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Add bias to Classify() (#1588)

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Glenn Jocher
2020-12-04 15:08:02 +01:00
committed by GitHub
parent 75431d89ee
commit d1ad63206b
1 changed files with 1 additions and 2 deletions
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models/common.py
+1 -2
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@@ -1,7 +1,6 @@
# This file contains modules common to various models # This file contains modules common to various models
import math import math
import numpy as np import numpy as np
import torch import torch
import torch.nn as nn import torch.nn as nn
@@ -244,7 +243,7 @@ class Classify(nn.Module):
def __init__(self, c1, c2, k=1, s=1, p=None, g=1): # ch_in, ch_out, kernel, stride, padding, groups def __init__(self, c1, c2, k=1, s=1, p=None, g=1): # ch_in, ch_out, kernel, stride, padding, groups
super(Classify, self).__init__() super(Classify, self).__init__()
self.aap = nn.AdaptiveAvgPool2d(1) # to x(b,c1,1,1) self.aap = nn.AdaptiveAvgPool2d(1) # to x(b,c1,1,1)
self.conv = nn.Conv2d(c1, c2, k, s, autopad(k, p), groups=g, bias=False) # to x(b,c2,1,1) self.conv = nn.Conv2d(c1, c2, k, s, autopad(k, p), groups=g) # to x(b,c2,1,1)
self.flat = Flatten() self.flat = Flatten()
def forward(self, x): def forward(self, x):