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  • 4-bit-qat
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Created with Raphaël 2.2.027Mar2524232221201714121110765432128Feb272625232017151413121110631Jan2724232221161513109826Dec231916151411965432130Nov25242221209876542131Oct292726232218131143130Sep27212016429Aug279731Jul2522211917161513119854130Jun29262522211915141310729May221716151413107129Apr282524Raise error if scheduler dict contains invalid class arguments (#204)Fix argument typo in a couple of YAMLs (fix #191)utils.py - fix issue #203Splicing Pruner: simplify the splicing code Fix ResNet50 Early Exitmse from 8bit ref(histogram)pass parameters from yaml fileResNet50 AGP: 84.6% element-wise sparsity (75.7% Top1)Resnet50 AGP: 80% element-wise sparsity with 76.0% Top1fix small bug in loggingadd pact to gste and log different statsAdded BernoulliFilterPruner_AGPGated STE quantizerReplace exit()s with ValueError()sGroup Lasso regularization: fix thresholdingtruncated_svd.ipynb: replace numpy with pytorchFix logging message for structured pruning (#194)Merge branch 'master' of https://github.com/NervanaSystems/distillerAdd two stochastic prunersFix row-pruningRemove non-utf8 characters from utils.py (#193)Fix typo in tflogger path (#186)Integrate Cadene pretrained PyTorch models [fixes #142] (#184)logger: remove superfluous importsGreedy pruning: change the pruning order of resnet layersUtils: added model_params_statscompress_classifier.py: sort best scores by count of NNZ weightsNetwork Surgery schedule: fix documentationAMC: remove superflous importslanguage model example: fix code formattingFix issue #155AMC - added arguments: amc-ft-frequency, amc-reward-frequencycompress_classifier.py: Fix best_epoch logiccompress_classifier.py: fix PNG and ONNX exports broken in new releaseMerge branch 'master' of https://github.com/NervanaSystems/distillerSummaryGraph - warn user when the model uses dynamic input shapesadd arbitrary value for 8 bit gaussian clipping to avoid crushing4-bit-qat4-bit-qatundo decay disable for inputsjupyter/alexnet_insights.ipynb - fix syntax error (#180)disable decay on the input