* group norm fp16 support

* Clean fluid resize_linear API

* Clean fluid image_resize_short API

* add image_resize back

* attr ready

* op ip ready

* start dynamic

* end2end ok

* input shape to map, stat by op

* layer wip

* first version ready

* fix proto depds

* fix profiler deps

* fix flops typo, rm tuple shape

* support xpu scalar inplace

* sharding for xpu
Co-authored-by: Nheyanru <81976792+heyanru01@users.noreply.github.com>

* add index sample fp16 support

* remove fluid APIs in distributed_strategy.py and role_maker.py

* Revert "remove fluid APIs in distributed_strategy.py and role_maker.py"

This reverts commit 223bbee990d3bf69e252fc3c0f19e3873550a264.

* remove fluid APIs in distributed_strategy.py and role_maker.py

* remove index sample op changes

* remove fluid APIs under fleet.base

* remove fluid APIs under fleet.layers.mpu

* remove fluid APIs under fleet.meta_optimizers

* fix fluid error

* fix util_factory.py

* reset fluid.io.load_inference_model API

* move conv3d

* remove unused import

* remove brelu in nn.py under fluid

* add brelu op test case

* support default use_gpudnn=True

* fully support cudnn in phi

* add header file

* add white_list, verify accuracy

* phi support all cudnn

* opt affine_grad

* try different arches of pretrained_model

* try different arches of pretrained_model

* add debug string

* debug eager_method

* add debug string, pass all local ctest

* polish all debug code

* delete use_cudnn relevant code autogen

* fix depthwise_conv2d

* Share all other members of Tensor except use_cudnn

* polish codes according to review opinion

* polish codes according to review opinion, fix bug

* polish codes according to review opinion, opt performance

* polish codes according to review opinion, fix pooling.py

Note: this is a temporary solution, should be replaced once reduce kernel
is natively supported on KL2

* remove expand and eye under fluid.layers

* delete expand API test case

* do not calc reduce_all in eager mode

* refine python c cast list

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* eager tensot support pickle

* dense tensor in eager mode support data_ptr

* Remove API: scatter
	replace paddle.fluid.layers.scatter with paddle.scatter

* modify the call of scatter from old style to new style

* feat: static check

remove mean_iou which is not used in paddle 2.0

* add nparray case for basic operator

* fix unit test

* fix unit test

* add unit test

* fix unit test

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add masked_selected_grad kernel,test=kunlun

* Remove API: label_smooth (replace with paddle.nn.functional.label_smooth)
	Replace the paddle.fluid.layers.label_smooth with the
paddle.nn.functional.label_smooth

* modify the call of label_smooth from old style to new style

* fluid clean move out LayerList, ParameterList, Sequential from fluid

* copy Sequential from fluid to paddle.nn

* replace fluid LayerList,ParamterList, Sequential in unit test file

* add omit unit test file use paddle.nn.Sequential

* remove numpy and use paddle.uniform instead

* first commit

* 2nd commit

* 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

remove dice_loss which is not used in paddle 2.0

* clear fluid apis: center_loss, bpr_loss, edit_distance, hsigmoid, sampled_softmax_with_cross_entropy, rank_loss, margin_rank_loss,  sigmoid_cross_entropy_with_logits, huber_loss

* fix python/paddle/fluid/layers/loss.py

* fix test_layers.py

* fix CI bug

* fix nn.py

* list112-122, test=document_fix

* precommitfix, test=document_fix

* list112-127, test=document_fix

* fix_ResNetBasicBlock, test=document_fix

* pre-commit_resnet, test=document_fix

* refix, test=document

* refix, test=document_fix