[Fluid Clean] remove unfold, deformable_roi_pooling, shard_index, hard_swish, mish, uniform_random, unbind (#48451)

* replace log with paddle.log

* replace log with paddle.nn.functional.log

* fix the code style of remove_log

* fix the ImportError of log

* fix the error of modification of the dist_transformer.py

* fix error of Static-Check

* isort all files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* remove brelu in nn.py under fluid

* add brelu op test case

* first commit

* 2nd commit

* remove hard_sigmoid in nn.py under fluid

* fix hardsigmoid test case

* fix hardsigmoid test case

* remove apis in fluid.ops

* fix test_activation_nn_grad

* fix circle import error

* fix ops

* fix cos

* fix divide not inplace

* remove lazy-import part

* remove relu6 test case under fluid

* fix relu6 test case in mkldnn_elt_act_fuse_pass

* remove swish in nn.py under fluid

* fix tswish test case

* [CodeStyle][py2][U004] unecessary explicit `object` inheritance in class definition

* fix an increment

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* [Zero-Dim] support input 0D Tensor for unary api

* fix CI

* [CodeStyle] remove all future import

* revert test_error.py

* restore future import in example code

* fix hard_swish inf

* skip_check_grad for mkldnn op

* 'fix code style'

* fix unittest

[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

[CodeStyle][NPU] use np.testing.assert_allclose instead of self.assertTrue(np.allclose(...)) (part 1) (#44988)

* autofix

* try resolve precision issues

* revert some changes

* clean some `err_msg`

* 0.0001 -> 1e-4

* update commented assert code

* try to fix some shape errors

* `numpy` -> `np`

* empty commit, trigger kunlun ci, test=kunlun

* empty commit, retrigger kunlun ci, test=kunlun

* empty commit, trigger kunlun ci, try fix npu memcpy_h2d, test=kunlun

* try fix npu import error, test=kunlun

* add yaml and utests of phi softplus

add yaml of softplus

fix softplus bug in phi

* update utests

* bug fix

* bug fix for test_layers

* layer api match

* match def and doc in ops.py

* doc polish

* fix unwanted modified of thresholded_relu

* style imporve

* test_activation_op unitest error, yaml & activation.py in_dygraph_mode incomplete

* fix test_activation_op unitest error, add yaml and dygraph test

* fix code style with pre-commit

* try to fix namespace error of abs in activation_functor.h

* fix namespace error of abs

* add relu6 kernel and yaml

* format files

* format code and fix bug

* fix build failed

* 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

* add double grad yaml

* fix bugs when compile infrt

* add swish yaml and final state api

* skip mkldnn test

* fix grad mkldnn test

* add yaml

* perfect converage

* add exp yaml

* add exp api in test case

* add determinant yaml

* fix exp op unittest

* change test class name

* modify api name

* compacted with raw api

* fix det api

* add python_api

* add test eager for determinant op

* gather op

* add mod

* add yaml for ele_max ele_min

* add yaml for: mish / logexpsum / expm1 / elemenwise_pow / elementwise_floordiv

* 1. add the python api grad 2. add final and intermediate state vlog 3. change the python_api error logic

* add python api or close the check_eager=True

* fix the compatibility

* [Yaml] Migrate sqrt/square/reciprocal yaml

* clean file

* fix unittest error

* 1. add the python api grad 2. add final and intermediate state vlog 3. change the python_api error logic

* add python api or close the check_eager=True

* fix the compatibility

* matmul

* disable unittests: test_elementwise_add_op test_scatter_nd_op test_gather_nd_op test_scatter_op test_index_sample_op test_elementwise_add_mkldnn_op

* add activ

* refine unittest

* refine unittest

* refine unittest

* refine unittest

* refine code

* add digamma, abs, trunc; test=develop

* fix bug and add diagonal; test=develop

* add name coverter; test=develop

* update tracer.py; test=develop

* add test case; test=develop

* fix bugs; test=develop

* add mish operator and api

* remove redundant code and modify grad_atol of mish unittest

* modify mish code to be consistent with other activation implementation