* add cudnn into whl package

* add cudnn dso into whl package

* let WITH_CUDNN_DSO be consistent with WITH_GPU

* fix WITH_CUDNN_DSO in paddle_build

* Add six for @to_static and add CI approval

* add six

* refine logic

* delete approve

* fix return

* add ImportError

* typo `moduels` -> `modules`
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* add bilinear OutSize

* Support NHWC layout in GroupNorm

* fix cteset

* Standardise batch norm

* standardize conv3d and depwise_conv2d

* fix ci bugs

Improve the tool for checking nan and inf, and support to compute the max, min and mean of output tensor. (#47095)

* Improve the tool for checking nan and inf, and support to compute the max, min and mean of output tensor.

* Add a FLAGS to control whether abort when meets inf/nan and polish codes.

* Fix unittest.

* Change the computing of mean.

* add unbalanced data

* fix utest

* [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)`

* refine comments,test=kunlun

* link xpu lib, test=kunlun

* add sleep for test, test=kunlun

* merge develop, fix compile, test=kunlun

* remove debug code, test=kunlun

* add dependency to avoid potential concurrency error, test=kunlun

* standard_api

* add hardtanh

* [CodeStyle][E712] use `if cond`/`if cond is True` for comparison with `True`

* revert changes in fluid

* revert unrelated file

* revert changes in norm

* revert changes in auto_parallel_amp

* fix norm and auto_parallel_amp

* revert a typo fix due to fixed at #47477

* [Auto Parallel] Improve the c++ dist attr

* [Auto Parallel] Modify test_program.py

* Support custom stream for standalone executor
Co-authored-by: NYulong Ao <aoyulong@baidu.com>

* Einsum Support Complex

* code fix

* add unittest for complex grad with einsum

* set rtol=1e-4

* fix

* [CodeStyle][py2] remove `six` package (part2)

* six.ensure_str

* remove unused `import six`

* remove six from BUILTIN_LIKELY_MODULES

* remove six in example code

* remove some decode

* try to fix example code

* fix MockEtcdClient get/get_prefix returns data type

* fix MockEtcdClient get_prefix returns data

* fix MockEtcdClient get returns data

* remove `six` in pypi and conda requirements

* fix MockEtcdClient add_watch_callback/add_watch_prefix_callback returns data type

* refine MockEtcdClient

* gene static graph code for ceil, expm1 op

* gene static graph code for some activation op

* fix bug

* revert doc of silu and logsigmoid

* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* fix map at error

* Update paddle/phi/kernels/onednn/conv_grad_kernel.cc
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* remove useless extra attrs

* replace mkldnn_engine by onednn_engine
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* standard api

* fix ci bugs

* fix ci bugs

* fix ce bugs

* add unittest for einsum-v2-trace and diagonal

* repeat labels.

* einsum support repeated labels.

* forward is ok for diagonal and undiagonalized.
TODO: check backward is ok by our theorem.

* backward is ok!

* fix by PR suggestions.

* fix ci error

* fix ci error

* fix ci warning

* feat: add int8 support for vit

* test:add test

* [Auto Parallel] Improve the c++ dist attr

* [Auto Parallel] Modify test_program.py

* [Auto Parallel] Add the missiong import

* fix typo `Fasle`/`Flase` -> `Flase`

* fix typo `Ture` -> `True`

* fix python module not found bug

* delete unused cast,test=allcases