add new tensor: max,min,t,eye,log1p; test=develop

Those ops add the kernel message enhancement, as follows
paddle.fluid.layers.elementwise_add	
paddle.fluid.layers.elementwise_div
paddle.fluid.layers.elementwise_floordiv
paddle.fluid.layers.elementwise_max	
paddle.fluid.layers.elementwise_min	
paddle.fluid.layers.elementwise_mod	
paddle.fluid.layers.elementwise_mul	
paddle.fluid.layers.elementwise_pow	
paddle.fluid.layers.elementwise_sub

* Fix elementwise compile error, test=develop

* split inplace_abn & batch_norm InferShape. test=develop

* fix type. test=develop

* fix message. test=develop

* fix ENFORCE. test=develop
Co-authored-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* api compild program error polish, test=develop

* fix coverage problem, test=develop

* fix details & add unittests, test=develop

* add test for coverage, test=develop

* Add the support of bool list for assign value, test=develop
* Fix the assign op test case for bool dtype, test=develop

* Add new norm api, support frobenius norm and p-order vector norm. test==develop
* combine test files, add more attr checks. test=develop

* add cuda kernel for seed, test=develop

* polish error message, test=develop

* error message enhance for clip_by_norm. test=develop

* fix clip_by_norm. test=develop

* fix clip error message. test=develop

* enhance error msg. test=develop

* print invalid argment

* update comment, test=develop

* fix enforce not meet specification

* fix enforce not meet specification, test=develop

* update NotFound -> OP_INOUT_CHECK: grid_sampler, kldiv_loss, spectral_norm, temporal_shift. test=develop

1. update error info of the ops (abs, acos, asin, atan, ceil, cos, exp, floor, log, pow, reciprocal, round, rsqrt, sin, sqrt, square, tanh)
2. add the unittests of the above refered ops (test error info)

API(has_inf, has_nan, cumsum, fsp_matrix, increment) error message enhancement, test=develop (#23769)

* API(argsort, argmax, argmin, cast, diag) add error message，and the same time add the test cases for those apis.

* add elementwise pool2d, prelu, shuffle channel
test=develop

* add scale and refine concat eltwise conveter
test=develop

* refine elementwise converter
test=develop

* refine ut test and enforce error.
test=develop

* modify const cast
test=develop

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

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

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

* fix comments
test=develop

* add save with prefix
* 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