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sample.py
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sample.py
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import sys
import argparse
import torchvision.models as models
import torch
from ptflops import get_model_complexity_info
pt_models = {'resnet18': models.resnet18,
'resnet50': models.resnet50,
'alexnet': models.alexnet,
'vgg16': models.vgg16,
'squeezenet': models.squeezenet1_0,
'densenet': models.densenet161,
'inception': models.inception_v3}
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='ptflops sample script')
parser.add_argument('--device', type=int, default=0,
help='Device to store the model.')
parser.add_argument('--model', choices=list(pt_models.keys()),
type=str, default='resnet18')
parser.add_argument('--result', type=str, default=None)
args = parser.parse_args()
if args.result is None:
ost = sys.stdout
else:
ost = open(args.result, 'w')
net = pt_models[args.model]()
if torch.cuda.is_available():
net.cuda(device=args.device)
flops, params = get_model_complexity_info(net, (3, 224, 224),
as_strings=True,
print_per_layer_stat=True,
ost=ost)
print('{:<30} {:<8}'.format('Computational complexity: ', flops))
print('{:<30} {:<8}'.format('Number of parameters: ', params))