in svhn_based_exp/models.py [0:0]
def __init__(self, num_classes=10):
super(ConvNet, self).__init__()
self.conv1 = nn.Conv2d(3, 32, kernel_size=5, stride=1, padding=2, bias=False)
self.bn1 = nn.BatchNorm2d(32)
self.conv2 = nn.Conv2d(32, 32, kernel_size=5, stride=2, padding=2, bias=False)
self.bn2 = nn.BatchNorm2d(32)
self.fc1 = nn.Linear(512, num_classes)