* add softmax_switch for softmax_with_cross_entropy_op, test=develop

* delete using EigenMatrix in softmax_with_cross_entropy_op.h, test=develop

* add REGISTER_OP_VERSION for softmax_switch attr of softmax_with_cross_entropy_op, test=develop

* fix bug with jit.save

* refine code

* remove the send/recv of tensor size, but users have to specify the shape of the received var explicitly.

* bugfix for test_cholesky_op

* bugfix for test_compare_op

* bugfix for lookup_table_op

* bugfix for affine_channel_op

* add precision on mac

* added judge

* match file_ut.json on mac

* fix code format error

* fix code format error

* fix error caused by length of ut_lists exceeds the limit

* fix format error,notest,test=cpu

* fix code format error

* add windows judge on get_pr_ut

* - introduced fix onednn 2.2 version

* - compilation fix

* add precision test for windows ci exclude check_added_ut

* fix error

* added PRECISION_TEST parameters

* fix format error

* auto specify PADDLE_WITH_MKLDNN and remove Interpretper

* remove print

* fix check abi

* fix windows

* fix compile flags

[Kunlun]Multi xpu dygraph performance optimization , add distributed.spawn support for multi xpu and some bug-fixes (#31130)

* fix python full coverage decrease issue

* fix

prepare remove grad op and kernel script.
update Paddle_CI_Inference pipeline.

* fix modified_retry_method_only_win

* fix bug

* fix retry bug on windows

* improve performance of depthwise_conv2d

* add unittest

Fix wrong code comment

Fix Read-Only Attribute as while_loop Output:

Usually, our convert_while_loop will be like:
```
    [a, b, c] = paddle.jit.dy2static.convert_while_loop(
            condition_name, body_name, [a, b, c])
```
where a, b, c are in loop_var_names.

However, if loop_var_names contains property such as foo.x, we cannot
assign the attribute as output of convert_while_loop because Python
property is a kind of read-only attribute. To handle the case, we replace
the attributes which are output of convert_while_loop with generated
variables, then if we know the attribute is not read-only at runtime, we
assign the attribute. The created statements are like:
```
    [a, b, __attribute_variable_1] = paddle.jit.dy2static.convert_while_loop(
            condition_name, body_name, [a, b, foo.x])
    if not isinstance(getattr(type(foo), x, None), property): foo.x = __attribute_variable_1
```