* correct op

* test=allcase

* reduce sum op default fp32, add into amp black list

* reduce_sum default fp32 can avoid return inf when the sum value large than 65504

* change Add to AddN in sum npu op

* add AddInputNames

* change fp16 to fp32 because numpy has accuracy loss in fp16 adding

* delete check

* fix runner error

* refine ptq according comments
* reuse the module to calculate kl threshold

* add amp support for pp

* add amp untest

* fix hdfs and fleet_util for supporting save/load infer;test=develop

* enhance error message when x or y is empty in elementwise_op

* format code

* format code

1. check status of remove op grad shell scripts
2. Update paddle_build.bat to remove op grad when build windows inference lib
3. add inference demo test after build finish

* Save all scales to target ops
* Move quant layers to paddle.nn.quant

* delete useless GELU in gelu npu op

* add description

* fix format

* add check_grad in gelu unittest

* refine the old code

* support moving_average_abs_max and per_channel_abs_max

* Add moving_average_abs_max_scale op

* Convert the test program