torchvision/models/resnet.py
def conv1x1(in_planes, out_planes, stride=1):
    """1x1 convolution"""
    return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False)
def conv1x1(in_planes, out_planes, stride=1):
    """1x1 convolution"""
    return nn.Conv2d(in_planes, out_planes, kernel_size=1, stride=stride, bias=False)
def conv1x1 ( in_planes , out_planes , stride = 1 ) : return nn . Conv2d ( in_planes , out_planes , kernel_size = 1 , stride = stride , bias = False )
1x1 convolution
1x1 convolution