* update loss.py in nn.functional and nn.layer module

* update nn.Pad1D and 2D,3D class in common.py

* add code copy from function anchor for cn docs code alignemnt

* update pad class in common.py

* update common.py in functional and layer model

* fix format issue

* update format issue

* update pad;test=document_fix

* update NLLLoss;test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* bugfix

* remove scaling

* support rescale_grad opt

* add unitest

* new executor support program._graph

* fix program._program if program is Program()

* move distribute_fpn_proposals

* fix some code

* fix yaml bugs

* add set dtype

* move proposal_impl to funcs

* fix compile bugs

* [CustomDevice] add profiler apis

* migrate CalculateEstOccupancy into cuda_tracer

* update

* add ut

* Add int8 support for matmul+elementwiae_add fuse

* Corrections after review and ernie test fix

* merge conv_concat_relu to conv_act

* fix typo

* extend unit test

* reuse existing gpd

* codestyle

* enforce mkldnn conv

some python c api use final state

* optimize python api to speed up eager exec

* optimize python api to speed up eager exec

* optimize python api to speed up eager exec

* pylayer detach output tensor if it is equal with input

* pylayer detach output tensor if it is equal with input

* add max_p without test

* add test of max_p

* make max_p consistent with paddle.maximum

* add forward inplace final state api

* fix bug

* fix reshape

* fix coverage

* add inplace info for erfinv, lerp, put_along_axis

* fix put_along_axis infer_meta

* fix format

* update yaml

* fix

* fix layernormTrt meanVar alloc bug

* Fix random op depenency and lr_shedule bugs for standalone executor

* Fix CI errors

* Fix CI errors

* Fix CI errors

* rewrite get free port strategy

* hide the old one

* add views in summary api

* add args in the last position

* add group_norm dyanmic plugin

* polish default param of XXX_interp_test, the same default value with XXX_interp_np

* set default value data_layout=NCHW, cause C++ end treat NCDHW the same way as NCHW

* add merged_momentum *test=kunlun

* add merged_momentum *test=kunlun

* add fp16 to merged_momentum,*test=kunlun

* change dist_model.cc

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

[CodeStyle] use np.testing.assert_allclose instead of self.assertTrue(np.allclose(...)) (part 3) (#45251)

* Make sure that the output of whilep must exist in the input

* insert assign in block(0)

* add unittest.

* add case where the HOME directory does not have write permissions

* add some notes

[CodeStyle] use np.testing.assert_allclose instead of self.assertTrue(np.allclose(...)) (part 2) (#45213)

* autofix (get ci log)

* retrigger ci

* fix test_gather_nd_op, wrong expected in dygraph

* fix test_activation_op, unpack static graph result

* fix test_auc_op, unpack static graph result

* fix test_bce_loss, unpack static graph result

* fix test_bce_with_logits_loss, unpack static graph result

* fix test_cond, unpack static graph result

* fix test_dygraph_weight_norm, wrong numpy reference when `axis=None`

* fix test_einsum, wrong matmul inputs

* fix test_elementwise_heaviside_op, unpack static graph result

* fix test_frac_api, unpack static graph result

* skip test_group_norm_op_v2, probably the wrong numpy reference

* fix test_imperative_double_grad, wrong subscript

* skip test_imperative_tensor_clear_gradient, ???

* skip test_layer_norm_op, probably the wrong numpy reference

* fix test_math_op_patch, unpack static graph results

* fix test_masked_select_op, unpack static graph results

* fix test_mse_loss, unpack static graph results

* fix test_multi_label_soft_margin_loss, unpack static graph results

* fix test_multi_dot_op, unpack static graph results

* fix test_nll_loss, unpack static graph results

* fix test_normalization_wrapper, unpack static graph results

* fix test_pass_builder, unpack static graph results

* fix test_prelu_op, possibly an extra comma

* fix test_psroi_pool_op, unpack static graph results

* fix test_queue, unpack static graph results

* fix test_reorder_lod_tensor, compare an item with a list

* fix test_rrelu_op, unpack static graph results

* fix test_searchsorted_op, unpack static graph results

* fix test_sigmoid_focal_loss, unpack static graph results

* fix test_smooth_l1_loss, unpack static graph results

* fix test_soft_margin_loss, unpack static graph results

* fix test_softmax2d, unpack static graph results

* fix test_square_error_cost, unpack static graph results

* fix test_tril_indices_op, unpack static graph results

* fix test_unsqueeze_op, mismatch numpy reference (axis)

* skip test_layers, `static_rlt` is missing an axis

* fix test_mnist, unpack PredictorTools result (also a list)

* fix test_build_strategy, unpack PredictorTools result

* fix test_mobile_net, unpack PredictorTools result

* fix test_resnet_v2, unpack PredictorTools result

* revert some changes

revert test_layers

revert test_group_norm_op_v2

revert test_layer_norm_op

revert test_imperative_tensor_clear_gradient

* fix test_normal, use flatten instead of reshape, (PR-CI-Windows-OPENBLAS)

* empty commit, trigger CI

* fix_shape

* add clip_grad

* fix comments

* add unittest

* update logger

* [Eager] add get_tensor_from_selected_rows

* add PADDLE_ENFORCE to check SelectedRows

* use _ prefix in temp

* transfer trilinear op to phi, change name from trilinear_interp_v2 to trilinear_interp

* reserve linear_interp param

* change testcase scale if-branch

* testcase test_imperative_case

* fix trilinear testcase

* import paddle in test_trilinear_interp_v2