Paddle

Author	SHA1	Message	Date
Bai Yifan	5050e761b8	Support user-defined activation/weight quantize and preprocess. (#28570 ) * support user-defined quant and preprocess	6 years ago
guofei	6bbb6e7f45	Implement the function of OutScaleForTraining/OutScaleForInference in dygraph (#26601 ) * Implement the function of OueScaleForTraining/OutScaleForInference in dygraph test=develop	6 years ago
huangxu96	02606d45ef	Quant op dev (#25932 ) * 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.	6 years ago
Zhen Wang	ece74c4cd4	Update the _get_fake_quant_type definition in imperative QAT. (#27222 )	6 years ago
Zhen Wang	548cdbc544	Quantization-aware training for dygraph (#24634 ) * Add the imperative quantization aware training. * This is the python part of Imperative QAT. test=develop	6 years ago