* update bfp16 & fp16 test.

* update.

---------
Co-authored-by: NRoc <lrslj@live.com>

* update run checks of standalone executor

* remove mlu related code

* 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 layer_norm prim and cinn test

* enable cinn test

* fix merge conflict

* polish input for check_output_with_place

* fix merge conflict

* add more test case

* fix merge conflict

* polish test case

* polish op_test

* change ln_g rules

* modify scale is none case

* modify scale is none case

* add public_python_api for check prim

* modify setoutputgrad and fp64bug

* add todo & delete log

* recover

* fix some errors

* recover

* recover

* recover

* recover

* fix merge conflicts

---------
Co-authored-by: Nwangruting <wangruting@baidu.com>

* fix_prim

* fix bug

* add note

* fix logic

* fix

* add note

* fix check

* fix bug

* fix bug

* fix bug

* add debug

* fix check

* fix bug

* sync print log

* fix test case

* change default

* change test case time

* move elementwise raw

* fix

* fix

* transpose fp16 test

* transpose auto tune fp16 test

* update

* update

1. add type caster for paddle's complex type, to allow pybind to automatically cast it with python's complex type;
2. add complex64 and complex128 data type for `libpaddle.Tensor`'s element get and set(which is required to perturb an element to get the numerical derivative)
3. add support for cuda pinned place in `libpaddle.Tensor` element get and set

---
4. fix a bug in op code generation.(Creation of output folder in concurrent with parsing op yamls.)

* [AMP] Add python API for collecting operator stats.

* Fix import and polish codes.

* Add more unittest.

* Add doc for the new APIs.

* add autogen code support for spectral_norm

* bug fixed

* fix PR-CI-Static-Check fail

* adjust defalut tolerance of output and grad

* fix a bug in the grad of OpTest

* fix the type of setting defalut value in optest, both forward and
backward

* add defalut

* fix test_sum_op

* fix test_sum_op test for testing add_n

* modify the add_n op_test

* add scatter composite rule.

* add public_python_api

* add python unit16 support.

* fix code style.

* add cinn to makelist

* cinn unsupport uint16, forbidden cinn when dtype==uint16.

* 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.

* delete check_dygraph and use default atol,max_relative_error

* add test case for bicubic_interp

* add FP16 for multinomial

* fix input data

* update code

* fix FP16

* fix code

* remove sync_calc_stream and sync_comm_stream

* fix ci bug

* fix

* fix

* fix

* stride slice fp16 and bf16 unitest

* fix code style

* add self.dtype

* [Test Mv] ipu_test

* [Test Mv] cmake add py_test_modules

* [Move Test] rm py_test_modules

* rm asp

* add fp16 bfp16 test

* polish

* polish

* polish

* polish

* add type check

* 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 gloo  send_recv

* fix code_stype

* fix CI bug

* fix send_recv.cc

* add send_recv without sync_op

* fix send_recv test

* fix gather.cc

* pad3d add unittests of fp16 and bf16

* pad3d add unittests of fp16 and bf16

* fix cuda place

* fix random to uniform

* fix class name

* fix fp16 max relative error to 1.5e-3

* add dytpe register for onednn

* add pad uint16 check of common.py

* remove check_eager

* test_check_grad --> test_check_grad_normal

* add group_norm composite rule

* add test for scale_grad and bias_grad

* resolve conflicts

* remove amp in composite_rule.py

* add float16 test

* deal with NHWC format

* keep the composite rule in float16 identical as original kernel

* resolve conflicts