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HOW to prune the zero-weight in the conv layers after train the model using block_group_lasso or breadth_decay_mult?
I found the sparsity rate in each conv layer apparently increased. Like 36% sparsity in conv1_1. But i dont know how to remove these invalid weights.
The text was updated successfully, but these errors were encountered:
HOW to prune the zero-weight in the conv layers after train the model using block_group_lasso or breadth_decay_mult?
I found the sparsity rate in each conv layer apparently increased. Like 36% sparsity in conv1_1. But i dont know how to remove these invalid weights.
The text was updated successfully, but these errors were encountered: