This PR enhances error messages of several API/OPs:

ParallelExecutor (python && C++)
Executor (python && C++)
StaticRNN (python)
IfElse (python)
cond (python)
split_lod_tensor (python && C++)

Those ops include，scale， sum， sums，unique_with_counts，unique，
wherre， add error message and test case

Add the error raise for those cases
aassign isfinite linspace ones_like zeros_like zeros ones

* fix bce_loss,test=develop

* error enhance,test=develop

* update,test=develop

* update type, test=develop

* replace inout_check, test=develop

Ops(relu6/selu/soft_relu/softshrink/stanh/swish/thresholded_relu/hard_shrink/hard_sigmoid/hard_swish/hsigmoid/maxout) error message enhancement (#23718)

* op save/load_combine error msg polish, test=develop

* fix detail error, test=develop

* API(argsort, argmax, argmin, cast, diag) error message enhancement, test=develop

* Add three passes and api reference of paddle_pass_builder.h

* Spport transform two independed function in dygraph_to_static_output test=develop

* fix unittest error test=develop

OP(retinanet_detection_output, retinanet_target_assign, sigmoid_focal_loss, deformable_roi_pooling) error message enhancement. test=develop (#23726)

* Update for QAT INT8 MKL-DNN document, added info on VNNI in Windows, benchmark results added and updated

* refine act conv2d pool2d fc, trt converter log
test=develop

* fix comments
test=develop

* fix add dense table
test=develop

* fix
test=develop

* fix
test=develop

* add save with prefix
* test=develop

* add cross_entropy_loss,test=develop
* fix some commnet,test=develop

* test=develop modify some op for dyg rcnn

* add bce_loss

* fix mistake

* replace paddle_enforce,test=develop

* fix,test=develop

* update,test=develop

* remove duplicate,test=develop

* update,test=develop

* update error,test=develop

* update,test=develop

* fix unittest, test=develop

* update, test=develop

* Op-requant squash

test=develop

* Add matmul to op-requant test

test=develop

* Initial FP32 DNNL MatMul Implementation

* Implement int8 DNNL MatMul

* Unify in-kernel-naming, clean UTs

* MatmuL: Introduce op caching

* Final adjustments

test=develop

* Remove dy_graph disablement

test=develop

* Change dnnl header name to new one

test=develop

* Contrain multi head check to prevent fails

test=develop

* Resolve dnnl header problems on MAC CI

* Variable namings to kernel and skip_grad_ci added

test=develop

* Prevent MAC CI from failing

* Prevent windows build from failing

test=develop

* Modify UTs to conform to the rules

* Modify MatMul aux functions namings

test=develop

* imporve error messages for conv, conv_transpose, cos_sim, group_norm

reduce the pricision of test case for matmul

The flaky windows test is hard to debug. It just has an exit code 0xc0000374 without any log so we don't know where and why. The probability of failure is about 1/50.

I spent 3 days and found it happened only when using PE + control flow + Windows. Exit code 0xc0000374 indicates heap corruption or access violation, but I found the memory is enough during debugging. There is no failed test under 500+ linux tests. I suspect the reason is multiple thread difference between Windows and Linux but I don't have time to completely debug it now. I will temporary disable the test and fix it in next days.

* err msg enhance for PRelu

* add ut
test=develop

* err msg enhance for GRUUnit

* add ut
test=develop

* err msg enhance for Embedding

* add ut
test=develop

* err msg enhance for BilinearTensorProduct
test=develop

* rebase dev
test=develop

* add ut
test=develop