[New API] add API paddle.vision.transforms.RandomErasing and paddle.vision.transforms.erase (#42280)

* add api RandomErasing
* add numpy/PIL backend support and UT
* fix doc and optimize UT
* add seed

This PR hotfixed the `test_cond.py` in CUDA 11.2

The reason of the bug is that the `fill_constant` op returns wrong value in the modified test case `test_extremely_simple_net_with_op_in_condition`, SWEs can use `layers.Print(a)` and `layers.Print(b)` in the test case to reproduce it and they can see the `fill_constant` returns something `e-50` instead of `1.23` and `1.25`

This PR hotfixed the bug by comparing `b` value instead of actual number, which makes sure the `cond` logic is right. **However, the PR didn't fix `fill_constant`**. We would let the SWEs who are working here to find the op bug and fix it.

* add Tensor support for sub-functions of colorjitter
* add UT

* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default.

* add opt_einsum dependence

* add yaml and support eager model

* fix by code review

* [Eager] Remove enable_legacy_dygraph setting

* Add more tests

* add double yaml

* add inline func

* [Dy2Stat]Fix losting pre/post hook from outermost layer while jit.save

* fix kwargs

* fix unittest

* add gradient merge for DistributedFusedLamb

* use master acc gradient

* fix CI ut

* polish

* remove math_function_impl.h change

* fix test_update_loss_scaling_op.py

* try to fix XPU/NPU CI

* add gm ut

* fix PIL sample mode deprecated warning

* compatible with old pil version

* test op_test test=allcases

* fix

* avoid copy many same file

* fix for win

* test PYTHONPATH

* change path adding way

* fix win

* use old way

* use old way test=allcase

* use old way test=allcase

* fix collections.Sequence in python3.10

* fix format

* added test for shuffle_channel_mkldnn_detect_pass

* added UT using new framework

* CI fix

* [DO NOT MERGE] test op_test

* update with more related modifications

* split op_test.py to use test=allcases for testing

* split op_test.py to use test=allcases for testing

* expose api

* ref clipgradbynorm

* update

* Update __init__.py

* 增加PixelUnshuffle的形状推断

* 增加PixelUnshuffle的算子注册

* 增加PixelUnshuffle及其梯度的核函数

* 增加PixelUnshuffle算子的描述

* 增加PixelUnshuffle算子的签名

* 在Python层面增加PixelUnshuffle

* 增加PixelUnshuffle的单测

* Update test_pixel_unshuffle.py

* test=document_fix

* Update test_pixel_unshuffle.py

增加对extra_repr的测试

* 修正代码格式

* Update test_pixel_unshuffle.py

修正对extra_repr的测试

* 修改pixel_unshuffle核函数的实现位置

* 修正代码格式

* 完善对输入的检查

* Update test_pixel_unshuffle.py

* 完善pixel_unshuffle的输入检查

* Update pixel_unshuffle_op.cc

* Update unary.cc

* add pixel_unshuffle

* Update test_pixel_unshuffle.py

* Update vision.py

* 调整代码格式

* Update vision.py

* Delete extra spaces

* Update pixel_unshuffle_sig.cc

* Update vision.py

* Update vision.py

* add PixelUnshuffleGradInferMeta

* remove PixelUnshuffleOpArgumentMapping

* Update pixel_unshuffle_op.cc

* 调整pixel_unshuffle及其梯度的核函数的实现位置

* Update pixel_unshuffle_op.cc

* [Eager] Support final_state_adam when argument grad (position 1) is selected_rows

* Remove needless code

* Add adam_dense_param_sparse_grad kernel