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

Error description optimize for math dir

* Fix the lookup_table_v2 failed on GRU mkldnn kernel issue
test=develop

* fix according to reviews, removed x_num_col_dims
test=develop

* update gru model. change according to reviews
test=develop

* change according to reviews
test=develop

* Add details to the summary and test it, test=document_fix

* Add set +e before example, test=document_fix

* Remove test code, test=document_fix

* Optimize summary information and test it, test=document_fix

* Remove test code, test=document_fix

* add double grad for tile, test=develop

* add double grad for expand_v2 op, test=develop

* add double grad for expand, test=develop

[UT] fix run type of ut test cases of test_train_recognize_digits and test_api_impl, test=develop (#27218)

* - introducing oneDNN 1.6

test=develop

* - Removed redundant code

test=develop

 fix the CudaPinMemory bug for the equal op and add the test case for the equal op

update error info for selected_rows_functor

add lars to fleet meta optimizer

* set default value to strategy in distributed_optimizer test=develop

optimize the error message for math dir

* fix frobenius_norm error, rm p=0 2-axis support. test=develop

* fix summary rnn

* fix kl_div bug when input shape is [1] and reduction is batchmean

* polish one line error message in tensor.cc

* polish error messages in tensor.cc,tensor.h tensor_impl.h

* polish error messages in tensor.cc tensor.h tensor_impl.h

* polish error messages in tensor.cc,tensor.h tensor_impl.h

* polish error messages in tensor.cc tensor.h tensor_impl.h tensor_test.cc

* polish error messages in tensor.cc tensor.h tensor_impl.h

* enhance collect_op for dygraph, test=develop

* enhance detection ops with lod, test=develop

* support none bbox left in generate_proposals, test=develop

* unfiy MultiLevelRoisNum, test=develop

* update core.ops, test=develop

* add op register for new input & output, test=develop

* add timeout unittests retry

* modifed parameter use

* add correlation api to contrib

Fix problem that target name already exists when there isn't model data cache, test=develop (#27142)

fix the error message for the unpooling.cc

* fix typo for interp_v2,test=develop

* align with torch, test=develop

* add area mode, test=develop

* fix bug, test=develop

* format notes, test=develop

* update for converage, test=develop

* fix bilinear, test=develop

* fix bicubic, test=develop

* fix typo, test=develop

* fix coverage, test=develop

* fix helper.input_dtype, test=develop

* polish notes, test=develop

* polish notes, test=develop

* polish notes, test=develop

* Restore file changes caused by pre-commit and test it, test=document_fix

* Change argument of checkout, test=document_fix

* Remove test code, test=document_fix