def pooling_shape(pool_shape, image_shape, stride):
 (n_images, n_channels, height, width) = image_shape
 height = (((height - pool_shape[0]) / float(stride[0])) + 1)
 width = (((width - pool_shape[1]) / float(stride[1])) + 1)
 assert ((height % 1) == 0)
 assert ((width % 1) == 0)
 return (int(height), int(width))

def pooling_shape ( pool_shape , image_shape , stride ) : ( n_images , n_channels , height , width ) = image_shape height = ( ( ( height - pool_shape [ 0 ] ) / float ( stride [ 0 ] ) ) + 1 ) width = ( ( ( width - pool_shape [ 1 ] ) / float ( stride [ 1 ] ) ) + 1 ) assert ( ( height % 1 ) == 0 ) assert ( ( width % 1 ) == 0 ) return ( int ( height ) , int ( width ) )
calculate output shape for pooling layer .