* update UTs 0

* fix ci

* fix ci 3

* add default_ctx in backward.py

* record grad_var_to_var with grad_times

* fix backward

* update annotation

* add complete_high_order_grad in complete_forward

* add dist slice op

* update grad_var_to_var type

* update partition_block init mapping before loss op

* update compatible for 'XShape' & update 'allreduce_vars'

* add dist reshape op when input dim equal to output dim

* update 'set_grad_var_shape' with grad_var_to_var

* fix dist slice

* fix set_grad_var_shape

* add dist pnorm op

* fix dist pnorm dist_attr

* fix engine startprogram & adapt highorder grad

* fix set_grad_var_shape when mp

* update unittest

* update cmakelist

* default strategy in engine: dp

* bug fix

* tiny fix

* flatten outputs

* fix default strategy

* init default ctx

* tiny fix

* test=allcase

* merge recent changes

* fix setting pipline

[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