- 12 7月, 2020 1 次提交
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由 Bai Yifan 提交于
* add user defined func test=develop * update test=develop * update test=develop * fix name conflicts test=develop * add unittest test=develop * change 2018 to 2020 test=develop * add comment test=develop * add comment for function test=develop * fix details test=develop * fix details test=develop Co-authored-by: NLiufang Sang <slf12thuss@163.com>
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- 01 7月, 2020 1 次提交
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由 lidanqing 提交于
test=release/1.8, test=document_fix
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- 03 6月, 2020 1 次提交
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由 cc 提交于
* Update sigmoid output from Y to out, test=develop (#24765) * Collecting concat output threshold, test=develop (#24742) * Add output threshold for ops that have several output activations, test=develop (#24726) * [Fix bug] Init scale node in OutScaleForTrainingPass and enable test_quantization_scale_pass UT (#24393) * Init scale node in OutScaleForTrainingPass, test=develop * Enable test_quantization_scale, test=develop
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- 30 4月, 2020 1 次提交
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由 lidanqing 提交于
* update local data preprocess doc * update for 1.8 QAT * update benchmark data Co-authored-by: NWojciech Uss <wojciech.uss@intel.com> test=release/1.8 test=document_fix
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- 25 4月, 2020 1 次提交
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由 arlesniak 提交于
test=release/2.0
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- 24 4月, 2020 1 次提交
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由 Wojciech Uss 提交于
* QAT: support range-based quantization and scales from attribute * added support for channelwise test=release/2.0
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- 19 4月, 2020 1 次提交
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由 cc 提交于
Weight quantization support channel_wise_abs_max method to achieve higher accuracy (#23629) (#23937) * Weight quantization support channel_wise_abs_max method to achieve higher accuracy
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- 13 4月, 2020 1 次提交
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由 joanna.wozna.intel 提交于
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- 11 4月, 2020 1 次提交
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由 Wojciech Uss 提交于
* Update for QAT INT8 MKL-DNN document, added info on VNNI in Windows, benchmark results added and updated
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- 10 4月, 2020 1 次提交
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由 Wojciech Uss 提交于
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- 07 4月, 2020 2 次提交
- 03 4月, 2020 3 次提交
- 02 4月, 2020 1 次提交
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由 Wojciech Uss 提交于
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- 29 3月, 2020 1 次提交
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由 Wojciech Uss 提交于
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- 28 3月, 2020 2 次提交
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由 lidanqing 提交于
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由 Wojciech Uss 提交于
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- 26 3月, 2020 1 次提交
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由 cc 提交于
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- 24 3月, 2020 1 次提交
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由 cc 提交于
* Post_training_quantizaion supports min_max methon
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- 11 3月, 2020 1 次提交
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由 lidanqing 提交于
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- 05 3月, 2020 1 次提交
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由 cc 提交于
* Added an option to use external FP32 model in QAT comparison test
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- 04 3月, 2020 1 次提交
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由 Sylwester Fraczek 提交于
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- 23 2月, 2020 1 次提交
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由 tianshuo78520a 提交于
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- 20 2月, 2020 1 次提交
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由 Wojciech Uss 提交于
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- 19 2月, 2020 1 次提交
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由 bingyanghuang 提交于
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- 18 2月, 2020 1 次提交
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由 Wojciech Uss 提交于
* Doc update with Ernie QAT INT8 benchmarking test=develop * fixes after review test=develop * remove ernie part, test=develop test=document_fix * Fix model name for qatv2 test=develop test=document_fix * Add Ernie data test=develop test=document_fix * update ERNIE benchmark with baidu QA results, test=develop test=document_fix Co-authored-by: Nbingyanghuang <33643817+bingyanghuang@users.noreply.github.com> Co-authored-by: NMichał Gallus <sand3r@interia.eu>
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- 12 2月, 2020 1 次提交
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由 Wojciech Uss 提交于
* a test for Ernie QAT INT8 accuracy check test=develop * Remove NLP comparison test to split PRs test=develop * Fix typo and tabs, delete commented lines test=develop * re-combine the 2 PRs, test=develop Co-authored-by: NMichał Gallus <sand3r@interia.eu> Co-authored-by: Nbingyanghuang <33643817+bingyanghuang@users.noreply.github.com>
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- 10 2月, 2020 1 次提交
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由 cc 提交于
* post_training_quantization support set bits, test=develop * up, test=develop
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- 07 2月, 2020 1 次提交
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由 cc 提交于
* support weight quantization in post_training_quanzitaion, test=develop * add test for weight quantization, test=develop
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- 25 1月, 2020 1 次提交
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由 joanna.wozna.intel 提交于
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- 16 1月, 2020 1 次提交
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由 juncaipeng 提交于
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- 15 1月, 2020 2 次提交
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由 juncaipeng 提交于
* add mul and matmul quantization, test=develop * add test for matmul, test=develop
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由 Bai Yifan 提交于
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- 24 12月, 2019 1 次提交
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由 lidanqing 提交于
test=develop
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- 19 12月, 2019 1 次提交
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由 juncaipeng 提交于
* fix post training quantization bug of memory constrained, support the input be different, test=develop
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- 12 12月, 2019 1 次提交
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由 juncaipeng 提交于
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- 11 12月, 2019 1 次提交
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由 juncaipeng 提交于
* fix ci bug for deleting data files, test=develop * update, test=develop
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- 09 12月, 2019 1 次提交
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由 lidanqing 提交于
* update benchmark for int8v2, QAT1, QAT2 accuracy and performance test=document_fix * change according to reviews test=develop test=document_fix * improve some descriptions and some models test=develop test=document_fix * update models benchmark data test=develop test=document_fix * update int8v2 and qat2 performance test=develop test=document_fix
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