7 Commits (1de32f823d634154daa818697f945b294c052d3d)

Author	SHA1	Message	Date
huangxu96	40f5453725	Quant nn2.0 (#28764) ... * Impelement 2.0 API version Conv2d and Linear layer quantization in imperative mode. * use cudnn softmax in static Lenet * Modified ChannelwiseQAT Unittest for 2.0 API. * For CI python coverage.	6 years ago
Leo Chen	3815d7aa40	Upgrade string literals to raw string (#28989) ... * 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 '''	6 years ago
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