use ncnnoptmize to optimize model - nihui/ncnn GitHub Wiki
the typical usage
ncnnoptimize mobilenet.param mobilenet.bin mobilenet-opt.param mobilenet-opt.bin 65536
operator fusion
- batchnorm - scale
- convolution - batchnorm
- convolutiondepthwise - batchnorm
- deconvolution - batchnorm
- deconvolutiondepthwise - batchnorm
- innerproduct - batchnorm
- convolution - relu
- convolutiondepthwise - relu
- deconvolution - relu
- deconvolutiondepthwise - relu
- innerproduct - relu
eliminate noop operator
- innerproduct - dropout
- flatten after global pooling
prefer better operator
- replace convolution with innerproduct after global pooling
usage
ncnnoptimize squeezenet.param squeezenet.bin squeezenet-opt.param squeezenet-opt.bin 0 data 227 224 3
explanation
| parameter | meaning |
|---|---|
| data | input data node, currently support one input |
| 227 | input weight |
| 224 | input height |
| 3 | input channel |
this feature would auto choose the fastest convolution implementation, normally speedup 10%.