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Created with Raphaël 2.2.020Jul1930May28272217416Apr1413765331Mar628Jan231511109329Dec222019189652127Nov2622191714121187531Oct302818118764127Sep2624231917151310965330Aug28252322211918171613121123Jul2019181716151413111097632125Jun24211614131211109876531May27262119168Apr754325Feb2229Jan2420Dec21Nov26Oct2522186Sep31Aug3026212096515Jul19Jun18171615141231May30Multi Gpu support, Added Masked Option do DotProductSelfAttention layerLayer renamings; misc changesC++ part for multiple input to replay sub nets; bug fixesPreperation for multiple inputs in memory, bug fixesfurther bug fixPerfomance improvements for Memory Layer and bug fixesadded DotProductSelfAttention layer, removed replay for normal MemoryLayerAdded replay for LargeMemory layerfixes to cpp predictin / extension of replaymem predictionbug fixBug FixesRewrote C++ predictor with full cpp api, can now do local adaptionAdded generation of replay subnets for ReplayMemory.new name and parameters for memory layerfixes for large memory layerStarted Implementation of LargeMemory layerMerge branch 'develop' into 'master'bumped version numberMerge branch 'semantic_segmentation' into developfix checking template eval_metric_paramsUpdate settings.xmlMerge branch 'develop' into 'master'Merge branch 'semantic_segmentation' into developupdated cnnarch dependencyupdated GenerationTestuncommented broken tests and marked with todoupdated tests after rebaseupdated tests, pom.xmladded allow_missing and ignore_extra for pretrained weightsadded metric loss accuracy_ignore_labeladded metric AccuracyWithIgnoreLabeladded "groups" parameter for conv and transconvadded weightsPathadded load_pretrained kwargadjusted weights for adding loss_weightchanged crop to crop testadded Crop Layer to supported layersremoved illegal parameter in dice_losschanged crop end to until for compatibilitychanges to crop layer