* rm unittests eager guard tests part19 rnn2sparse_model

* fix conflix

* fix set value

Replace `assert np.close` with `np.testing.assert_allclose` in collective communication unittests (#49195)

* refactor: replace `assert` with `assert_allclose`

* chore: add coverage conf

* revert: remove incorrect coverage conf

This reverts commit 9df0ab32.

* fix onednn squeeze bug

* add test

* update kernel

* remove unittests eager guard tests part2

* rm bicubic eager guard tests

* review

* fix

* fix dtype bug in bce_loss_with_logits

* rm eager guard tests part3_2

* modify

* delete FLAGS_enable_eager_mode

* solve conflicts of remove_lod_reset and latest develop version

* add lod_reset to the no_grad_set_white_list.py

* 移除 declarative 接口

* 修改 CI报错，清理注释

* remove fluid.mul

* remove mul in __all__

* rm unittest eager guard part1

* review

* reset spwan runner base

* reset op_test

* rm test_type_core

* General optimization for no_varlen embedding layernorm

* add 0-d support for paddle.kthvalue

* add 0-d support for paddle.mode

* fix coverage test for device

* move conv2d

* code-style and build bug

* restore c++

* code-style

* rm fluid init conv2d

* remove nn.conv2d

* modify doc

* move translated layer

* fix build bugs

* fix unittest bug

* trigger ci

* add xpu backward testcase

* polish code

* fix self.custom_op error

[Clean Fluid API]Remove API: unsqueeze, use paddle.unsqueeze to replace paddle.fluid.layers.unsqueeze (#47936)

* Remove API: unsqueeze
	Replace the funcation call.
	Use paddle.unsqueeze to replace paddle.fluid.layers.unsqueeze

* Remove API: unsqueeze
	remove unsqueeze which is not used in Paddle 2.0

* Remove API: unsqueeze
	fix the bug by adding 'import paddle' to file
tests/unittests/test_rnn_cell_api.py

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

* fix the call arguments of unsqueeze

* replace unqueeze with paddle.unsqueeze

* fix the error in PR-CI-Static-Check, name 'paddle' is not defined

* fix the error in static in unsqueeze

* cast to higher precision type to prevent fp16 diff problem

* fix bilinear backward and add more unittest case

* change staticRNN to while

* update code

* fix rnn bug

* update

* fix _find_op_path_ bugs in append_backward.

* polish code

* revert op proto

* update

* udpate while

* format

* revert test while loop op

* fix create array

* fix windows error

* fix bug

* update

* fix array write bug
Co-authored-by: Nxiongkun <xiongkun03@baidu.com>

* remove lstm api

* remove gru_unit api

* remove lstm in all

* remove beam-search

* remove beam_search slot

* remove lstm test code

* remove fluid.layers.nn api

* update gru-unit

* revert gru_unit white list

* remove reference in sample code for `fluid.layers.cross_entropy`

* fix error

* fix doc codestyle and remove api `layers.cross_entropy` && `layers.cross_entropy2`

* fix unittest test_fleet_hybrid_meta_optimizer && test_fleet_sharding_meta_optimizer

* rm unittests eager guard test part16 meshgrid2normalize

* modify

* remove density_prior_box

* remove anchor_generator

* remove roi_perspective_transform

* remove generate_proposal_labels

* remove generate_mask_labels

* remove generate_proposals

* remove box_clip

* remove retinanet_detection_output

* remove multiclass_nms

* remove locality_aware_nms

* remove matrix_nms

* remove distribute_fpn_proposals

* remove box_decoder_and_assign

* remove collect_fpn_proposals

* remove 2 trt files

* move prior_box to static/nn/common.py

* move multi_box_head to static/nn/common.py

* fix for CI/CE

* remove retinanet_detection_output

* restore compile_vs_runtime_white_list.py

* restore test_retinanet_detection_output to white list

* replace nn.flatten by paddle.flatten, and fix doc for retinanet_target_assign

* add enable_static in demo and fix bug

* remove roi_perspective_transform in test_layers

* remove multi_box_head

* change self.multiclass_nms to _legacy_C_ops.multiclass_nms

* empty commit

* empty commit

* check code style

* fix prior_box

* fix CI

* remove redundant prior_box in detection.py

* fix docs

* remove detection

* fix prior_box en doc

* delete prior_box in common

* remote proir_box from __init__.py

* rm unittests eager guard tests part11 imperative_layer2ocr

* review