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FINETUNE AIRBRUSH PORTABLE
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Works in theory, but weights that were pruned (= set to zero) were updated during training again - resulting in non-zero weights again. RRP: 187.25 (USD), 189, 210, 330 (CAD), 343 (AUD) Check Price on Amazon. Airbrushes Pistolen Aerografo.die mit Billigpistolen nicht machbar sind. UPDATE: I tried removing the weight_orig of the module using the remove function of the nn.utils.prune. FineTune Airbrush: Airbrushhalter 2-4fach - Düse 'F' (0,2mm) für Excalibur-Serie - Düse 'M' für FT-630/ FT-730/ FT-930 - Luftdruck-Feinregulierung.
Happy to hear your thoughts - maybe you can help me out. Maybe removing the weight_orig of the module using the remove function of the nn.utils.prune library? My intuition says the pruned weights need to be passed now - how can I do that easily? So which parameters do I need to pass to the optimizer when I want to finetune the model again? Because I want pruned weights (which are basically just weights with the value zero) to stay zero. The pruned weight is now accessible directly by calling module.weight.
Which parameters do I pass to the optimizer? weight_orig or weights?īecause model.named_parameters() returns only weight_orig and bias of each module. Easy yet powerful, AirBrush Video is an editing tool that makes video production more effortless than ever before. Now I want to finetune the model again - more specifically only the Conv modules, as the Linear modules were not pruned. Again I would appreciate your help as I am trying to prune iteratively right now:įrom my Conv modules, I pruned the weights using nn.utils.prune.
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