* fix op print error info problem. test=develop

* fix build error

* fix format

* fix error msg info

* fix format

and optimize the c++ implmentation of empty op as PR#26659 reviews,
and add bool for shape op.

paddle/fluid/operators/distributed_ops OP报错信息优化

* Fix install pr requirements.txt

* test=document_fix

enhance reduce op which can reduce tensor with arbitrary rank 

* fix floordiv

* add adaptivelsgd

* Todo fix the code to avoid the conflict.

Error description optimize for the math dir

fix judge cache file of inference api more accurate

test=develop

* fix error message

* polish framework error message part 7

* fix typo

* polish by reviewes comment

update the error message check for the some ops

add the error message check for the some operator

* optimize slice TRT plugin

This patch removes unnecessary barrier for data transfer of needed offset,
so data transfer can be overlap with GPU kernel execution.

This patch also fixes incorrect name of slice plugin. That is, replaces
"layernorm" with "slice"

test=develop

* add serialize/deserialize to slice plugin

* add static shape slice trt plugin

* fix slice trt op convertor dynamic shape bug

* fix format by clang-format

* fix pylint format error

* fix problems commented by peiyang
Co-authored-by: NRyan Jeng <rjeng@nvidia.com>

* polish framework error msg part 6

* polish lossed item

* fix failed unittest

* polish by reviewer comments

* optimize errror report

* add test case for pad op converter

* fix some spelling mistake commented by peiyang

* replace sequence length attr to input

* fix trt_dynamic_shape_ernie_deserialize_test

* support when opt cache dir does not exist

* improve err report, test=develop

Enhance the error messages for  files in operators/math

Update amp_check_finite_and_scale_op and add an updating_loss_scaling op for static graph amp training. (#26240)

* update amp_check_finite_and_scale_op for static_amp.

* use amp_check_finite_and_scale in static graph amp.

* update grads to zero when grads own infinite values(as for amp_checkout_finite_and_scale op).

* add update_loss_scaling op in cpp.

* add update_loss_scaling_op unit test.

* update the doc of the check_finite_and_unscale op

* Update the process of gradients updating skipping if the gradients have infinite values.

* update the way to zero grads.

* update test_update_loss_scaling_op.py

* add log info when find infinite grads.

* add the unit test for UpdateLossScaling Layer.

* rm auto from localsgd

* Add int8 GRU kernel with UTs

* Lint fixes

* More lint fixes