How do I interface this pruning code 16 with SqueezeNet Deep Compression 12 (0.66MB) ?
The pruning code currently uses version 1.1 of SqueezeNet which is 2.8MB
The 0.66MB version is in caffe format, is there any easy way to make it pytorch-friendly ?


Besides, do you guys know where or how to obtain the 0.47MB version of SqueezeNet 7 ?
In other words, how to make the weights bitwidth to be 6 instead of 8 ?
I cannot find the modification spot in this SqueezeNet generation code 7.