Unverified 提交 8918e634 authored 作者: Glenn Jocher's avatar Glenn Jocher 提交者: GitHub

Increase FLOPS robustness (#1608)

上级 ba48f867
# 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): ...@@ -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
......
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