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  • 4-bit-qat
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Created with Raphaël 2.2.011Jun103230May29282722212019161514652130Apr18161411109843131Mar2928272524232221201714121110765432128Feb272625232017151413121110631Jan2724232221161513109826Dec231916151411965432130Nov25242221209876542131Oct292726232218131143130Sep27212016429Aug279731Jul2522211917161513119854130Jun29262522211915141310729May221716151413107129Apr282524AMC: added TD3, changed rewards, refactoringSummaryGraph: record the number of input/output channelsCheckpoint: change format of printed keys tableFix a bunch of broken links[Breaking] PTQ: Removed special handling of clipping overridesUpdate requirements.txtAdd sklearn to the requirementsADC: fix channel selection in ranked_structures_pruner.pyADC: delete LayerDescADC: move rl_libs choice to the command lineADC: add missign random-policy filesMerge branch 'master' into new_amcMNIST supportMerge branch 'master' into new_amcADC: add some documentationexpose the punish_agent protocolAdded support from the MNIST datasetUpdate README (#277)ADC: added --amc-cfgADC: refactor utils and environmentADC: refactor rewards codeADC: move presets directory and adc_random_env.pyADC: refactor rl_lib directory structureAdd missing **kwargs in on_epoch_begin of knowledge distill policyMerge branch 'master' into new_amcUpdate dataset_summaries.pymobilenet-ddpg-reconstruction___2019.05.27-000814Bug fix for shared module (#268)Added support for setting the PRNG seed (#269)Log pip freeze (#266)ncf.py - fix wrong nb_users/itemsStore qe_stats_file in output directory (#262)NCF scripts with Distiller integrationFix type hint usage which breaks on Python 3.5Fixed KeyError treatment in Quantizer._pre_process_container (#263)Thinning: added support for group-wise convolutionsChanges in activation stats collectorsdata_loaders.py: fix crash in case of fixed_subset=TrueBugfix in bias handling in quant-aware training (fixes issue #248)Bug fix in n_stds clipping calculation (fix issue #249)