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FLOPS report

This commit is contained in:
Glenn Jocher 2020-03-19 12:30:07 -07:00
parent 60c8d194cd
commit 20454990ce
1 changed files with 5 additions and 0 deletions
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5
utils/torch_utils.py
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@ -88,6 +88,11 @@ def model_info(model, verbose=False):
(i, name, p.requires_grad, p.numel(), list(p.shape), p.mean(), p.std())) (i, name, p.requires_grad, p.numel(), list(p.shape), p.mean(), p.std()))
print('Model Summary: %g layers, %g parameters, %g gradients' % (len(list(model.parameters())), n_p, n_g)) print('Model Summary: %g layers, %g parameters, %g gradients' % (len(list(model.parameters())), n_p, n_g))
# Report FLOPS
# from thop import profile
# macs, params = profile(model, inputs=(torch.zeros(1, 3, 608, 608),))
# print('%.3f FLOPS' % (macs / 1E9 * 2))
def load_classifier(name='resnet101', n=2): def load_classifier(name='resnet101', n=2):
# Loads a pretrained model reshaped to n-class output # Loads a pretrained model reshaped to n-class output