

* format file

* format code style

* kron support type promotion; modify test cases