Paddle

Commit Graph

Author	SHA1	Message	Date
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	d28162b97f	Remove save_quantized_model in ImperativeQuantAware. (#27240 )	6 years ago
Zhen Wang	ece74c4cd4	Update the _get_fake_quant_type definition in imperative QAT. (#27222 )	6 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	6 years ago
Aurelius84	f05613683f	[Dy2stat] Support InputSpec and Return callable class instance in @declarative (#25960 ) * add InputSpec * add unittest for tensorSpec and SimpleNet	6 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	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

7 Commits (72efd830b9dfdabe36ecd135a8ea9f46236bcbca)