* dygraph sharding

* update unitest hybrid_parallel_communicate_group

* add get and set for Grad_scaler

* refine some API name and comments

* refine API name and comments

* refine some comments

* added matmul_v2 bf16/fp32 FWD kernel

added matmul_v2 bf16/fp32 FWD kernel

* added formatting

* removed some tests due to timeout in CI

* refactored tests

* merged tests classes into one file

* minor change

* removed test guard for CUDA

* remove skipIf

* changes after review

* formated one file

* minor change

* added skipping UT in CUDA place

* refine temp_scope_vec logic

* polish partial_program

* fix fake var

* add stop_gradient in spec

* fix fake_var

* fix unittest

* support set_device for NPU.

* minor update doc and add more unit test.

* add returns for beamsearchdecoder doc, test=document_fix

* remove heterbox

* remove heterbox

* [ROCM] fix RNN miopen as weight need to permuted, test=develop

* [ROCM] fix data share when is_test, test=develop

* update, test=develop

* fix trt flatten converter when batch_size > 1

* change ut to same dynamic shape

* in NPU environment, use CPUPlace for missing operators.

* in NPU environment, use CPUPlace for missing operators.

* fix TensorCopy bug and add unit test.

* fix code style.

* add more unit tests.

* - fix to #33282

* - Increased threshold for elementwise_mul_bf16 grad

* -disabled faulty UT

* - fix to approval

* support type hint

* fix unittest

* TestSaveLoadLargeParameters use cpu place.

* edit unittest

As the title

* base changes for split op

* 90% of split functionality added

* full fp32 functionality

* added bf16 test

* added submemory caching

* added bf test to static mode whitelist

* minor change

* enabled split op for inference

* minor fix

* minor fix

* elastic unitest

* rename demo

* new api diagonal, test=develop

* add new api diagonal, test=develop

* new api diagonal, test=develop

* add new api paddle.diagonal, test=develop

* use framework::stride replace ComputeDimStride

* replace cudaMalloc/cudaMemcpy by TensorFormVector in cudaKernel and cudaGradKernel

* perfect funciton: when attr(offset) is exceed attr(axis1) or attr(axis2), set the diagonal dim is 0

* fix RP-Mac-CI bug: replace framework::stride() by ComputDimStride.

* perfect code-block

* perfect code of python API diagonal

* api supports dtype of float16 and bool

* api supports dtype of float16 and bool

* modify unittest code

* modify unittest code

* perfect dtype describe

* perfect code-block

* using argparse to handle selections

* 2 TODOs

* 先不更改pipeline配置，这里强制改成GPU版本

* sorted the all_names

* exec gpu sample codes tests incrementally

* get all apis from the pr.spec file

* condition with WITH_GPU

WITH_GPU == ON

save

* delete the useless codes

* delete the useless codes.

test=document_fix

* echo the diff result

test=document_fix

* dont reuse the variables

* rename fun to _func not work. put it into the skiplist

https://github.com/PaddlePaddle/Paddle/commit/038ffc795025170e8cda74bcd473b46301b9a1c0
test=document_fix

* skip it in check api approvals

test=document_fix

save

* skip the private _variables

* print signatures wrong. now rename it to _func

test=document_fix

* transform complex scale to tensor

* add test_case for complex scalar

* modify import paddle

* dygraph post training quantization

* refine the ptq config

* refine ptq quantizer

* Add oneDNN AXPY handler.

* Add fallback for small tensors.

* Fix ifdefs

* Remove unnecessary namespace prefixes and add missing headers.

* Guard handler_axpy with proper ifdefs.

* Compilation of this function is possible only when Paddle is not build
with CUDA nor HIP.

* Move AXPY handler code to separate files.

* Use oneDNN AXPY handler in SGD op.

* Use axpy handler only when Paddle is built with oneDNN.

* Add test for SUM BF16 with big rows.

* Fix SFINAE rules for elementwise_add_to.

* Add test case for SGD with big rows.

* update

* update
Co-authored-by: NAdam Osewski <adam.osewski@intel.com>