* Finished ChannelWiseQuantDequantAbsMaxOp and Passed unittests.

* Finished channel-wise quantize strategy in imperative quantization.

* Added Cuda code of ChannelWiseQuantDequantMaxAbsOP
Add Cuda code of ChannelWiseQuantDequantMaxAbsOp

* Add quant_axis for channel_wise quant.

* fixed a bug in unnitests, which will not trigger axis = 1 case and cannot meet the coverage rate requirement.

* Added some assert infomation and fixed some coding style mistakes.

* fix adam

* rmsprop support double

* fix cudnn dyload error

https://github.com/PaddlePaddle/Paddle/pull/27332

* 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

enhance reduce op which can reduce tensor with arbitrary rank 

* fix floordiv

Error description optimize for the math dir

test=develop

* fix error message

update the error message check for the some ops

add the error message check for the some operator

* replace sequence length attr to input

* 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.

* 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 double grad for tile, test=develop

* add double grad for expand_v2 op, test=develop

* add double grad for expand, test=develop

* - 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