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Increase FLOPS robustness (#1608)

pull/1609/head
Glenn Jocher 2020-12-05 11:41:34 +01:00 committed by GitHub
parent ba48f867ea
commit 8918e63476
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1 changed files with 2 additions and 2 deletions
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utils/torch_utils.py
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@ -1,12 +1,12 @@
# PyTorch utils # PyTorch utils
import logging import logging
import math
import os import os
import time import time
from contextlib import contextmanager from contextlib import contextmanager
from copy import deepcopy from copy import deepcopy
import math
import torch import torch
import torch.backends.cudnn as cudnn import torch.backends.cudnn as cudnn
import torch.nn as nn import torch.nn as nn
@ -152,7 +152,7 @@ def model_info(model, verbose=False, img_size=640):
try: # FLOPS try: # FLOPS
from thop import profile 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 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 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 img_size = img_size if isinstance(img_size, list) else [img_size, img_size] # expand if int/float