glenn-jocher commited on
Commit
9f27902
1 Parent(s): d8f5fcf

Improved FLOPS computation (#1398)

Browse files
Files changed (1) hide show
  1. utils/torch_utils.py +1 -1
utils/torch_utils.py CHANGED
@@ -156,7 +156,7 @@ def model_info(model, verbose=False, img_size=640):
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  flops = profile(deepcopy(model), inputs=(torch.zeros(1, 3, stride, stride),), verbose=False)[0] / 1E9 * 2
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  img_size = img_size if isinstance(img_size, list) else [img_size, img_size] # expand if int/float
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  fs = ', %.1f GFLOPS' % (flops * img_size[0] / stride * img_size[1] / stride) # 640x640 FLOPS
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- except ImportError:
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  fs = ''
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  logger.info(f"Model Summary: {len(list(model.modules()))} layers, {n_p} parameters, {n_g} gradients{fs}")
 
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  flops = profile(deepcopy(model), inputs=(torch.zeros(1, 3, stride, stride),), verbose=False)[0] / 1E9 * 2
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  img_size = img_size if isinstance(img_size, list) else [img_size, img_size] # expand if int/float
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  fs = ', %.1f GFLOPS' % (flops * img_size[0] / stride * img_size[1] / stride) # 640x640 FLOPS
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+ except (ImportError, Exception):
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  fs = ''
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  logger.info(f"Model Summary: {len(list(model.modules()))} layers, {n_p} parameters, {n_g} gradients{fs}")