* [CodeStyle][E711] use `is`/`is not` for comparison with `None`

* `self.assertTrue($A is None)` -> `self.assertIsNone($A)`

* `self.assertTrue($A is not None)` -> `self.assertIsNotNone($A)`

* `self.assertFalse($A is None)` -> `self.assertIsNotNone($A)`

* `self.assertEqual($A, None)` -> `self.assertIsNone($A)`

* `self.assertNotEqual($A, None)` -> `self.assertIsNotNone($A)`

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* [CodeStyle] remove all future import

* revert test_error.py

* restore future import in example code

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

* Update creation.py

修复Returns格式问题

* 【Fix en docs】 Fix document formatting

修复Returns和Return Type格式问题。

* 修复格式，解决中英文文档不一致问题

为了解决中英文不一致的问题，统一将Returns内容第一个标点符号改成逗号。删掉Return Type

* fix大量 与 Return Type 和 Return相关的文档

* Convert Variable and LoDTensor to Tensor

* Update python/paddle/nn/functional/common.py
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* Update detection.py

* Update io.py

* Update io.py

* Update loss.py

* Update loss.py

* Update io.py

* Update io.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update nn.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update sequence_lod.py

* Update metrics.py

* Update metrics.py

* Update metrics.py

* Update metrics.py

* Update metrics.py

* Update nets.py

* Update reader.py

* Update nn.py

* Update io.py

* Update nn.py

* Update io.py

* remove Return Type to Returns

* Update sequence_lod.py

* Update sequence_lod.py

* Update common.py

* Update common.py

* Update extension.py

* Update creation.py

* update*test=document_fix

* Update io.py

* Update manipulation.py

* Update sequence_lod.py

* Update common.py

* Update common.py

* Update common.py

* Update common.py

* update*test=document_fix

* update*test=document_fix

* Update loss.py

* Update loss.py

* update*test=document_fix

* paddle.crop

* for ci;test=document_fix

* update io;test=document_fix

* Update io.py

* update sequence_expand docs;test=document_fix

* update note typos;test=document_fix
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* 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

* upgrade comment string to raw string

* fix string in

* fix string with ' '

* revert update on comments

* upgrade only necessary

* fix sample code checker

* fix comments with '''

* modify cond while_loop to paddle.static.nn.cond

* modify crop_tensor to paddle.crop

* modify Variable to paddle.static.Variable

* remove nn.beam_search, nn.beam_search_decode, nn.gather_tree

* remove bpr_loss, center_loss, rank_loss, smooth_l1, teacher_student_sigmoid_loss, edit_distance, sampled_softmax_with_cross_entropy in nn.functional

* remove apis in nn.functional.learn_rate.py

* remove pool2d, pool3d, adaptive_pool2d, adaptive_pool3d in nn.functional

* remove apis in nn.functional.vision

* remove erf, soft_relu in nn.functional.activation

* remove apis in nn.functional.extension

* remove nn.functional.rnn

* remove hash from nn.functional.lod

* remove row_conv from nn.functional.extension

* remove one_hot, pad2d, pad_constant_like from nn.functional.common

* remove nn.gather_tree, nn.BilinearTensorProduct, nn.Pool2D, nn.Pad2D

* remove apis from optimizer.__init

* remove tensor.creation.fill_constant

* remove elementwise_mul in nn.functional.common and  modify to paddle.multiply

* remove  tensor.stat.reduce_mean

* remove reduce_all, reduce_any in tensor.logic

* remove apis in tensor.math

* remove apis in tensor.__init__

* remove has_inf, has_nan in tensor.search

* remove apis in framework.__init__

* remove apis in paddle.__init__

* remove apis in nn.functional.__init__

* modify removed alias apis to raw api in doc and unittests

* fix remove grid_sample bug

* modify removed alias apis to raw api in doc and unittests

* modify removed alias apis to raw api in doc and unittests

* modify removed alias apis to raw api in doc and unittests

* modify removed alias apis to raw api in doc and unittests

* modify removed alias apis to raw api in doc and unittests

* modify removed alias apis to raw api in doc and unittests

* delete alias api relastions in doc

* reserve paddle.compat, paddle.sysconfig

* remove unittest for paddle.reduce_all, paddle.reduce_any

* modify removed alias apis to raw api in doc and unittests

* recover paddle.save and paddle.load

* resolve conflicts

* fix sample code missing paddle.enable_static() bug

* fix sample code missing paddle.enable_static() bug

* fix to_string sample code error

* test=document_fix

* Update metrics.py

* test=document_fix

* test=document_fix

* test=document_fix

* test=document_fix

Fix english doc api: sequence_slice, sigmoid_cross_entropy_with_logits, ssd_loss, DetectionMAP, detection_map (#20405)

* Fix english doc api: sequence_slice, sigmoid_cross_entropy_with_logits, ssd_loss, DetectionMAP, detection_map

* fix spelling errors; test=develop

* Update API.spec

update md5

* Update API.spec

* change the order of api;test=develop

* Remove layers.detection_map API
* Since uers can use fluid.metrics.DetectionMAP to calculate mAP of current-batch and cumulative-batch. layers.detection_map only can calculate cur-batch mAP.

1 metric update should be in the for loop. 2 sample_num is the shape's first element 3 preds cast should use round, astype("int32") method will cast all the elements(which is less than 1) to 0.

test=develop

* fix api format and examples

test=develop

* Update executor.py

test=develop

* Update nn.py

* Update nn.py

test=develop

* Update nn.py

test=develop

test=develop

test=develop

evaluator.py throws warnings and tell users to use DetectionMAP in metrics.py, but it is wrong in metrics.py.
So refine this API in metrics.py.

test=develop

* reimplement auc in pyton

* reimplement auc in fluid

* add auc unittest


* replace new auc in layers


* add batch Auc in Fluid

* name formated

fix AUC op
optimize it's test

* "add some api reference"

* "fix based on preview"

* "fix evaluator"

* "remove template doc"

* "add some api reference"

* "fix based on preview"

* "fix evaluator"

* "remove template doc"