If an input data block in a convolutional network has dimension C$\backslash$times H$\backslash$times W $=96\backslash$times $128\backslash$times $128,(96$ channels, spatial dim $128$x$128)$ and we apply a convolutional filter to it of dimension D $\backslash$times C $\backslash$times HF

$\backslash$times WF $=128\backslash$times $96\backslash$times $7\backslash$times $7,($i$.$e$.$ a block of D$=128$ filters$)$ with stride $2$ and pad $3,$ what is the dimension of the output data block?