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car-detection-bayes
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FLOPs at 480x640, BN init

This commit is contained in:
Glenn Jocher 2020-04-12 18:44:18 -07:00
parent 1038b0d269
commit 77e6bdd3c1
1 changed files with 3 additions and 3 deletions
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6
utils/torch_utils.py
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@ -55,8 +55,8 @@ def initialize_weights(model):
if isinstance(m, nn.Conv2d): if isinstance(m, nn.Conv2d):
nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu') nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity='relu')
elif isinstance(m, nn.BatchNorm2d): elif isinstance(m, nn.BatchNorm2d):
m.weight.data.fill_(1) m.eps = 1e-4
m.bias.data.zero_() m.momentum = 0.03
def fuse_conv_and_bn(conv, bn): def fuse_conv_and_bn(conv, bn):
@ -99,7 +99,7 @@ def model_info(model, verbose=False):
try: # FLOPS try: # FLOPS
from thop import profile from thop import profile
macs, _ = profile(model, inputs=(torch.zeros(1, 3, 640, 640),)) macs, _ = profile(model, inputs=(torch.zeros(1, 3, 480, 640),))
fs = ', %.1f GFLOPS' % (macs / 1E9 * 2) fs = ', %.1f GFLOPS' % (macs / 1E9 * 2)
except: except:
fs = '' fs = ''