Seeking advice on a coding issue

[ldfgood]

In the 'shift' class within shift.py, why is it necessary to multiply the zero matrix created for xpos and ypos by 1.5? In the end, won't they both be zero anyway?
class Shift(Module):

def __init__(self, channel, stride, init_scale=3):
    super(Shift, self).__init__()

    self.stride = stride

    self.xpos = Parameter(torch.zeros(channel,requires_grad=True,device='cuda')*1.5)#不知道这个乘以1.5有什么含义
    self.ypos = Parameter(torch.zeros(channel,requires_grad=True,device='cuda')*1.5)

    self.xpos.data.uniform_(-1e-8,1e-8)
    self.ypos.data.uniform_(-init_scale,init_scale)

def forward(self, input):
    return ShiftFunction.apply(input,self.xpos,self.ypos,self.stride)