* remove paddle.fluid.layers.nn.temporal_shift

* code check

* rm unittest

* remove fluid.yolo_box

* remove fluid.yolov3_loss

* change the comments of yolov3_loss to yolo_loss

* clean fluild resize_trilinear

* clean fluild resize_bilinear

* clean fluild resize_nearest

* clean fluid image_resize

* fix test_trt_nearest_interp_op.py

* fix yolov3.py

* fix yolov3.py

* [Fluid Clean] Migrate program_translate.py/jit.py into paddle.jit dir

* remove transpose

* codestyle check

* modify CI_STATIC

* modify CI_STATIC

* modify enable static()

* remove unused import

* fix conflict about stack

* fix conflict about stack

* fix conflict about stack

* endless conflict

* [CodeStyle][F821] fix remained F821 issues

* refine comment

* fix _set_item

* remove paddle.fluid.dygraph.nn.conv2D

* fix ut

* fix conv fp16 UT

* [CodeStyle][py2][U008] remove unnecessary args in `super()`

* remove remained args

* revert changes in test_pylayer_op

* Revert "revert changes in test_pylayer_op"

This reverts commit ff185a9ae738afac3b0264f61bde6c6b7f72e7c4.

* revert some changes in example code

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* [CodeStyle][F401] remove unused imports in unittests/dygraph_to_static

* [CodeStyle][F401] remove unused imports in unittests/ir

* add noqa after required imports

* [CodeStyle] remove all future import

* revert test_error.py

* restore future import in example code

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

Reduce max iter size to fix windows openblas test_yolov3 random failure.
Decrease batch size to fix pe related unittest random failure.

As the title

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

I found the unittest failed due to batch size. Maybe the reason is that our CI machine has limited memory. I decreased the batch size.

As the title

[Dy2stat] decrease the batch size to decrease GPU usage.

* cast var in convert_logical_XX. 

* Add convert_ifelse function in convert_operators.py  

* Add logical_transformer. Remove LogicalTransformer from loop_transformer.py 

* Revert modified tests in PR24799(convert_while_stmt). 

* Comment and modify code that doesn't support `return` statement. 

* Remove unnecessary class: MergeAssignTransformer, NodeTestTransformer and IfConditionVisitor in ifelse_transformer. 

Add Yolov3 as ProgramTranslator Unit Test. The YoloV3 code is referred from PaddlePaddle/models/dygraph/yolov3