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

* 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)

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

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

* test=develop modify some op for dyg rcnn

* refine example code in en doc, test=develop, test=document_fix

* update shape to make it meaningful, test=develop, test=document_fix

error message enhancement for py_func op. 

* solve the conflict of ops with the same name. test=develop

API/OP (ConditionalBlock) error message enhancement (#23480)

* Api (fluid.data/layers.data) error message enhancement. test=develop

* API (Switch) error message enhancement. 

* fix bug: dtype of out in api isfinite is set incorrectly. The dtype should be bool. 

* rename op paddle.fluid.matmul to paddle.matmul
* modify original API fluid.layers.matmul,and add new API paddle.matmul

* add support for value tensor support of fill_constant Op

* Add the matmul, elementwise_euqal, elementwise_sum ops to API2.0
* Fix the import meesage in common_ops_import
* Update the test cast for mm

This reverts commit abe3e690.
test=develop

* solve the conflict of ops with the same name. test=develop

* add functional conv

* add test and doc for function convs, test=develop

* update ConvTransposeOp's InferShape and error message, test=develop

* Add unittest for transformer prediction in dygraph_to_static.

* fix bug in fill_constant api. 

* Make transpose support size 0. test=develop