def METHOD_NAME(self):
    pw_max = self.channels ** -0.5
    dw_max = self.kernel_size ** -0.5
    torch.nn.init.uniform_(self.pointwise_conv1.weight.data, -pw_max, pw_max)
    if self.bias:
        torch.nn.init.uniform_(self.pointwise_conv1.bias.data, -pw_max, pw_max)
    torch.nn.init.uniform_(self.depthwise_conv.weight.data, -dw_max, dw_max)
    if self.bias:
        torch.nn.init.uniform_(self.depthwise_conv.bias.data, -dw_max, dw_max)
    torch.nn.init.uniform_(self.pointwise_conv2.weight.data, -pw_max, pw_max)
    if self.bias:
        torch.nn.init.uniform_(self.pointwise_conv2.bias.data, -pw_max, pw_max)