An input image to a Convolutional Neural Network has the size of $173$ by $173$ and the filter $($kernel$)$ has the size of $19$ by $19.$ If we use the "same" convolution method, with the stride size $1,$ the padding size becomes $\_\_\_\_\_\_.$