* fix

* fix

* fix

* fix

* fix

* fix fuse group order

* rename _varbase_creator as create_tensor

* rename _varbase_creator as create_tensor

* cherry-pick fleet executor from 2.4

* fix test case

* remove hccl in .py files

* remove ascend in setup.py.in

* remove ascend in setup.py

1. modify set_value op, use Scalars to represent attr `values`, instead of a bunch of attributs of various types; (#52408)

2. add program converter and set_value op as an example, which provides the functionality to convert `paddle::framework::ProgramDesc` between old and new formats(the differences are mainly some operators with incompatible updates in the definition);
3. program version and operator version map now are always saved when serializing `paddle::framework::ProgramDesc` to identify the version;
3. provide an option `legacy_format=false` in  serialization of `paddle::framework::ProgramDesc`, it decided whether to convert ProgramDesc back to a legacy format, which is compatible for paddle 2.4.2 or earlier versions to load and execute;
4. deserialization of `paddle::framework::ProgramDesc` is now automatically detecting whether the bytes it receives is in legacy format(contains any of the operators that has been incompatibly updated and have any attribute of type `Scalar`) and convert it to new format. But if you want a faithful deserialization without the automatic conversion, you can use protobuf's deserialization instead. Though it is not recommended, it can be used for the purpose of testing.

* add auto parallel tuner options in launch

* add ut for launch in auto_parallel tuner

fix code format

* fix ci-converage

* remove c_comm_init_hccl_op.cc and c_gen_hccl_id_op.cc

* remove gen_hccl_id_op.cc

* add seed control

* fix bug

* fix mkdir

* update

* rem is_compiled_with_npu

* rem nup related code

* make lint happy

* rem test

* remove some tests

* Update grad_scaler.py

* fix an error

* relocate debugger.py

* fix bug

* fix bug

* fix bug

* fix bug

* rem is_compiled_with_mlu

* fix some mlu_place and mlu_device_coount

* make lint happy

* autofix
Co-authored-by: NLiyulingyue <83450930+Liyulingyue@users.noreply.github.com>

* revert changes in python/paddle/distributed/fleet/utils/hybrid_parallel_util.py

* empty commit, trigger ci

* fix test_slice

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* Support ignore_index for c_softmax_with_cross_entropy_op.

* Polish code. Remove useless comments and add Testcase.

* Polish code for TestCase.

* Polish code.

* Polish code style.

* Polish code.

* Change loss calculation formula and ignore_index dtype.

* Polish TestCase.

* Fix bug of c_softmax_with_cross_entropy_op_xpu_op. Attribute 'ignore_index'
dtype is int64_t.

* remove sync_calc_stream and sync_comm_stream

* fix ci bug

* fix

* fix

* fix

* fix bug in proto

* add utest

* support python object input data broadcast for model parallel

* add unittest

* fix

* fix concat 0D tensor

* fix codestyle

[CodeStyle][C416][C417] rewrite unnecessary comprehension with function call and use generator instead of map (#52140)

* codestyle c416 c417

* fix error

* fix inc

* unify all C4 rules into one

* fix inc

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* delete old dygraph op test

* add up34

* modify var name in loop

* revert changes in test_slice

* Revert "modify var name in loop"

This reverts commit 6d748e371afb417054ed0c6b36fd11e87959a90d.

* temporarily ignore test_slice.py

* add comment

* empty commit, re-trigger all ci

* fix inc

---------
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* Support ignore_index for c_softmax_with_cross_entropy_op.

* Polish code. Remove useless comments and add Testcase.

* Polish code for TestCase.

* Polish code.

* Polish code style.

* Polish code.

* Change loss calculation formula and ignore_index dtype.

* Polish TestCase.

* fix PLR1722

* fix issue

* fix error

* remove api `class ParallelExecutor`

* remove other references

[CodeStyle][PLC3002][PLE1205] simplify lambda and add missing placeholder to logger template (#52133)