From dbcb192f2d6631c5414a144e3cce17568c830042 Mon Sep 17 00:00:00 2001 From: Glenn Jocher Date: Sat, 5 Dec 2020 11:41:17 +0100 Subject: [PATCH] Increase FLOPS robustness (#1589) --- utils/torch_utils.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/utils/torch_utils.py b/utils/torch_utils.py index b330ca56..cde934af 100644 --- a/utils/torch_utils.py +++ b/utils/torch_utils.py @@ -152,7 +152,7 @@ def model_info(model, verbose=False, img_size=640): try: # FLOPS from thop import profile - stride = int(model.stride.max()) + stride = int(model.stride.max()) if hasattr(model, 'stride') else 32 img = torch.zeros((1, 3, stride, stride), device=next(model.parameters()).device) # input flops = profile(deepcopy(model), inputs=(img,), verbose=False)[0] / 1E9 * 2 # stride FLOPS img_size = img_size if isinstance(img_size, list) else [img_size, img_size] # expand if int/float