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Thanks for your paper and sharing code. I have some confusions about code, can you explain it for me.
In the file pruning_metrics.py, How do you apply different feature map scores level ? Are they used to decide which channel should be prune?
I don't see anywhere you using one of this feature map scoring method. Are they used?
Did you prune the Batch Normal and Bias? How did you decide the channel to prune in this components (Batch Normal & Bias) ?
The text was updated successfully, but these errors were encountered:
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Thanks for your paper and sharing code. I have some confusions about code, can you explain it for me.
In the file pruning_metrics.py, How do you apply different feature map scores level ? Are they used to decide which channel should be prune?
I don't see anywhere you using one of this feature map scoring method. Are they used?
Did you prune the Batch Normal and Bias? How did you decide the channel to prune in this components (Batch Normal & Bias) ?
The text was updated successfully, but these errors were encountered: