12 Commits (638402274ab82299c504bd0599e391bfecd6e573)

Author	SHA1	Message	Date
guofei	638402274a	Integrate ImperativeOutScale into ImperativeQuantAware. (#27956) ... * Optimiz the unittest test_imperative_out_scale test=develop	5 years ago
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.	5 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 '''	5 years ago
Bai Yifan	5050e761b8	Support user-defined activation/weight quantize and preprocess. (#28570) ... * support user-defined quant and preprocess	5 years ago
guofei	6bbb6e7f45	Implement the function of OutScaleForTraining/OutScaleForInference in dygraph (#26601) ... * Implement the function of OueScaleForTraining/OutScaleForInference in dygraph test=develop	5 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.	5 years ago
Zhen Wang	d28162b97f	Remove save_quantized_model in ImperativeQuantAware. (#27240)	5 years ago
Zhen Wang	ece74c4cd4	Update the _get_fake_quant_type definition in imperative QAT. (#27222)	5 years ago
qingqing01	f7fb4c2212	Move hapi to python/paddle root dir. (#26442) ... * Move hapi form paddle/incubate to paddle * Remove vision/datasets/utils.py and clean code * Add sample code for conll05 * Print pull path when saving model * Fix sample code after paramter_list of SGD is changed to parameters * Fix bug in wmt16 datase	5 years ago
Aurelius84	f05613683f	[Dy2stat] Support InputSpec and Return callable class instance in @declarative (#25960) ... * add InputSpec * add unittest for tensorSpec and SimpleNet	5 years ago
Chen Weihang	23d1228c4d	remove ProgramTranslator.save_inference_model (#25740) ... * remove ProgramTranslator.save_inference_model * adapt save_quantized_model * revert buffer check implemention * remove useless import function	5 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	5 years ago