* adapt pad const

* fix comment and rm fluid import

* rm stdout

* fix note

* add unittest and check unittest for windows

* fix lstm OP compile error on windows

* fix pool exclusive and delete disable_static, test=develop

* fix pool1d  exclusive, test=develop

* fix output dtyp inconsistent with input

* refine code

Co-authored-by: Nyaoxuefeng6 <yaoxuefeng@baidu.com>

fix the gradient bug for the topk v2 

* add WeightedRandomSampler. test=develop

* Add checkpoint to quantize

* Change bfloat16 option

* add mkldnn inplace op version test

* update mkldnn_inplace fuse pass

* update the inplace test

* fix test_multinomial

* fix test_multinomial add 0 prob

* DataLoader support not auto collate batch. test=develop

PaddleSeg uses tuple as parameter of transpose in dygraph code:
https://github.com/PaddlePaddle/PaddleSeg/blob/release/v0.7.0/dygraph/paddleseg/models/danet.py#L152

However, in dy2stat, static code doesn't support the perm as a tuple. This PR fixed it.

* Fix gradients with ignore_idx in softmax_with_cross_entropy.
test=develop

* Fix gradients with ignore_idx in softmax_with_cross_entropy on cpu.
Remove softmax_with_cross_entropy from op_threshold_white_list.
test=develop

* Fix test_softmax_cross_entropy_op.py.
test=develop

Fix no_grad setting in AdamW.
test=develop

* Support squeezed label as input in paddle.metric.Accuracy
* Revert cifar and fix UT

* register op_version for addto

* upgrade pass capability

* change eq to le

* change eq to le

* fix merge

* fix vgg num classes

* fix summary for rnn gru lstm

* open a part of GPU unittest for windows

* open a part of GPU unittest for windows

I found the unittest failed due to batch size. Maybe the reason is that our CI machine has limited memory. I decreased the batch size.

* update, test=develop

register the op version for some ops