* static graph autogen code for check_finite_and_unscale_ op

* bug fixed

* add master gradients on static graph

* add unit test for bf16 master grad static graph

* use float16 as v100 test dtype

* only skip GPU which do not support bf16

* use linear layer to test master grad

* 1.push master grad creation before all optimizer ops; 2.remove useless unittest; 3.use a function to create master grad states

* fix embedding model weight type mismatch error

* Update fp16_utils.py

---------
Co-authored-by: NZhang Ting <zhangting_2017@163.com>

[AMP] Allow to enable multi_precision through paddle.static.amp.decorate and add documents for some apis. (#53012)

* Add document for some apis. test=docs_preview

* Allow to set master_weight in paddle.static.amp.decorate.

* Polish codes and add unittest.

* Refine docs.

* Remove the repetitive function.

* support promote dtype for static amp training

* unify o1 and o2

* update for unittest

* fix op_role

* add use_promote arg

* fix doc

* add promote unittest

* polish unittests

* fix controflow and test

* Implement a common AmpTestBase.

* Support overload of decorate.

* Change the ignore list of flake and fix an error.

* Unify the static amp codes of fp16 and bf16.

* Polish apis and add unittest.

* Add operator stats collecting tools for program.

* Add the check of number of bloat16 operators in unittest.

* Add warning for operator not supported for amp.

* Add testing of BF16 O1 and O2.

* fix dtype cast in amp.

* add test case and update docs.

* remove set_prim.

* rem is_compiled_with_npu

* rem nup related code

* make lint happy

* rem test

* remove some tests

* Update grad_scaler.py

* fix an error

* 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>

* [Eager] polish some apis logic

* polish api logic

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* add alias for fluid.contrib.mixed_precision