* move instance_norm from fluid to static

* move group_norm, data_norm to static

[Clean fluid] Clean maxout, space_to_depth, affine_channel, similarity_focus and add_position_encoding (#48410)

* Clean fluid maxout

* Clean fluid space_to_depth

* Clean fluid affine_channel and related tests

* Clean fluid similarity_focus and related tests

* Clean fluid add_position_encoding and related tests

* Fix code style

* remove triu

* use paddle.triu

* Replace paddle.fluid.layers.gather_nd with paddle.gather_nd

* replace gather_nd with paddle.gather_nd

* fix the call of gather_nd

* fix code style of gather_nd

* Clean fluid resize_linear API

* Clean fluid image_resize_short API

* add image_resize back

* Clean psroi_pool and prroo_pool

* Clean roi_pool and roi_align

* delete test_trt_roi_align_op.py

* add trt support

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* Remove API: squeeze
	Modify the funcation all of squeeze.
	Use paddle.squeeze to replace paddle.fluid.layers.squeeze

* Remove: squeeze
	fix some modifications which are not needless to the original
format

* Fix the function call of 'squeeze' from old style to new style.

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

* Modify the call of squeeze from old style to new style

* replace squeeze with paddle.squeeze

* modify the nn.py based on the review suggestion

remove a redundant comment.

* remove one comment which is not necessary

* remove crop_tensor which is not used in paddle 2.0

* replace the crop_tensor with paddle.crop in orgnizing network

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

* [NPU] apply npu_identity to conv bn and copy2cpu, test=develop

* update npu identity to share data with x, test=develop

* address review comments, test=develop

* remove flatten in nn.py under fluid

* fix test case

* fix test case

* fix codestyle

* fix codestyle

* fix code style

* remove extra test case

* remove test case

* add pattern for auto search

* add unittest

* add matmul_flops

* add dropout,layer_norm ...

* add dropout,layer_norm ...

* add elementwise_flops

* add dict check

* add unitests

* add equation for flops computation

* regularized annotations

* clear fluid api: warpctc, nce, identity_loss

* fix test_layers.py __init__.py

* fix loss.py

* change __init__.py and api calling method

* fix nce

* fix nce

* fix fluid.data

* delete warpctc api document

* fix loss.py

* fix ctc_loss

* fix test_warpctc_op.py

* fix test_layers.py

* fix some bug

* fix conflict

* fix ci bug

* Empty Commit test=allcase

* fix ci bug

* add_gather_nd_

* add_gather_nd_

* add_gather_nd_

* remove fluid.reduce_sum

* remove fluid.reduce_sum

* modify axis and import paddle

* modify keepdim and out_name

* modift unittest

* modift unittest

* modify CI_static and loss.py

* modify test_mse_loss

* modify static ci

* modify static ci datatype

* add import paddle in test

* fix conflict

* fix conflict

* modify ci

* modify ci

* fix_conflict

* fix bug

* code_style

remove random_crop which is not used in Paddle 2.0

* refactor: move all_gather

* add isort config

* isort all files

* 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

* 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