Ghostnet can do some operations on the feature maps of the inter-layer by manipulating the Class ConvX in the operations.py
And other works shoud modifies the Class Comp in operations.py

Run instructions

python validate.py --data --model --actbit <8 or 16 for ghostnet>

# python validate.py --model mobilenet_v3_large --data ./imagenet

# python validate.py --model resnet_18 --data ./imagenet

# python validate.py --model resnet_50 --data ./imagenet

# python validate.py --model resnext_101 --data ./imagenet

# python validate.py --model googlenet --data ./imagenet

# python validate.py --model shufflenet_v2 --data ./imagenet

# python validate.py --model inception_v3 --data ./imagenet

# python validate.py --model mobilenet_v2 --data ./imagenet

# python validate.py --model ghostnet --data ./imagenet --actbit 8

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Quantized models with python

Related tags

Overview

quantized-network

To do some operations before convolution layer in these networks：

Run instructions

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