class BasicBlock(nn.Module):
expansion = 1
def __init__(self, in_planes, planes, stride=1, bn=False):
super(BasicBlock, self).__init__()
self.conv1 = nn.Conv2d(
in_planes, planes, kernel_size=3, stride=stride, padding=1, bias=False)
self.bn = bn
if bn:
self.bn1 = nn.BatchNorm2d(planes)
self.conv2 = nn.Conv2d(planes, planes, kernel_size=3,
stride=1, padding=1, bias=False)
if bn:
self.bn2 = nn.BatchNorm2d(planes)
self.shortcut = nn.Sequential()
if stride != 1 or in_planes != self.expansion*planes:
self.shortcut = nn.Sequential(
nn.Conv2d(in_planes, self.expansion*planes,
kernel_size=1, stride=stride, bias=False),
# nn.BatchNorm2d(self.expansion*planes)
)
def forward(self, x):
if self.bn:
out = F.relu(self.bn1(self.conv1(x)))
out = self.bn2(self.conv2(out))
else:
out = F.relu(self.conv1(x))
out = F.relu(self.conv2(out))
out += self.shortcut(x)
out = F.relu(out)
return out
