* simplify layer_norm_op.cc

* support auto generate for op layer_norm

* update unittest for composite_layer_norm

* remove layer_norm_op.cc from scripts

* replace layer_norm_op with generated_op

* add get_expected_kernel for layer_norm

* update cmake kernel register function for layer_norm_mkldnn_op

* support fp16 for maxout op

* format code

* change api

* add test for static float16

* format code

* formatting code

* atol alignment

* experiment—1

* experiment-2

* experiment-3

* format code

* [AMP OP&Test] Add check_dtype for some API (part 2)

* fix ci

* fix ci

* Revert "remove ASCEND* keyword (#53046)"

This reverts commit 7fa415ca.

* Delete ascend_trigger_op.cc

* revert-53046-remove_ASCEND_keyword

* update

* update

* add flash randomness control

* fix VLOG undefied

* remove ASCEND* keyword

* update docstring

* bug fixed

* bug fixed

* [AMP OP&Test] Add check_dtype for some API (part 1)

* fix

* Add prelu, clip_by_norm, multi_dot tests

* Fix code

* Fix code

* untracked files

* bce_loss_fp16

* remove unused files

* back max_rel_erro still big

* simplify code

* upd

* fix max_relative_error

* restart ci

* Update test_bce_loss.py

* Update test_bce_loss.py

* Update test_bce_loss.py

* Update test_bce_loss.py

* try to pass test

* restore file

* remove error value

* fix bug

---------
Co-authored-by: NZhang Ting <Douyaer2020@qq.com>

* support uint16 python op in d2s

* convert uint16 -> bfloat16 in docstring

* Add GaussianNLLLoss API.

* Change `rotl` `atol`.Check `var` in dynamic graph

* remove assertTrue

* update unittest

* update unittest for ci-covarage.add broadcast with same dim.

* Supply static err print.

* Repair note and example.

* Split unitest.

* empty commit.

* for standard commit.

* for standard commit.

* Add int dynamic graph test.

* Repair parameters name.

* Repair unitest parameters name.

* Repair unitest parameters name

* Repair unitest parameters name

* Repair unitest parameters name

* add square in code-block

* fit few notes.

* fit few notes.

* fit few notes.

* fit few notes.

* add few interpretations.

* add few interpretations.

* add few interpretations.

* fix import.

* fix space.

* empty commit for ci.

* fix bug in cross_entropy in static mode

* fix ci-coverage

* add PoissonNLLLoss API

* update unittests

* Fix poisson_nll_loss init and update data type support

* remove type comment

* Update doc string

* Fix doc string erro

* Fix doc string math equation format

* Add float16 and bfloat16 support

* autogen softmax_with_cross_entropy

* fix error in softmax_with_cross_entropy version

* add fp16 and bf16 support for instance_norm

* fix /= operator which not support bf16

* fix instance_norm_grad kernel and unittests.

* fix fp32 unittests.

* fix instance_norm_kernel and unittests.

* fix instance_norm_grad_kernel and unittest threshold.

* add fp16/bf16 for instance_norm_grad_grad op.

* add bf16 dtype check.

* fix conflicts.

* fix cpu support for fp32 op and fix type in instance_norm_grad_kernel.

* fix type in instance_norm_kernel.

* fix bf16 outputs in unittests and refine codes.

* fix dx computation.

* delete unuseful params and head including.

* add fp16/bf16 for static graph.

* fix device condiction for instance_norm op.

* fix instance_norm_grad_grad and bf16 op tests.

* fix op_test to support grad of bf16 can be compared with fp32.

* remove updates.

* add self-defined grad.

* fix flash attn

* fix another API

* rem is_compiled_with_npu

* rem nup related code

* make lint happy

* rem test

* remove some tests

* Update grad_scaler.py

* fix an error

* Add pool3d lgamma masked_select tests

* Fix 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>

* 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

* fix huber_loss

* fix

* fix ops.yaml add intermediate

* fix

* fix test