* refactor custom op kernel func and utils

* add output sync

* adapte tensor* in utils

* fix windows symbol error

* add multinomial probability distribution
* fix categorical sample bug when logits less than zero
* fix categorical sample can't pass hypothesis test and entropy shape error bug

* upgrade _get_all_register_op_kernels

* add ut

* support xpu/npu

* fix device id

* enhance TransToFluidPlace

* fix compile

* [autograd] static Jacobian pass tests.

* [autograd] apply CR suggested changes.

* [autograd] more tests.

* [autograd] add CPUPlace in tests.

* [autograd] bug fixes.

* [autograd] reformatted.

* [autograd] adding Hessian, in progress.

* [autograd] Hessian passes. A double grad bug fixed.

* [autograd] fix renaming conflict in double backward pass.

* [autograd] polish test.s

* fix a bug when using brackets

* debug for ci

* [autograd] fixing Hessian test.

* polish format.
Co-authored-by: Nlevi131 <83750468+levi131@users.noreply.github.com>
Co-authored-by: Nlevi131 <limaolin01@baidu.com>

* fix kunlun2 softmax unitest bug
*test=kunlun

* minor

* add fuse_relu_depthwise_conv_pass unittest

* fix atol and rtol

* fix according to review

* Update test_dist_fuse_relu_depthwise_conv_pass.py

* [PSLIB] Add Metrics Module, Support User-defined Add Metric

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI Coverage

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI

* [PSLIB] Modify According to CI Coverage

* [PSLIB] Modify According to CI Coverage

* [PSLIB] Modify According to CI Coverage

* modify role_maker

* update CMakeLists.txt

* implement AllocateFrom

* fix PR-CI-Coverage timeout in 120s
Co-authored-by: Nzkh2016 <zhangkaihuo@baidu.com>

* add the test case for the UVA

* add the context load for the uva

* Add graph_sample kernel

* Add graph_sample commit

* add new commit for graph_sample

* add unsigned long long int

* delete some remarks

* add cpu version

* add cuda eids

* add cpu eids

* delete _uva

* optimize speed: emplace_back, last_layer

* add to_uva_tensor

* add cpu return_eids choice

* add gpu return_eids choice

* add cpu reindex_nodes

* add gpu reindex_nodes

* rename op and add OMP for cpu

* add incubate api

* fix the compile problem for the PADDLE_ENFORE and different device

* fix the rcom and windows compile problem

* add unittest for graph_sample_neighbors

* fix cpu unittest and unique problem

* fix uva unittest, fix cuda unique problem

* fix the windows compile problem

* fix the windows rand_r compile problem

* add correct unittest, add src_eids dispensable

* delete black

* combine uva unittest

* mv Sample_index to Sample_Index; check input shape; fix random sample func

* delete memset & cudaMemset

* fix according to PR comments

* fix rocm ci

* modify function names according to the specification

* fix windows_openblas ci

* refine annotations, fix windows unittest, add default value for uva device_id, fix bug for input nodes with empty neighbors

* fix rocm ci

* rename graph_sample_neighbors as graph_khop_sampler, add incubate api doc

* add data type

* fix conflict
Co-authored-by: Nwawltor <fangzeyang0904@hotmail.com>

* Support allocate_from in Tensor and allocate_data in Context

* fix #ifdef CUDA

* fix cycle depends

* fix test_xxx_dev_api failed

* fix windows compiling error

* fix unittest

* modify into PImpl

* fix selected rows

* add TODO comment

* refine interface according reviewer

* [Demo] custom kernel based on pten kernel

* merge and npu custom work well

* del comments

* delete other code

* fix CUDAContext

* fix not found small_vector.h

* support NPU

* fix NPUContext

* fix DeviceContext support

* add UT

* fix call

* add UT

* fix

* fix for comments and ut

* add MACRO control

* fix multi input output

* support env CUSTOM_DEVICE_ROOT

* deal with special cases

* fix for Windows

* try coverage with test_custom_kernel_dot.py

* fix test_custom_kernel_dot

* fix test_custom_kernel_dot

* fix merge

* fix merge

* fix CI

* update

* merge and fix

* remove WITH_CUSTOM_KERNEL

* fix merge

* merge and fix

* fix ut

* fix ut for mac

* add more UT

* add more UT

* fix

* shuffle channel pass

* add ut

* timeout fix

* makefile fix

* update planner

* update unitest

* update dist matmul

* update auto converter

* optimize kunlun/xpu softmax_with_cross_entropy add add unitest
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* minor
*test=kunlun

* update dist param grad for pass

* update unitest

* update unitests

* fix conflict

* Paddle-Inference:fix_concat_slice

* Paddle-Inference:fix_concat_slice

* Paddle-Inference:fix_concat_slice

* Paddle-Inference:fix_concat_slice

* [Paddle-Inference]: fix concat slice

* [Paddle-Inference]: fix concat slice

* [Paddle-Inference]: fix concat slice

Support the cases that the indices shape size is larger than the arr shape size

* add master weight for opt state_dict

* check empty of master weight

* strict gpu test

* refine unittest

* add fuse_relu_depthwise_conv_pass unittest

* fix atol and rtol

* fix according to review

* add FuseBatchNormAddActPass and unittest

* Update test_dist_fuse_bn_add_act_pass.py

* solve conflict

* Added selected_rows and rw_lock to pten

* Renamed the unit test target to fix CI

* Removed Class SelectedRows in Fluid, changed include/cmake relationship, use pten::SelectedRows in Fluid

* Remove rw_lock.h,rw_lock_test.cc in fluid

* Use pten::RWLock and pten::AutoRDLock, fix CI

* Use pten::SelectedRows

* Use pten::SelectedRows

* Fix to pass NPU CI

* Selected_Rows inherits from TensorBase

* Use pten::SelectedRows, to pass NPU CI

* To fix NPU CI

* To fix NPU CI again

* Use paddle/pten/core/enforce and polish code

* Support imperative selected_rows_to_lod_tensor

* Polish code

* [MLU]Add conv2d op

* [MLU]fix comment

* [MLU]adapt NCHW of conv2d op

* Optimize layer_norm fwd when cols is 1024.

* add sigmoid cross entropy with logits to kl2. test=kunlun

* add sigmoid cross entropy with logits to kl2. test=kunlun

* follow comments. test=kunlun

* add fuse_relu_depthwise_conv_pass unittest

* fix atol and rtol

* fix according to review

* Add fuse_bn_act_pass unittest

* rm others

* add fuse_bn_act_pass

* [inference] update convert reduce op&ut,test=develop

* update

* update

* update

* add int32 support

* add int32 support

* add comments

* trt < 7.0 do not support int32

* test=develop

* update

* test=develop

* [MLU]add mlu kernel for fill_constant op

* delete device_context DEPS

* [MLU]add mlu kernel for concat and split op

* delete device_context DEPS

* support param groups in grad_clip

* update

* modify for review