- 24 11月, 2020 1 次提交
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由 Leo Chen 提交于
* 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 '''
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- 18 11月, 2020 1 次提交
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由 Bai Yifan 提交于
* support user-defined quant and preprocess
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- 14 10月, 2020 1 次提交
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由 guofei 提交于
* Implement the function of OueScaleForTraining/OutScaleForInference in dygraph test=develop
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- 21 9月, 2020 1 次提交
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由 huangxu96 提交于
* 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.
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- 18 9月, 2020 1 次提交
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由 Zhen Wang 提交于
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- 10 9月, 2020 1 次提交
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由 Zhen Wang 提交于
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- 31 8月, 2020 1 次提交
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由 qingqing01 提交于
* 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
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- 27 8月, 2020 1 次提交
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由 Aurelius84 提交于
* add InputSpec * add unittest for tensorSpec and SimpleNet
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- 29 7月, 2020 1 次提交
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由 Chen Weihang 提交于
* remove ProgramTranslator.save_inference_model * adapt save_quantized_model * revert buffer check implemention * remove useless import function
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- 11 7月, 2020 1 次提交
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由 Zhen Wang 提交于
* Add the imperative quantization aware training. * This is the python part of Imperative QAT. test=develop
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