* fix QuantizeLinear kernel and pass in QAT (#44784)

* Add Reduce Max in Quant (#44825)
Co-authored-by: NChang Xu <molixu7@gmail.com>

* update quantization clip and round

* fix quantization clip and round Attribute

* fix typo

* Add progress bar and speed up Quantization Pass

* fix typo

* add adaround post-quant method

* add some op for full_quantization

* fix a quantization bug

* quant support matmul_v2

* fix format

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

* support ernie trt-int8 for inference

* fix reshape

post quantize support insert fake_quantize_dequantize node before the OPs that will be used in VIS's faceid models (#30659)

test=develop

* Collect weight threshold of lstm, test=develop

* upgrade comment string to raw string

* fix string in

* fix string with ' '

* revert update on comments

* upgrade only necessary

* fix sample code checker

* fix comments with '''

* Add test attribute in channelwise_quant op, test=develop

* Conv2d_transpose and mul support channnelwise quantization, test=develop
* Skip collecting out threshold for output tensor of which the type is not fp32 or fp64, test=develop
* Fix error in test_user_defined_quantization, test=develop
* Add depthwise_conv_bn_fuse, test=develop
* Add conv_transpose_bn_fuse_pass for post_training_quant, test=develop

* Remove the output for moving_average_abs_max_scale op, test=develop

* saving inference model for user defined quantization model

* saving inference model for user defined quantization model

* fixed ci coverage

* Save output threshold by argname_index, test=develop

* add user defined func test=develop

* update test=develop

* update test=develop

* fix name conflicts test=develop

* add unittest test=develop

* change 2018 to 2020 test=develop

* add comment test=develop

* add comment for function test=develop

* fix details test=develop

* fix details test=develop