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  • 4-bit-qat
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Created with Raphaël 2.2.020Nov181716141311108765431Oct30282725232276528Sep27252423181098752129Aug2827262423222120191413129876431Jul29262423222117161087432130Jun2625242322191817141311103230May29282722212019161514652130Apr18161411109843131Mar2928272524232221201714121110765432128Feb272625232017151413121110631Jan2724232221161513109826Dec231916151411965432130Nov25242221209876542131Oct292726232218131143130Sep27212016429Aug279731Jul2522211917161513119854130Jun29262522211915141310729May221716Initial example of integration of FB's Ax libraryax_integrationax_integrationexamples/hybrid - fix READMEAdd README.md files for some pruning examplesAdd README.md files for APG and DropFilterRemove duplicate YAML fileCifar models: remove explicit parameters initializationUpdate required PyTorch version checkPyTorch 1.3 Support (#426)enable load_checkpoint when chkpt_file has an initial component of ~Distiller versioning - fix dual version stringsimage_classifier.py: fix printout when using early-exitEnable ActivationStatsCollector on post-train quantized models (#419)image_classifier.py: PTQ stats collection and eval in same run (#346)Pruning with virtual Batch-norm statistics folding (#415)early-exit: further refactoring and resnet50-imagenettests/full_flow_tests.py: improve early-exit test robustnessEarly-exit refactoring: flexible exits installationRefactor ResNetCifarEarlyExitPrefer .detach() or .dataFix Early-exit codePTQ: Quant params generator - Don't yield anything when no statsBugfix: Deepcopy args when creating ClassifierCompressor (#421)PTQ: Exposed get/set ops for post-train quantization params (#418)update READMEUpdate internal ResNet implementation according to latest TorchVision (#414)update READMERe-enable NLP quant notebooks after following #402 (#412)distiller/utils.py: add param_name_2_module_namefix spelling in a commentapputils/image_classifier.py: fix log of best scoreFix typo in yamlFix typo in yamlCorrect handling of different batch-sizes in collectors (#410)Update READMEFix issue #396Fix commit c2052b2summary_graph.py: fix issue #360inspect_ckpt.py: support for very large modelsUpdate MobileNet v1 baseline training configuration fileFix AMC notebooks' sample commnand-line examples