Hi
I was trying to implement my own resnet model by using the model already provided by Pytorch as a reference. I noticed however that none of the convolutional layers had biases, as declared here:
def conv3x3(in_planes, out_planes, stride=1):
    "3x3 convolution with padding"
    return nn.Conv2d(in_planes, out_planes, kernel_size=3, stride=stride,
                                    padding=1, bias=False)

Is there any reason for this? I didn’t see any mention of removing biases in the original paper.