I want your kind attention regarding the pruning methods. I want channel pruning for the ResNet18 pre-tarined model. How can I prune the layers which are not working or helpful during training so I can amend the model to get maximum efficiency/accuracy.
I am attaching a picture below regarding a pruning illustration of the algorithm/model.
Please check our TAO toolkit below.
It can help to prune the non-necessary weight/layer among the training.
Dear, Will this toolkit work on Jetson Nano 2gb? (In regards to specs, capabilities… etc)
Please apply training on a desktop GPU.
Then you can copy the model to Nano and deploy it with Deepstream.
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